Data Transforming Business: Recent Episodes
EM360
In today’s rapidly-changing technological environment, data offers new ways for business to improve or even completely transform business models. But with this rapid change, it’s difficult to separate hype from reality and determine what practical steps can show value in real-world implementations. In this podcast series, we set out to ask, how is Data transforming business? Expect to hear opinions from leading tech vendors and the people who rely on data for day-to-day business such as Barclays Bank, Mastercard and DS Virgin Racing Formula E Team.
Open source real-time analytics offers unparalleled advantages, providing businesses with freedom and independence to maintain operations seamlessly, even if a vendor issue arises. However, the journey isn't without its challenges. Open source solutions can often be clunky and require specialised expertise to manage effectively.
This is where DoubleCloud comes in, offering a managed platform that addresses these obstacles by handling crucial responsibilities such as backups, high availability, and security updates, allowing businesses to focus on leveraging their data.
In this podcast, Christina Stathopoulos speaks to Vladimir Borodin, Co-Founder and CEO of DoubleCloud, about open source strategies and the advantages of the DoubleCloud solution.
Key Takeaways:
- DoubleCloud's managed platform helps overcome the challenges of open source, such as clunkiness and a lack of expertise.
- Successful customer use cases demonstrate the performance and cost benefits of DoubleCloud's solution.
- The transition phase to DoubleCloud's solution depends on the complexity of the application.
- Using open source whenever possible is recommended.
Chapters:00:00 - Introduction and Background
02:29 - The Advantages of Open Source
04:21 - Challenges of Open Source
06:47 - The Power of Real-Time Analytics
09:11 - Success Stories: Improved Performance and Reduced Costs
12:54 - Navigating the Transition to DoubleCloud's Solution
15:14 - The Importance of Using Open Source
Privacy by Default and Design is a fundamental principle of the General Data Protection Regulation (GDPR). It prioritises transparency, user control, and data security from the outset. This approach ensures that privacy is integrated into systems and processes by default rather than as an afterthought.
By embedding these practices, organisations enhance trust and accountability while meeting regulatory requirements. However, challenges such as resistance to change and the need for cultural transformation must be addressed to implement this principle effectively.
In this episode of the Don’t Panic It’s Just Data, Tudor Galos, Senior Privacy Consultant, speaks to Paulina Rios Maya, Head of Industry Relations, about the impact of privacy by default and design extend to user experience, where issues like consent fatigue and the necessity for user-friendly interfaces arise.
Key Takeaways:
- Organisations face challenges in implementing privacy by default and design, including resistance to change and the need for cultural transformation.
- Privacy by default and design impact user experience, with issues like consent fatigue and the need for user-friendly interfaces.
- Regulations like GDPR and CCPA incorporate privacy by default and design principles, emphasising compliance and accountability.
Chapters:
00:00 - Introduction and Overview
01:00 - Core Principles of Privacy by Default and Design
02:19 - Difference from Traditional Privacy Practices
04:09 - Challenges in Implementing Privacy by Default and Design
05:33 - Impact of Privacy by Default on User Experience
08:14 - Alignment of Privacy by Default with Regulations
09:04 - Ensuring Compliance and Trust
11:24 - Implications of Emerging Technologies on Privacy
13:15 - Innovations in Privacy-Enhancing Technologies
15:50 - Conclusion
Safe Software's Feature Manipulation Engine (FME) plays a pivotal role in the City of Fremont's operations, particularly in ensuring accurate and efficient data submissions under the Racial and Identity Profiling Act (RIPA). By automating complex workflows and enhancing data quality, FME not only ensures seamless compliance with RIPA requirements but also optimises processes for their ITS and GIS divisions.
FME also drives innovation in projects like the DroneSense programme and their Cityworks asset management integration. With seamless data integration and powerful visualisations, FME empowers the City of Fremont to enhance operations, improve asset management, and support informed decision-making.
In this episode, Jonathan Reichental, founder at Human Future, speaks to John Leon, GIS Manager for the City of Fremont, to discuss:
- FME
- RIPA
- Public Safety
Chapters:
00:00 - Introduction and Overview of the City of Fremont and IT/GIS Division
03:01 - Explanation of the Racial and Identity Profiling Act (RIPA)
04:27 - Challenges in Meeting RIPA Standards and Utilizing FME
06:21 - How FME Ensures Error-Free RIPA Data Submissions
09:40 - Benefits of Using FME for RIPA Compliance
10:39 - Other Innovative Projects Utilizing FME in the City of Fremont
13:30 - Future Plans for FME in the City of Fremont
17:17 - Recommendations for Government Agencies: Leverage FME for Data Submissions
Real-time data insights help identify performance bottlenecks, manage data efficiently, and drive innovation. Despite the growing need for these capabilities, organisations often face challenges in implementing effective real-time analytics.
Achieving high-concurrency data processing is crucial for overcoming performance bottlenecks in real-time analytics. Embracing real-time analytics is not just a necessity, but a way to transform your data into actionable insights, optimise performance, and fuel business growth.
Yellowbrick is a modern data platform built on Kubernetes for enterprise data warehousing, ad-hoc and streaming analytics, AI and BI workloads that ensures comprehensive data security, unparalleled flexibility, and high performance.
In this podcast, Doug Laney, a Data Strategy Innovation Fellow with West Monroe, speaks to Mark Cusack, the CTO of Yellowbrick, about the power of real-time analytics.
Key Takeaways:
- Real-time analytics enables faster business decisions based on up-to-date data and focuses on enabling actions.
- Using a SQL data platform like Yellowbrick, designed for high-concurrency data processing, can address performance bottlenecks in real-time analytics.
Chapters:
00:00 - Introduction and Overview
01:07 - The Benefits of Real-Time Analytics
06:23 - Overcoming Challenges in Implementing Real-Time Analytics
06:51 - High Concurrency Data Processing for Real-Time Analytics
13:59 - Yellowbrick: A Secure and Efficient SQL Data Platform
Accurate and reliable data is essential for training effective AI models. High-quality data ensures precision, reduces bias, and builds trust in AI systems. Similarly, Master Data Management (MDM) systems enhance data quality by integrating data from multiple sources, enforcing data governance, and providing a single source of truth. This helps eliminate discrepancies and maintain data integrity.
Integrating Product Information Management (PIM) with MDM ensures accurate and consistent product data across all channels, crucial for data-driven marketing. This combination centralises customer and product data, enabling precise targeting and personalised experiences. MDM and PIM integration leads to higher ROI and improved customer satisfaction by supporting effective marketing strategies.
In this episode of the EM360 Podcast, Paulina Rios Maya speaks to Philipp Krueger about integrating PIM and MDM functionalities and how it streamlines operations, improves data accuracy and supports data-driven marketing strategies.
Chapters
00:00 - Introduction and Importance of Data Quality in AI Models
05:27 - Core Capabilities of an MDM System
08:13 - The Role of Data Governance in Data Management
13:37 - Enhancing Customer Experience and Driving Sales with Pimcore
19:47 - Integration of PIM and MDM Functionalities for Data-Driven Marketing Strategies
22:59 - The Impact of Accurate Data on Revenue Growth
27:28 - Simplifying Data Management with a Single Platform
One of the biggest challenges businesses face when it comes to data visualisation is handling the volume of data and the need for faster processing methods.
There's a common misconception that effective data visualisation must be fancy and interactive, but simple visuals can be just as powerful. Ann K. Emery, an expert in the field, believes that accessibility doesn't have to be time-consuming or expensive.
In this podcast, she shares actionable strategies for creating accessible visualizations with Paulina Rios Maya, Head of Industry Relations at EM360Tech.
Key Takeaways
- Avoiding red-green colour combinations,
- Ensuring proper colour contrast
- Using direct labelling instead of legends.
- Avoiding using all-caps
- Using grey to highlight important information
- Employing small multiples to simplify complex visualisations.
Chapters:
00:00 - Introduction
00:54 - Defining Accessibility in Data Visualization
02:17 - Big A Accessibility Tips
06:36 - Little a Accessibility Strategies
12:28 - The Future of Data Accessibility
Managing cloud costs effectively has become a significant challenge for organisations relying on public cloud services. FinOps addresses these challenges by ensuring efficient spending and governance of cloud resources. Key practices in FinOps include achieving complete visibility into cloud usage and costs, fostering cross-functional collaboration between finance, operations, and engineering teams, and utilising data-driven decision-making to optimise cloud investments.
By embracing a centralised team, organisations can instil a culture of governance and efficiency in cloud cost management. This approach can lead to enhanced resource utilisation and substantial cost savings. With Vantage, your organisation can cultivate a robust cloud cost governance and efficiency culture, ensuring your cloud investments yield maximum value.
In this episode of the EM360 Podcast, Kevin Petrie, VP of research at BARC US, speaks to Ben Schaechter, CEO and co-founder of Vantage, to discuss:
- FinOps
- Vantage’s platform
- Cloud costs and FinOps practices
Chapters00:00 - Introduction and Overview
02:02 - Understanding FinOps and Cloud Cost Governance
07:45 - Best Practices in FinOps: Centralization and Collaboration
13:50 - The Role of Data-Driven Insights in Optimizing Cloud Costs
Managing large volumes of data in the context of AI and machine learning applications presents challenges related to data quality, data preparation, and automation.
The requirements of data management are changing with the advent of generative AI, requiring more flexibility and the ability to handle larger volumes of data. Pimcore leverages AI and machine learning to automate data utilization and improve data intelligence.
By streamlining data management and integrating various data sources, Pimcore drives revenue growth for its customers. The platform combines data management and experience management to deliver personalized data across communication channels. Pimcore’s MDM solution addresses the challenges of integrating data for both human and machine consumption. The choice between physical and virtual MDM hubs depends on the use case and industry.
In this episode of the EM360 Podcast, Doug Laney, Data and Analytics Strategy Innovation Fellow at West Monroe speaks to Dietmar Rietsch, Managing Director and Co-Founder of Pimcore, to discuss:
- Data management
- AI
- Machine learning
- Data quality
Maximising data relationships through text analytics, particularly with tools like LLMS and Knowledge Graphs, offers organisations unprecedented insights and capabilities. By leveraging these advanced technologies, businesses can unlock hidden connections and patterns within their data, leading to more informed decision-making and strategic planning.
Integrating Ontotext's solutions is a game-changer, empowering organisations to extract, organise, and visualise complex information from unstructured data sources. With Ontotext's expertise in semantic technology, businesses can construct robust knowledge graphs that offer a comprehensive understanding of their data landscape. This comprehensive approach not only facilitates better analysis and interpretation of data but also ignites innovation and propels business growth in today's increasingly data-driven world.
In this episode of the EM360 Podcast, Paulina Rios Maya, Head of Industry Relations, speaks to Doug Kimball, Chief Marketing Officer at Ontotext, to discuss:
- AI in Enterprise Knowledge
- LLMs
- Knowledge Graphs
Chapters
00:00 - Challenges of Integrating LLMs into Enterprise Knowledge Management Systems
04:35 - Enhancing Compatibility and Efficacy with Knowledge Graphs
07:21 - Innovative Strategies for Integrating LLMs into Knowledge Management Frameworks
11:07 - The Future of LLM-Driven Knowledge Management Systems: Intelligent Question Answering and Insight Enablement
Managing cloud computing costs is a pressing challenge faced by organisations of all sizes across industries. As businesses increasingly migrate their operations to the cloud, the complexity of managing and optimizing costs grows exponentially. Without proper oversight and strategy, cloud expenses can quickly spiral out of control, leading to budget overruns and financial inefficiencies.
Vantage addresses this issue head-on by providing organizations with a powerful platform equipped with automated cost recommendations, customizable reports, and real-time monitoring capabilities. By leveraging advanced analytics and machine learning, Vantage empowers teams to gain unparalleled visibility into their cloud spending and make informed decisions to optimize costs.
In this episode of the EM360 Podcast, Dana Gardner, Principal Analyst at Interarbor Solutions speaks to Ben Schaechter, CEO and Co-founder of Vantage, to discuss:
- Cloud cost management
- FinOps
- Cost optimization
- Automated cost recommendations
Ensuring the reliability and effectiveness of AI systems remains a significant challenge. Generative AI must be combined with access to your company data in most use cases, a process called retrieval-augmented generation (RAG). The results from GenerativeAI are vastly improved when the model is enhanced with contextual data from your organization.
Most practitioners rely on vector embeddings to surface content based on semantic similarity. While this can be a great step forward, achieving good quality requires a combination of multiple vectors with text and structured data, using machine learning to make final decisions.
Vespa.ai, a leading player in the field, enables solutions that do this while keeping latencies suitable for end users, at any scale.
In this episode of the EM360 Podcast, Kevin Petrie, VP of research at BARC US speaks to Jon Bratseth, CEO of Vespa.ai, to discuss:
- the opportunity for Generative AI in business
- why you need more than vectors to achieve high quality in real systems
- how to create high-quality GenerativeAI solutions at an enterprise scale
Geographic Information Systems (GIS) have transformed urban landscape analysis and government policy creation, albeit not without challenges. In the past, GIS analysts often visited locations to piece together information physically.
With the help of cutting-edge platforms like Safe Software’s FME, cities like Burnaby, British Columbia, have revolutionised their operations. This has led to a significant enhancement in the quality of life for its residents. From predictive modelling to real-time data analysis, the potential for innovation appears boundless, underscoring the importance of GIS technology in improving urban operations.
In this episode of the EM360 Podcast, Wayne Eckerson speaks to Herman Louie, GIS Analyst at the City of Burnaby, to discuss:
- Design and implementation of GIS solutions
- Safe Software’s FME platform
- Transition to NG9-1-1
- The future of GIS
Government organisations face a multitude of challenges when it comes to managing their data effectively. From interoperability issues between systems to the need for seamless collaboration across agencies, the complexity can be overwhelming. Safe Software's FME platform offers a comprehensive solution to these challenges by providing a flexible and intuitive data integration platform tailored to the unique needs of government agencies.
With FME, government organisations can overcome the barriers that hinder efficient data management. FME enables streamlined operations and improved decision-making processes by seamlessly connecting disparate systems and applications. Whether it's digital plan submissions, emergency services coordination, or interagency health data sharing, FME empowers government agencies to achieve their data integration goals with ease.
In this episode of the EM360 Podcast, Doug Laney, Data and Analytics Strategy Innovation Fellow at West Monroe speaks to Tom Seymour, Government Sales Team Lead at Safe Software, to discuss:
- Data integration and interoperability
- Safe Software’s FME platform
- FME in governments
- Advantages of FME
- ROI with FME
Ever wonder how search engines understand the difference between "apple," the fruit, and the tech company? It's all thanks to knowledge graphs! These robust and scalable databases map real-world entities and link them together based on their relationships.
Imagine a giant web of information where everything is connected and easy to find. Knowledge graphs are revolutionizing how computers understand and process information, making it richer and more relevant to our needs.
Ontotext is a leading provider of knowledge graph technology, offering a powerful platform to build, manage, and utilise knowledge graphs for your specific needs. Whether you're looking to enhance search capabilities, improve data analysis, or unlock new insights, Ontotext can help you leverage the power of connected information.
In this episode of the EM360 Podcast, George Firican, Founder of LightsOnData, speaks to Sumit Pal, Strategic Technology Director at Ontotext, to discuss:
- Knowledge Graphs
- Use Cases
- Ontotext GraphDB
- Integration of AI
- Industry best practices
The traditional data warehousing landscape is changing. The concept of private data cloud offers a compelling alternative to both cloud PaaS and traditional data warehousing. Imagine a secure, dedicated environment for your data, existing entirely within your organisation's control.
Yellowbrick, a leader in private data cloud solutions, empowers businesses to leverage their data on their terms. Their Bring Your Own Cloud (BYOC) approach offers unmatched flexibility and control. You can deploy Yellowbrick anywhere your data needs to be—public cloud, private cloud, or even the network edge. This ensures compliance with regulations and keeps your data exactly where you want it and can bring down costs.
In this episode of the EM360 Podcast, Wayne Eckerson, President of Eckerson Group, speaks to Mark Cusack, Chief Technology Officer of Yellowbrick, to discuss:
- The need for hybrid multi-cloud data platforms
- How Yellowbrick differentiates
- The future of private data cloud
- Why Yellowbrick?
The data analysis landscape is on the precipice of a paradigm shift. Generative AI (GenAI) promises revolutionary insights, but traditional systems struggle to feed its insatiable appetite for well-structured data. Imagine GenAI as a high-powered engine – it needs meticulously organised fuel to reach its full potential.
In this episode of the EM360 Podcast, Analyst Christina Stathopoulos guides Deborah Leff (CRO at SQream) and Jason Hardy (CTO, AI at Hitachi Vantara) as they dissect:
- The Bottlenecks of Traditional Systems
- Unlocking GPU Potential
- Fueling Insights with Structured Data
- Faster Time to Insights
This episode goes beyond theory, exploring real-world examples (like a company querying a staggering 64 quadrillion rows) It showcases the potential for SQream and Hitachi Vantara to empower organisations to make data-driven decisions with unprecedented speed and accuracy.
Cloud-native is the new gold rush for businesses seeking speed, efficiency, and innovation. But are you getting the most out of your investment? Legacy troubleshooting and observability tools can be hidden anchors, dragging down your developers' productivity.
The result? You're not reaping the full benefits of cloud-native, and your competitors are leaving you in the dust.
Chronosphere, a leader in modern observability, can empower your developers and unlock the true potential of cloud-native. Buckle up and get ready to discover how observability can become your secret weapon for unleashing developer agility and innovation.
In this episode of the EM360 Podcast, VP of Research at Eckerson Group, Kevin Petrie speaks to Ian Smith, Field CTO at Chronosphere, to discuss:
- Observability
- Cloud-native software developers
- Developer inefficiency
- The Chronosphere solution
- Data pipeline best practices
Intelligent document processing (IDP) is a technology-driven approach that automates document processing and extraction of valuable information.
While handling structured data is considerably straightforward, processing and analyzing unstructured data is laborious. IDP equips users with the ability to process a multitude of document types, including PDFs, spreadsheets, and Word documents, among others.
IDP platforms offer a powerful solution that streamlines data extraction from these documents by eliminating the need for any manual intervention. The extracted data, when integrated, enables you to make reliable decisions and improve business efficiency.
In this episode of the EM360 Podcast, Analyst Christina Stathopoulos speaks to Jay Mishra, COO at Astera, to discuss:
- Traditional document processing and the problems it causes
- AI-powered solutions
- The future of document processing and data extraction
Find out more about Astera’s unified, no-code data management platform here.
Rainfall. Temperature. Humidity. Natural disasters. Human methods of reading and predicting weather can be tracked all the way back to native tribes and ancient civilisations - and it’s still prevalent in the modern world today.
Whether (no pun intended) it’s an agricultural organisation looking to leverage precipitation data for planting schedules, energy companies looking at temperature trends to predict energy consumption patterns or transportation outfits looking to avoid delays, mastering weather data can really help modern companies to protect themselves against the unknown.
In this episode of the EM360 Podcast, Analyst Susan Walsh speaks to Christian Schluchter, CTO at Meteomatics, to discuss:
- Key use cases of weather data
- Mastering data access and predictive analytics
- The importance of being data driven
Maximize business value with data products — they incorporate essential data and related capabilities to meet key business objectives.
Data products contain datasets, related metadata and a wide range of functionality to understand if data is fit for use. But unlike relying on a raw dataset or data pipeline to generate value, data products deliver a comprehensive, packaged solution that enables data users to achieve their data-driven goals with easier accessibility.
In this EM360 Podcast episode, Head of Content Matt Harris sits down with Nathan Turajski, Senior Director of Product Marketing at Informatica. They explore how to:
- Drive better business outcomes with data products
- Understand the benefits of user-friendly and efficient consumption
- Improve AI, analytics and customer experience initiatives
Data access is a critical aspect of how businesses manage and leverage their data to drive decision-making.
With large volumes of data from various sources, it’s important that enterprises have a strategy in place to make the accessing process faster and more efficient while remaining compliant, secure and accurate.
In this episode of the EM360 Podcast, Christina Stathopoulos, Founder at Dare to Data speaks to Anthony Cosgrove MBE, Co-Founder at Harbr, to discuss:
- Data access challenges and pitfalls
- Facilitating business use cases with improved data access
- Advice for CDOs and data professionals
The data lakehouse has been quickly gaining popularity within the data management and analytics space.
Combining elements of data lakes and data warehouses, the data lakehouse aims to address the challenges associated with both in a way which helps companies reach their data and business goals.
In this episode of the EM360 Podcast, Christina Stathopoulos speaks to Read Maloney, CMO at Dremio, as they discuss:* The state of the data lakehouse * How an effective lakehouse strategy can be the key to digital transformation * How data lakehouses empower business
Telemetry data pipelines are designed to collect, process and transmit telemetry data from various sources towards a place where businesses can store, analyse and utilise it for better decision-making.
Important for SREs, DevOps, ITOps, SecOps, DataOps and the wider tech professional, taking control of your telemetry data to address data challenges in a compliant and secure way should be a common goal for the modern business.
In this episode of the EM360 Podcast, Analyst Kevin Petrie speaks to Tucker Callaway, CEO at Mezmo, to discuss:
- Understanding telemetry data pipelines
- Addressing data challenges with telemetry data
- Optimising performance and enhancing security with telemetry data
In an era dominated by the relentless surge of information, data has become the lifeblood of modern businesses and organisations. As the volume, variety, and velocity of data continue to escalate at an unprecedented pace, the role of data leaders has become increasingly pivotal.
These architects of the digital realm are entrusted with the formidable task of not only harnessing the power of data but also steering their organizations through the complex and ever-evolving data landscape.
In this episode of the EM360 Podcast, Head of Content Matt Harris speaks to Niamh O’Brien, Senior Manager of Solution Architecture at Fivetran to discuss:
- Challenges faced by data leaders today
- Becoming GenAI ready
- The big opportunity for CDOs and their teams
Having a 360-degree view of your business means having a comprehensive and holistic understanding of every aspect of your organisation.
It involves collecting and integrating data from various sources and departments to create a unified, real-time view. This panoramic perspective enables businesses to make informed decisions, identify opportunities, and address challenges across the entire enterprise.
In this episode of the EM360 Podcast, Head of Content Matt Harris speaks to Prash Chandramohan, Senior Director of Product Marketing at Informatica. They discuss:
- Having a 360-degree view of your business
- Driving great customer experiences
- Is your data ready for AI?
Web data extraction. The ability to transform any website into structured data.
Using a residential proxy network, companies have been able to fine-tune their data collection for a range of use cases - from threat intelligence and email protection to ad verification and market research.
But why do companies need this now? How do the different stacks of data extraction work and how can you make sure which one works best for you? And how is AI being used in this technology to reach industry-leading scalability and reliability?
In today’s episode of the EM360 Podcast, Head of Content Matt Harris speaks to Eitan Bremler, VP of Products at NetNut, to discuss:* Data extraction and why its a problem for companies * The different stacks of data extraction * How AI/ML should fit in to your data strategy
Product data that is clean, consistent and enriched with accurate information and descriptions gets results.
When your customers can easily find the products they're looking for you can expect sales to increase, product returns to all but disappear, and brand loyalty to continue to grow. The problem is, how do you consistently deliver this level of quality in a world of disparate data sources, data silos, and the burden of existing technical debt?
AI is a powerful tool that can strategically help this industry unlock the true value of their data and meet the increasing demand for better data. By automating data cleaning, enhancing data quality, and generating actionable insights, organizations can deliver more meaningful experiences to their customers while eliminating the clutter of irrelevant data. This technology accelerates the industry's journey towards data-driven innovation and customer-centricity, ultimately giving trust to the end consumer.
In today’s episode of the EM360 Podcast, Analyst Susan Walsh speaks to Sam Russo, Practice Director of Automotive & Heavy Duty at Pivotree as they discuss:* Why “perfect” product data is so important * Issues in the automotive industry * What AI/ML means for those modelling and enriching product data
In today's data-driven world, where 90% of business decisions rely on data, harnessing the power of enriched data is paramount for organisational growth. This is where data enrichment for analytics comes in.
In this episode of the EM360 Podcast, Head of Content Matt Harris speaks with Andy Bell, VP of Global Data Product Management at Precisely. They discuss and discover how businesses are transforming their strategies by enriching their data with comprehensive demographic, industry, social, and consumer insights, enabling them to make profoundly informed and accurate decisions.
Explore how data enrichment revolutionises various sectors:
- Retail: Craft highly targeted marketing messages using precise customer profiling, identify lucrative markets, and pinpoint expansion opportunities.
- Insurance: Enhance policy pricing decisions with a deep understanding of a property’s proximity to diverse risk factors, ensuring more informed and competitive offerings.
- Telco: Optimize network planning and infrastructure rollout strategies by leveraging enriched demographics, property data, and detailed building footprints.
- Government: Pinpoint essential community services such as aged care, child care, education, and medical facilities, ensuring resources are allocated where they are needed most.
Tune in to the podcast and unlock the immense value of enriched data. Learn how this rich portfolio of data can fuel your analytics, empowering you to make decisions that drive unparalleled growth and success.
Fivetran automates data movement out of, into and across cloud data platforms.
It automates the most time-consuming parts of the ELT process from extracts to schema drift handling to transformations, so data engineers can focus on higher-impact projects with total pipeline peace of mind.
With 99.9% uptime and self-healing pipelines, Fivetran enables hundreds of leading brands across the globe, including Autodesk, Condé Nast, JetBlue, Lufthansa, Morgan Stanley and Pitney Bowes, to accelerate data-driven decisions and drive business growth.
In this episode of the EM360 Podcast, Analyst Christina Stathopoulos speaks to Fivetran’s Founder and COO Taylor Brown at Big Data LDN to discuss:* The data space and how Fivetran fits in * How customers are reacting to generative AI and ML * Trends set to shake up the industry in 2024 and beyond
Data productization. The art of turning raw data into business-ready consumable data products.
Applying product management principles to data management, data productization can connect your business objectives to data and stay ahead of the curve.
But what things should you consider when building a data product? What challenges are likely to arise? And how can you effectively bridge the gap between data teams and business units to ensure the successful adoption and utilization of these products by end users?
In this episode of the EM360 Podcast, Analyst Kate Strachnyi speaks to Colin Brown, CMO at Revelate and Nicolas Doyen, CPO at Revelate, to discuss:
- Building a data product
- Ensuring successful adoption by end users
- Technologies shaping the future of data productization
What is the relationship between product content and customer experience?
A symbiotic one, say experts, but what technologies need to be implemented and how can companies bring in new tools to eliminate their digital debt?
In this episode of the EM360 Podcast, Analyst George Firican speaks to Derek Corrick, GM of Data at Pivotree and Justin Anovick, Chief Product Officer at Syndigo, to discuss:
- The relationship between product content and CX
- Leveraging AI/ML and how that impacts clients
- Best practices for solid content strategy
What is the relationship between product content and customer experience?
A symbiotic one, say experts, but what technologies need to be implemented and how can companies bring in new tools to eliminate their digital debt?
In this episode of the EM360 Podcast, Analyst George Firican speaks to Derek Corrick, GM of Data at Pivotree and Justin Anovick, Chief Product Officer at Syndigo, to discuss:
- The relationship between product content and CX
- Leveraging AI/ML and how that impacts clients
- Best practices for solid content strategy
Corporate Performance Management (CPM) is a set of processes, methodologies, and tools used by organisations to measure and manage their performance and achieve their strategic objectives.
CPM encompasses various activities that help businesses plan, monitor, and analyze their performance against key performance indicators (KPIs) and targets.
But why is it so important? How does this technology interact with other business functions? And how can companies get started?
In this episode of the EM360 Podcast, Analyst Doug Laney speaks to Arthur Forbus, Managing Director and COO at HollandParker, to discuss:
- CPM and why every company needs it
- Misconceptions around CPM
- How to raise your CPM game
Is the modern data stack dead? How can you better leverage your MDS? And how can you stay ahead of the curve in a market which is seeing more and more new trends emerging constantly?
These were questions posed at the recent Modern Data Stack Roadshow; Fivetran's follow-up to the successful Modern Data Stack Conference. These half-day events convene top industry experts to discuss how to drive impact and business growth using data.
With plenty of exciting talking points raised by the industry leaders in attendance, how are some of the biggest movers and shakers talking about the data space right now?
In this episode of the EM360 Podcast, Analyst Susan Walsh speaks to Mark Van De Wiel, Field CTO at Fivetran, to explore: * Keeping up with the modern data stack * Leveraging your modern data stack * Advice on tackling complex data challenges
External data integration is crucial for organisations seeking to enhance their understanding of customers, markets, and industry trends.
By leveraging data from external sources, businesses can gain valuable insights, make informed decisions, and identify new opportunities. But what challenges arise when implementing external data integration, and how can companies navigate some of the common pitfalls?
In this episode of the EM360 Podcast, Wayne Eckerson speaks to Dan Lynn, SVP of Product at CRUX, about:* External data integration and its advantages * Addressing challenges * Best practices and avoiding common mistakes
Moving from an on-prem infrastructure to a frictionless cloud model has become a key goal for many companies.
From scalability to improved security, as well as cost-saving benefits, moving to the cloud bring a lot of benefits. But what challenges are enterprises facing in their migration, and how can this process be made easier?
In this episode of the EM360 Podcast, Analyst Susan Walsh speaks to Alex Merced, Developer Advocate at Dremio, to discuss:* On-prem data lakes * Moving to a frictionless cloud * How to streamline the migration process
Data pipeline automation is revolutionizing the way organisations handle data.
This new approach to data management is challenging the traditional modern data stack, which relied on a series of disparate tools to handle different aspects of data processing. With data pipeline automation, organizations can simplify their data stack, relying on a single tool to manage the entire process.
This shift will allow businesses to focus on insights and decision-making, rather than spending time wrangling data. As a result, data pipeline automation will become the key component of the post-modern data stack.
In this episode of the EM360 Podcast, Analyst Christina Stathopoulos speaks to Sean Knapp, Founder and CEO at Ascend.io, and we’re here to talk about:
- Solving data stack challenges
- Automation in data pipelines
- What the ultimate solution will be
Frictionless commerce is the ability to seamlessly find customers, establish trust, and transact and deliver products without any hiccups.
However, enterprises face three significant problems in achieving frictionless commerce: getting the right data, managing tech debt, and ensuring data interoperability. And much like the old children's book "I Know an Old Lady Who Swallowed a Fly" - each problem seems to lead to another.
That's where Data-as-a-Service (DaaS) comes in. A cloud-based service that provides users with on-demand access to high-quality data, it can help organisations with these challenges by providing them with accurate and reliable data while reducing the burden of managing and maintaining it.
In this episode of the EM360 Podcast, Analyst Doug Laney speaks to Derek Corrick, General Manager of Data Management at Pivotree, to discuss:
- Frictionless commerce and how it can be accelerated
- Common challenges in data management
- Data-as-a-Service and how to get started
Data management is essential for retailers to manage their data effectively to gain valuable insights into customer behavior, preferences, and purchase patterns. By doing so, retailers can make data-driven decisions and improve their operations, sales, and marketing strategies.
However, managing data can be challenging for retailers due to the volume, variety, and velocity of data generated by multiple sources, such as social media, mobile devices, and online platforms.
Retailers must also comply with data privacy regulations and ensure the security of their customers' personal information. Additionally, they need to invest in advanced technology and skilled personnel to manage data effectively.
In this episode of the EM360 Podcast, Head of Content Matt Harris speaks to Ramesh Shurma, Founder and CEO at Orion Governance, to discuss:
- Major data challenges faced by retailers
- Protecting data assets in the face of recession
- Governance predictions for the next five years
In traditional data architecture, data was always centralised in a data warehouse or a data lake and governed by a centralised team.
However, with the rise of distributed systems, microservices, and agile methodologies, this approach has proven to be inadequate for managing data at scale. Data Mesh proposes a different approach, where data is treated as a product and owned by the teams that produce it.
In other words, it's a way of thinking about data management that focuses on decentralisation and autonomy. But how can companies use this to their advantage?
In this episode of the EM360 Podcast, Analyst Christina Stathopoulos spoke to Paolo Platter, Co-Founder and CTO at Agile Lab, about:
- Successful data mesh strategies
- Benefits vs monolithic data lakes
- Customer success stories
Agile Lab works with an array of clients across the globe, creating business vertical solutionsto address specific challenges and needs in their field of activity. To hear about their success stories and the ways in which they exceed their clients' expectations, skip to 19:40.
Location intelligence. Location intelligence is crucial for a company's data-driven decision-making process, providing insights into the relationship between location and business operations. It helps identify new market opportunities, optimize operations, improve customer experiences, mitigate risks, and provide a competitive advantage.
By analyzing location-specific information, companies can make informed decisions that drive growth, reduce costs, and increase profitability. Ultimately, location intelligence is a valuable tool for companies seeking to make strategic decisions that optimize operations, enable growth, and gain a competitive edge in their respective industries.
In this episode of the EM360 Podcast, Analyst Susan Walsh speaks to Adam Ejsmont, Co-Founder of Echo Analytics, about:
- Location intelligence in the modern world
- Data collection and ensuring data privacy
- Why investing in location intelligence is critical
Data is the backbone of any successful business, and having a 360-degree view of it is crucial to understand the key metrics and drivers of the organization.
By collecting, processing, and analyzing data from various sources such as customer interactions, financial transactions, and employee performance, your business can gain valuable insights into its operations.
This 360-degree view of the business data will allow your company to take a data-driven approach to decision-making, leading to better results and improved performance.
In this episode of the EM360 Podcast, Analyst Susan Walsh speaks to Dan Everett, VP of Product and Solution Marketing at Informatica about:
- Connecting different types of data
- Collecting, analysing and storing data while complying with regulations
- Business-wide observability challenges
Data observability refers to the ability to collect, measure, and analyse data from various sources in order to understand the current state and behaviour of a system.
This includes monitoring the system's performance, availability, and errors, as well as identifying patterns and anomalies in the data.
By implementing data observability, organisations can gain insights into their systems and make data-driven decisions to improve performance, optimize resources, and reduce costs. Common tools used for data observability include logging, metrics, tracing, and alerting.
In this episode of the EM360 Podcast, Analyst Christina Stathopoulos speaks to Lior Gavish, Co-Founder and CTO at Monte Carlo, to discuss:* Getting started with data observability * Observability trends for 2023 * How to implement and common challenges
Predictive data intelligence is the use of data, AI-driven algorithms, and machine learning techniques to quickly connect data consumers with the most relevant data they need to drive their business initiatives and deliver greater value.
The goal of predictive analytics is to go beyond simply describing data to enable data consumers to accelerate the next-best actions to take for more effective decision making. For example, a retailer can understand their most relevant and high-quality data sets to better forecast consumer demand for a product, or a financial institution may identify the most accurate, complete customer data used to fuel analytics that help identify the likelihood of default on a loan.
In this episode of the EM360 Podcast, Analyst John Santaferraro speaks to Informatica’s Ian Stahl, Senior Director of Product Management and Chris Phillips, VP of Product Management to discuss:
- Shifting from business intelligence to predictive data intelligence
- Data sharing and data marketplaces
- The data consumption revolution
Data engineering is how companies design and build systems for collecting and using their data at scale. A critical practice as companies are pressured to make more and more data-driven decisions, data engineering is essential for enterprises to get ahead. In this episode of the EM360 Podcast, Editor https://em360tech.com/user/3673 (Matt Harris) speaks to https://www.linkedin.com/in/salma-bakouk-2999711b6?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAADJVC1UBRDqdneOVftZFsyUXKwa2JZVptAE&lipi=urn%3Ali%3Apage%3Ad_flagship3_search_srp_all%3Bzi1fFov0SOWW2R4dOI1ocw%3D%3D (Salma Bakouk), Co-Founder and CEO at https://em360tech.com/solution-providers/sifflet (Sifflet), to discuss; Trends shaping the data engineering industry Caring about data reliability and observability What the future brings
Data engineering is how companies design and build systems for collecting and using their data at scale. A critical practice as companies are pressured to make more and more data-driven decisions, data engineering is essential for enterprises to get ahead. In this episode of the EM360 Podcast, Editor https://em360tech.com/user/3673 (Matt Harris) speaks to https://www.linkedin.com/in/salma-bakouk-2999711b6?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAADJVC1UBRDqdneOVftZFsyUXKwa2JZVptAE&lipi=urn%3Ali%3Apage%3Ad_flagship3_search_srp_all%3Bzi1fFov0SOWW2R4dOI1ocw%3D%3D (Salma Bakouk), Co-Founder and CEO at https://em360tech.com/solution-providers/sifflet (Sifflet), to discuss; Trends shaping the data engineering industry Caring about data reliability and observability What the future brings
Data management is essential for the enterprise to get right, especially now as firms across all sectors are collecting and using vast amounts of data. But what exactly is good data management? Why do we need it? And what are some of the unacknowledged ramifications that have serious impacts on our day-to-day lives? In this episode of the EM360 Podcast, Analyst https://em360tech.com/user/3642 (Doug Laney) speaks to https://www.linkedin.com/in/mkapushesky/ (Misha Kapushesky), CEO at https://em360tech.com/solution-providers/genestack (Genestack) and https://www.linkedin.com/in/vivek-iyer-686b301/ (Vivek Iyer), Team Lead, Human Genetics Informatics, from the https://www.linkedin.com/company/wellcome--institute/ (Wellcome Institute), to discuss: What makes good data management How data impacts everyday life Driving behavioural and cultural change
Data culture is becoming an increasingly important philosophy in the modern enterprise. Making data-driven decisions is critical to the success of a company in today’s world, and there really is no better way to do that than ensuring a data culture runs through the firm. There are plenty of studies that show a correlation between the maturity of a data culture and the success of a business, including this one from Collibra which states “Organisations with higher levels of maturity across their data culture are likely to realise higher business benefits and performance versus peers.” In this episode of the EM360 Podcast, Editor Matt Harris spoke to Databricks’ Field CTO Robin Sutara at Big Data London 2022 to discuss: Building and maintaining a data culture Data culture maturity The Women in Data movement
As data continues becoming a core part of how businesses operate and make decisions, managing data quality has never been so important. Poor data quality can hit all enterprise levels hard, from marketers annoying prospects to supply chains becoming unable to automate processes properly. In this second episode of the three-part EM360 Podcast series with Anomalo on data quality, https://www.linkedin.com/in/eshmu/ (Elliot Shmukler), Co-Founder and CEO at https://em360tech.com/solution-providers/anomalo (Anomalo) joins Analyst https://em360tech.com/user/3633 (Christina Stathopoulos) to discuss: The right time for data quality monitoring What happens if you wait too long Who should be involved
Spatial data, also known as geospatial data, affects our everyday lives.A term used to describe data related to locations on Earth’s surface, spatial data can be used in everything from heat maps and political maps to smaller-scale indoor representations like in hospitals and offices. In this episode of the EM360 Podcast, Analyst https://em360tech.com/user/3644 (John Santaferraro) speaks to https://www.linkedin.com/in/spatialdna/ (Todd Lewis), Founder and CEO of Spatial DNA, to discuss: Digital revolution and the challenges it’s produced Helping customers overcome complexity The future of spatial data
Spatial DNA is a partner of https://em360tech.com/solution-providers/safe-software (Safe Software).
Data quality monitoring is a process that manages and ensures high-standard data within an organisation. Performed through strategies like automation and full-stack monitoring, companies set their own data quality metrics and KPIs to measure and evaluate it. In this episode of the EM360 Podcast, Analyst https://em360tech.com/user/3633 (Christina Stathopoulos) speaks to https://www.linkedin.com/in/jeremystanley/ (Jeremy Stanley), Co-founder and CTO of https://em360tech.com/solution-providers/anomalo (Anomalo), to discuss: Data quality monitoring in a data reliant market Using unsupervised ML Changes in the last 5 years
Data governance in the modern world is the managing, utilising and securing of data in enterprise systems, and it’s becoming increasingly more important as organisations face new data privacy regulations as well as the need to make data-driven decisions. Well-designed data governance programs often include governance teams, steering committees and data stewards. But behind these lie data standards, policies and philosophies that can help businesses handle astounding amounts of data in the right way. In this episode of the EM360 Podcast, Analyst Christina Stathopoulos speaks to Ramesh Shurma, Founder and CEO at Orion Governance, to discuss: Current data governance space Bottom-up vs top-down approaches Lowering TCO and increasing ROI
Raw data is data that has not yet been processed for practical use. It, of course, has the potential to become real and actionable information - but the transformation requires selective extraction, organisation and formatting. Businesses today are really beginning to recognise the value of raw data. With consumer data being one of the hottest commodities of the 21st century, the ability to make more informed decisions is driving the enterprise to make this unprocessed data work for them. In this episode of the EM360 Podcast, Analyst https://em360tech.com/user/3644 (John Santaferraro) speaks to https://www.linkedin.com/in/nickjewell/ (Nick Jewell), Senior Director of Product Marketing at https://em360tech.com/solution-providers/incorta (Incorta), about: Hidden gem of modern analytics Acting with intelligence to improve outcomes The world of raw data
Data discovery is a subset of business intelligence (BI), referring to the collecting and consolidating of data from multiple databases into a single source. This makes it much easier to investigate and detect patterns, as well as apply real-time data controls to ensure safe storage and analysis. In this third episode of the three-part EM360 Podcast, Analyst Christina Stathopoulos is joined by Richard Heyns, Founder and CEO of Brytlyt, to discuss: Scaling analytics speed How to optimise the processing of geospatial data The next generation of BI
Location Intelligence (LI) is how we use data to answer spacial questions. It goes beyond visualising data on a map - in fact, the analysis of location data has become integral to our daily lives. From 5G network deployments and geomarketing to Dominos Pizza understanding where you are and what you’re likely to order as soon as they pick up the phone, it’s clear that every sector is adopting LI to strengthen their processes. In this episode of the EM360 Podcast, Ciaran Kirk, Operations Director at IMGS joins Analyst John Santaferraro to discuss Location Intelligence aspects such as: Newest trends in data integration Streaming data challenges Modern data pipelines and what they give enterprises
The trend of data at our fingertips is continuing. Virtually, everything we do is impacted by data. From driving your car to shopping to fighting pandemics such as Covid-19. Everything is impacted by data and understanding is improved by embracing and using it Data powers many technologies and itself is neither good nor bad. As data influences more of our life, we have to ensure that we use it responsibly so as to improve the lives of everyone from customers, employees, citizens, and the planet we all live on. We face many challenges and data plays a critical role in helping us make the best decisions. In the last episode of a three-part podcast series with Safe Software, Analyst Susan Walsh speaks to Don Murray, President and co-founder of Safe Software, to explore: How data was critical in the fight and management of Covid 19 around the world. The importance of using data responsibly so that people and organizations understand the often unintended consequences of their actions. The critical role of data is to drive decisions to meet the challenges we face as individuals, organizations, and a planet. Our future depends on using data.
There is no time like now for all of us to embrace data.
The trend of data at our fingertips is continuing. Virtually, everything we do is impacted by data. From driving your car to shopping to fighting pandemics such as Covid-19. Everything is impacted by data and understanding is improved by embracing and using it Data powers many technologies and itself is neither good nor bad. As data influences more of our life, we have to ensure that we use it responsibly so as to improve the lives of everyone from customers, employees, citizens, and the planet we all live on. We face many challenges and data plays a critical role in helping us make the best decisions. In the last episode of a three-part podcast series with Safe Software, Analyst Susan Walsh speaks to Don Murray, President and co-founder of Safe Software, to explore: How data was critical in the fight and management of Covid 19 around the world. The importance of using data responsibly so that people and organizations understand the often unintended consequences of their actions. The critical role of data is to drive decisions to meet the challenges we face as individuals, organizations, and a planet. Our future depends on using data.
There is no time like now for all of us to embrace data.
Deep learning is a subgenre of machine learning and AI that mimics human behaviour - lending itself to predictive modelling and statistics. But how can we take the power of deep learning and make it more accessible to the citizen data scientist? In this episode of the EM360 Podcast, Analyst https://em360tech.com/user/3633 (Christina Stathopoulos) speaks to https://www.linkedin.com/in/richardheyns/ (Richard Heyns), Founder and CEO of https://em360tech.com/solution-providers/brytlyt (Brytlyt), about: Deep learning and artificial neural network systems DL vs ML Embedding AI into the database
Machine Learning Operations, or MLOps, is a set of practices that aims to deploy and maintain machine learning models reliably and efficiently. Similar to the DevOps approach, MLOps seeks to increase automation and improve the quality of production models while focusing on business requirements. In the first part of this three-episode series on the ‘Transformational Serverless Acceleration for Analytics’, Analyst Christina Stathopoulos speaks to Richard Heyns, Founder and CEO of Brytlyt to cover: Why do two-thirds of models built with the intention to deploy never make it to deployment Databases and the critical role they play Scaling up analytics and ML
Artificial intelligence. The catch-all term defines the machines that can mimic and display sentient cognitive skills such as learning and problem-solving. A key part of modern technology, the advancements of AI indicate just how far the human race has come. AI can be used by businesses to interpret and use massive volumes of data. In this third episode of a three-part EM360 podcast series with Findability Sciences, Data Whisperer and Analytics Expert, Christina Stathopoulos speaks to the company’s Founder and CEO Anand Mahurkar, as the pair explore: Getting the most out of wide data Bringing the power of AI to traditional automation solutions Calculating ROI for AI projects
Digital twins are virtual models designed to accurately reflect a physical object or process. The real-world applications of this are endless - from city planning to construction and decoration, digital twins can help you visualise concepts within spaces with ease. When it comes to processes a digital twin can represent measurements of flows that are difficult to show such as wind direction, or temperature of flows within pipes. What’s more, the twinned object can be outfitted with sensors and produce performance data that can be applied to the digital copy. This offers a valuable insight into how the physical object will perform in real life. How do digital twins relate to spatial data? In the second episode of a three-part EM360 Podcast with Safe Software, President Don Murray speaks to Susan Walsh, Founder and MD of The Classification Guru, about: Digital twins and the evolution of spatial data What expertise and requirements are needed to create a digital twin The potential that lies in digital twins for the future and how they can move society forward
Data democratisation is the continuous process of enabling company-wide access to data, regardless of technical know-how, in a bid to spread a data-led decision-making mindset across all departments of an organisation. It can be a big challenge - and serious investment - for companies as employee education and tool implementation is not trivial undertakings. How can companies set up their data democratisation strategy? In this episode of the EM360 podcast, Content Producer Matt Harris talks to Giuseppe Mura, Director of Solution Engineering at StreamSets, as they tackle: The steps companies should utilise to set up their data democratisation strategy How the demand for DataOps will be affected as businesses adapt their data integration processes Bringing in non-IT-native and non-DevOps experts and providing them with everything they need
While we have made huge steps in transferring information into processes of data analysis, there is still a huge reliance upon hard-to-process document-based information. One of the biggest culprits of this is the healthcare industry. For decades, they have been using this outdated, insecure method of managing patients' private information, which has led to multiple issues, such as data breaches. The restraints of paper-based forms and documents are further highlighted by the problems that arise throughout workflows: misplaced document-based information; slow delivery times as information has to be passed through multiple different parties. Simplifying Processes of Data Analysis On this podcast, Greg Council, VP Marketing and Product Management at Parascript, joins us to discuss the processes of document-based information and why current systems are so outdated. He also outlines how we can best move to a more automated form of operating and what it means to view document processing from an insurance perspective. Listen and learn about: Fundamentals of the healthcare and health insurance market Key challenges around claims-to-payment, also known as revenue cycle management, and the inclusion of documents in the workflow process The impact of numerous parties being involved in a manual automation process The role of NLP in converting complex document-based information into structured data Auto-adjudication and its importance within an automated workflow The implications of non-structured electronic data interchange (EDI) in terms of cost, time, and process Practical advice on where to start with document automation
The data-driven revolution has enabled brands to achieve true customer centricity — but only if they have the right data analysis and experience orchestration capabilities. Whether creating a single customer view, generating predictive insights, or orchestrating seamless omnichannel experiences, organisations must work to make sure their customer data is accurate, accessible, and actionable. The data-driven revolution is transforming the customer experience Hosting this episode of the EM360 Podcast is Susan Walsh, Founder, and MD of The Classification Guru. Joining her is the Head of Martech Strategy at ActionIQ, James Meyers, who will be sharing his insight on the data-driven revolution and its growing impact on the customer journey and customer experience (CX) as a whole. With an ever-growing number of competitors entering the market, it's vital for businesses to grow and retain their customer relationships by ensuring they have a polished, data-driven CX strategy. Tune in to learn about: Why siloed data continues to be one of the biggest pain points, for organisations looking to create seamless CX
The types of valuable insights marketers can obtain if their company's data is de-siloed
Use cases of customer data platforms and how they're helping to power CX strategies today
Decisions organisations face when choosing between building a CPD in-house or licensing from a vendor
Advanced analytics is the next step for organisations that want to be at the cutting edge of data analysis. For decades, organisations have been generating reports, primarily documenting 'What happened?' or 'What is happening?'. Essentially, it was once solely about descriptive analytics reporting, until some decided to take it to the next level with diagnostic analytics - i.e. looking at why things happen. Fast forward to more recent years and the evolution of technologies like data lake and warehouse have led to explosive growth in data volume, velocity, and variety and increased the demand for organisations to garner greater insights from data. This is how advanced analytics was born. Advanced analytics: the next stage in data evolution On this podcast, Susan Walsh, Founder and MD of The Classification Guru, joins Jack Lambert, Technical Partnerships Manager at Jaguar TCS Racing. and Mark Whalley, Manager at Vertica. The trio of data experts shed light on the use cases of advanced analytics through the lens of Vertica's technology partnership with Jaguar TCS Racing. From looking at the current state of the industry to analysing the technical implementation of software into an organisation, you can expect a deep dive into the advanced analytics methods and tools driving the future of data. Discover: How Vertica is using advanced analytics to help businesses accelerate their data analysis The birth, journey, and growth of the technology partnership between Vertica and Jaguar TCS Racing Top tips on how to implement advanced analytics
Digital disruption and transformation are unavoidable in today's digital world. Fueled by the ever-growing and emerging list of next-generation digital technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and data analytics, organisations have no choice but to accept these innovations and utilise them within their operations and ecosystems if they want to remain competitive and succeed. However, as is commonly spoken about in the IT sector, adopting and implementing new technologies is not an 'easy as pie' or smooth sailing process. The Benefits of Time-Series Databases and Opening Up Businesses Digitally The challenges of digital disruption and transformation form the basis of this podcast. Scott Taylor, Principal Consultant at MetaMeta Consulting, speaks with Christian Lutz, Founder, President at Crate.io, and Bernhard Zimmermann, Director Business Development and Partner at Zühlke, to explore the solution: time-series databases. Christian and Bernhard begin by drawing on Crate.io and Zühlke's partnership as a case study example, highlighting the idea of data as the new currency from a digital ecosystem perspective. In particular, Christian lends his expertise on data collection and how we should be using it, sharing the pros and cons he sees from ML and AI models. Following this, the pair detail the business benefits of time-series databases and opening up businesses digitally from a customer portal perspective and a data collection strategy; Bernhard notably explains the data culture challenges for organisations and how to implement a strong data strategy. Final thoughts end on the future of data sharing and what needs to be considered from a security element.
Business leaders are in the midst of the biggest digital transformation revolution that the enterprise has ever seen. As the pandemic continues to accelerate the adoption of digital products and services, corporate culture, operations, technologies, stakeholder relationships/partnerships, and customer management/experience continues to evolve. Data transformation has made the most significant impact. No longer just an add-on, data and analytics are driving organisations on a daily basis, informing key decisions in real-time. In this podcast, Scott Taylor, Principal Consultant at MetaMeta Consulting, sits down with Andy Isenman, Head of Technology: Cloud and Data at Heathrow, Mark Smith, General Manager of Microsoft Solutions, and Nick Baladi, Account Director at Adatis, to talk about utilising the analytics of big data to transform your business. The conversation specifically focuses on the optimisation of data to aid businesses in a post-pandemic economy, in which parallels are drawn to how Adatis assisted Heathrow to be a more responsive organisation by using Microsoft cloud solutions. The cohort of leading data experts discuss the impact of COVID-19 on data and cultural transformation, the importance of being data-driven, and how the multi-stakeholder partnership has successfully aided and benefited Heathrow's data journey and initiatives. Andy, Mark, and Nick also share some words of wisdom for organisations who are looking to begin their data journey and explore where they see data transformation heading in the future.
Cloud storage and data democratization are two strategic technology trends that have revolutionised the enterprise. Whilst the first enables organisations to store data and run workloads off-site, the latter expedites decision making by making data accessible to an entire team. However, in line with the ever-evolving tech landscape, both cloud storage and data democratization must move and evolve with technological changes, updates, and transformations. What are data lakes doing to improve data quality? Joining us to discuss unlocking the future of cloud storage and data democratization and answer 'What are data lakes doing to improve data quality?' is Thomas Hazel, Founder, CTO and Chief Scientist at ChaosSearch. Thomas begins by outlining the evolution and current state of cloud storage and data lakes, before looking at the challenges and opportunities each one benefits businesses. He also explores the philosophy that organisations must put up complicated gates to scale and access data, including top tips on how to avoid this damaging mindset. Final thoughts focus on the benefits of Object Storage from a standpoint of scalability, security, and ROI.
Analytical data is the beating heart of enterprise. It's the critical information we collect to improve customer relations, make better business decisions, and find growth opportunities. But to get it business-ready requires careful consideration and preparation for the right analytics solution. Where There's Data, There's Growth and Profitability In this podcast, Susan Walsh, Founder and MD of The Classification Guru, walks through the practice of transforming business data through analytics with Glen Rabie, CEO at Yellowfin, and Dan Schafer, Senior Database Administrator at Rocknel. Learn from the experts how to simplify complex data and transform spreadsheet data for better business use, ways to approach different data sets more effectively, and how to tackle user-adoption problems head-on. Key Learnings: What organisations should pay most attention to when selecting a data analytics tool, especially from an implementation perspective The importance of supporting an organisation after an analysis tool has been implemented Want to find out more about Yellowfin's approach to transforming business through data? Click here!
Instant analytics and reporting culminate in the new open-source, column-oriented DBMS, ClickHouse. The system has grown to be one of the most popular database projects, with thousands of users generating analytical reports via real-time SQL queries since it publicly launched in 2016 following an 8 year internal testing period with Yandex. When faced with trillions of rows of data and the need to filter, explore, and interact with it, ClickHouse is the solution for businesses. ClickHouse is the Future of Analytics and Reporting In this podcast, Scott Taylor, Principal Consultant at MetaMeta Consulting, is joined by Robert Hodges, CEO at Altinity, to discuss ClickHouse, the first open-source, SQL data warehouse that competes with the major DBMS players. Over the course of the conversation, they look at: The history and background of ClickHouse Benefits of open source from a data perspective Management perspectives of the data journey Applying ClickHouse across small to large organisations
Application Programming Interface, or API, was initially built to tackle the historic IT issue of system integrations. The software enables two applications and their individual data siloes to communicate with ease, leaving companies to focus on matters that do not allow for automation. However, this isn't the only tech problem that API, when managed correctly, can be used to solve. Martin Buhr, CEO and Founder of Tyk is joining Scott Taylor, Principal Consultant at MetaMeta Consulting, to explore how API management can drive digital transformation and continuity. Martin lends his expertise on making data 'talk' and delves into how GraphQL and Tyk's Universal Data Graph is changing the game. He also discusses the differences and benefits of best-in-class solutions versus home-grown solutions, before explaining the importance of digital transformation projects through use cases and customer stories.
Data sharing plays a vital role in ensuring organisations can generate insights, manage risk, and understand their customers. It can, however, be a highly complex and labour-intensive endeavour, with differing regulations across jurisdictions around how financial organisations review, approve and track data sharing activities. In this podcast, Susan Walsh, Founder and MD of The Classification Guru, speaks with Kate Platonova, Group CDO at HSBC, and Lorraine Waters, CDO at Solidatus, about how HSBC is modernising data sharing with their DataVisa initiative. Kate and Lorraine explore the history of data sharing and how HSBC and Solidatus are revolutionising the industry from a digital transformation, ROI, and automation perspective. The two also lend their expert advice on what organisations need to consider when allowing legal experts access to information in a single repository.
Data powers the cogs of every business today and nearly every company wants to transform through the help of it. In a nutshell, data has become a true 'asset' to the modern enterprise, especially in respect of how data analysis can be used to inform and drive business decisions. How Data Analysis Can Inform Business Decisions Joining Scott Taylor, Principal Consultant at MetaMeta Consulting, to unpick and analyse this further is Philip Dutton, Co-CEO and Co-Founder of Solidatus, and Wade Munsie, Global Chief Data Officer at GSK Consumer Healthcare. Philip and Wade share their thoughts on the realism of what goes into making data an asset, data-led decision-making, and the purpose of the CDO. The pair answer key business questions such as: how should companies begin their data transformation journeys and manage their assets effectively? How should a business approach the purpose of the CDO from an investment and governance standpoint? And, how should we deal with data quality? Additional topics of discussion include data ecosystem sustainability and setting up a CDO from scratch.
Digital transformation has changed over the years, especially in light of COVID-19. No longer just a term used to describe 'out with the old technology and in with the new', it now refers to everything from digitising assets to implementing a master data management (MDM) system. Joining Scott Taylor, Principal Consultant at MetaMeta Consulting, to delve deeper into the matter are Kerry Young, Enterworks VP and General Manager for Winshuttle, and Jonathan Varo, Product Information Management Team Lead at Fender Musical Instruments. In this podcast, Jonathan starts by defining what digital transformation is and what it means for a brand like Fender. Following this, Kerry explores digital transformation's relationship with MDM and how the two technologies have helped businesses and their supply chains during the pandemic. To end, Kerry and Jonathan both share their expertise on how companies can kickstart their MDM journey.
In this podcast, Scott Taylor, Principal Consultant at MetaMeta Consulting, is joined by Robert Hodges, CEO at Altinity, to discuss ClickHouse, the first open-source, SQL data warehouse that competes with the major DBMS players. Over the course of the conversation, they look at: The history and background of ClickHouse Benefits of open source from a data perspective Management perspectives of the data journey Applying ClickHouse across small to large organisations
Instant analytics and reporting culminate in the new open-source, column-oriented DBMS, ClickHouse. The system has grown to be one of the most popular database projects, with thousands of users generating analytical reports via real-time SQL queries since it publicly launched in 2016 following an 8 year internal testing period with Yandex. When faced with trillions of rows of data and the need to filter, explore, and interact with it, ClickHouse is the solution for businesses.
This week's guest is making his third appearance in our 12 part series with Cloudera. In this podcast, Scott Taylor welcomes back https://www.linkedin.com/in/paul-mackay/ (Paul Mackay), EMEA Cloud Lead from Cloudera, to lend his expertise on how CDP is driving business transformation with cloud-native data and analytics. Paul appeared in episode 1 and episode 7 to lay the foundations of what enterprise data cloud is and explain the benefits of hybrid cloud strategies. This time, he draws on examples from major banks, telcos, and manufacturers to explain some of the use cases that are currently being delivered on CDP. Next week's final episode: GO ALL IN ON DIGITAL Make sure you're subscribed so that you don't miss an episode of this fantastic series.
Episode 10 of our 12 part series with Cloudera. In this podcast, Scott Taylor speaks to Wim Stoop, Product Marketing Director at Cloudera, about the data centre of the future by running a private cloud. Wim previously appeared in episode 8 to discuss security and governance. This time, he explores the current landscape and challenges of public cloud and what the futuristic utopia of private cloud in data centres means in terms of implementation, benefits, and future-proofing. Wim also touches on whether data analytics on-prem can behave as it does in public and the challenges private cloud addresses around cluster sprawl, upgrade complexity, and missed SLAs, in which he draws on a few helpful use cases. Next week's episode: Enterprise Data Cloud in Action Make sure you're subscribed so that you don't miss an episode of this fantastic series.
We are in the final stretch of our 12 part series with Cloudera. In this podcast, Scott Taylor speaks to Chris Darvill, RVP Solutions Engineering at Cloudera, about the business benefits of data visualisation. Chris begins by explaining how companies can bring data to life with data visualisation tools, before exploring what it means to have a 'common language' between data teams and the business. He then sheds light on the relationship between data storytelling and data visualisation - including the human element in visualisation - and outlines the key aspects that data leaders need to consider when implementing these types of tools. Next week's episode: Data Centres of the Future: Private Cloud Make sure you're subscribed so that you don't miss an episode of this fantastic series.
Episode 8 of our 12 part Cloudera series features two excellent guests. Join Scott Taylor hosting Ana Gillan, Senior Solutions Engineer, and Wim Stoop, Product Marketing Director at Cloudera, as they deconstruct, rationalize, and discuss solutions for this ongoing business challenge. Topics range from how to think of security and governance as a 'business enabler', balancing usability and security, positioning automated security and governance as a benefit for cloud-based businesses, and the burning question: why are we still talking about security and governance in 2021? Next week's episode: Data Visualisation Make sure you're subscribed so that you don't miss an episode of this fantastic series.
A returning guest comes back to provide more fantastic insight into our 12 part Cloudera series. Join Scott Taylor and Paul Mackay, EMEA Cloud Lead from Cloudera, as they discuss how data - and the devices on which it's generated - becomes ever more prolific and why businesses need a hybrid cloud strategy that can span a multitude of different environments and enable them to say yes, not no. Next week's episode: Security and Governance Make sure you're subscribed so that you don't miss an episode of this fantastic series.
This episode marks our halfway point through our 12 part series with Cloudera. In this podcast, Jeff Fletcher, Senior Director of Product Management at Cloudera, explains why we need to rethink how we operationalise ML within the enterprise. Jeff starts by talking about what technology types apply to ML and what people should keep in mind about the operational side when testing. Also, he outlines the boundaries of machine learning, AutoML, and artificial intelligence and how cloud fits into this process. Finally, Jeff explains the importance of feeding and caring for how the data is trained. Next week's episode: Hybrid Cloud and the Power of Yes Make sure you're subscribed so that you don't miss an episode of this fantastic series.
Episode 5 of our 12 part Cloudera sees a returning guest joining us. In this podcast, Jan Kunigk, CTO EMEA, returns to discuss what is needed to set apart a modern data warehouse PaaS (platform as a service) in the cloud from the traditional warehouse solutions. Jan explains the benefit that container technology has in a data warehouse and how that impacts the end-users. He also describes how containerisation in a PaaS offering leads to cloud-native flexibility and how organisations can leverage this for multi and hybrid cloud mobility for cloud spend. Finally, he outlines the role of open standards to truly facilitate the mobility of queries, data, and metadata that enterprises demand from their warehouse solution. Next week's episode: Machine Learning - Take Risks and Fail Make sure you're subscribed so that you don't miss an episode of this fantastic series.
Episode 4 of our 12 part series with Cloudera. In this podcast, Simon Elliston Ball, Director Product Management, Streaming Analytics, and Cyber ML at Cloudera explain why real-time streaming has become so important. Simon starts by talking about the role real-time data streaming plays in encouraging digitally driven innovation. Also, he explains the types of data structures organisations need as well as how this differs from traditional data practices. Finally, Simon discusses the potential that ML brings to real-time data streaming and the considerations for compliance and governance. Next week's episode: Cloud Native Data Warehouse Make sure you're subscribed so that you don't miss an episode of this fantastic series.
Episode 3 is here as part of our 12 part series with Cloudera. In this podcast, Jan Kunigk, CTO EMEA, shares his architectural knowledge of hybrid and multi-cloud deployments for data and analytics. Jan starts by talking about the considerations needed when making the choice between hybrid and multi-cloud. Also, he explains the different architecture and deployment styles for both options. Further to this, he outlines the cost difference and what analytic opportunities they present. Finally, Jan discusses the role CEOs should play in making cloud decisions and how involved they should be in the process. Next week's episode: Data in Overdrive Make sure you're subscribed so that you don't miss an episode of this fantastic series.
It's episode 2 of this fantastic 12 part series with Cloudera. In this podcast, Scott Taylor speaks to Abhas Ricky, Managing Director, Global Head – Strategy & Transformation at Cloudera. Abhas starts by talking about why people implement the cloud and how enterprises can have a better understanding of the costs involved. Secondly, he explains how organisations should define their total cost of ownership model. Also, Abhas explains how ephemeral workloads can be beneficial and the differences between analytical and operational workloads. Finally, he outlines where the complications and nuances come in around the cost of data and analytics. Next week's episode: Critical Technology Decisions for Cloud Make sure you're subscribed so that you don't miss an episode of this fantastic series.
Welcome to season 5! This new and exciting series from Cloudera will take us on a journey across all things cloud and data over the next 12 weeks. In this podcast, Scott Taylor speaks to Paul Mackay, EMEA Cloud Lead at Cloudera. Firstly, Paul outlines what an enterprise data cloud is and how to assess the need for a cloud initiative effectively. Next, he details how organisations make the right choices to leverage cloud correctly and the data management implications. Finally, Paul explains the importance of enterprise-class security and governance. Next week's episode: Optimise the Cost of Data and Analytics with Hybrid Cloud Make sure you're subscribed so that you don't miss an episode of this fantastic series.
Hybrid working has become a common talking point of many organisations in the last year as the increase of remote working has transformed several industries. As one might expect, a change in our work culture drastically changes the demands of our workers, meaning that more skilled professionals are required to handle independent working. The problem is that in its current state, the UK is underprepared for this paradigm shift; according to Coursera's Global Skills Report, the UK has the lowest proficiency for business skills in Europe, ranking only at a 29% proficiency. There is hope for the UK yet; since the pandemic, 24% more women and 32% more unemployed people have enrolled for STEM courses in the UK. This would help to fix the gender gap in STEM, a current concern for many businesses, and it will also help to increase our number of skilled professionals that can perform in the private sector. In this Data Transforming Business podcast, EM360 Head of Content Max Kurton speaks to Anthony Tattersall, VP of EMA at Coursera. Throughout the discussion, Anthony guides us through some of the most popular courses in the UK, the business skills that are trending the most in the UK and the action needed to help fix the skills gaps within enterprise technology.
While organisations are gradually becoming more data-driven, there are still organisations that rely solely on instinct. According to Talend's 2021 Data Health Survey, a whopping 36% of executives are still making gut based decisions, a method which has proved time and time again to be both inefficient and unpredictable. One of the contributing factors to gut based decision making is a lack of trust in data. Data quality varies from industry to industry but within single organisations, it can also vary from person to person. In fact, 38% of data users state that there are no data quality standards in place in their organisation, so why would executives trust data to make decisions? The key to becoming data-driven means ensuring that everyone, from the data-producer to the data-user, is involved in the data lifecycle. This means decentralising data processes to ensure that every member of the team both has a transparent understanding of how data is being used but also feels equally involved in the process. In this episode of Data Transforming Business, we speak to Antony Elliott, Regional VP of Enterprise Sales for EMEA North, Talend about the best ways to maintain healthy data in data-driven organisations.
While it has taken the lead position in infrastructure management, managing data on Kubernetes is a complex subject for many in the industry. Matching users expectations for container-orchestration systems against the needs they have for their databases have unveiled a multitude of unexpected issues. In recent years, storing data within Kubernetes has become more and more common. However, users are still experiencing the same issues. In this new episode of Data Transforming Business, we speak to Datastax’s VP of Developer Relations Patrick McFadin about solving the problems affiliated with data on Kubernetes and what you need to do in order to have a secure database.
As businesses endeavour to effectively action their data, business intelligence (BI) software and analytics operating systems have become all the more important and cherished. Not only do BI software fulfil their purpose of helping companies attain useful business insights, but they can also support flexibility and strengthen governance. Joining Ronald van Loon and EM360 to lend his BI expertise is Ian Macdonald, Principal Technologist at Pyramid Analytics. Firstly, Ian gives a comprehensive introduction to analytics operating systems, before giving an overview of the BI market. He also delves into the improved work capabilities that BI provides to businesses, how BI can improve remote work experiences for employees, and how it helps employees achieve unique goals within their individual roles. Furthermore, Ian outlines the challenges businesses face when creating analytics environments within their organisation. He also advises on the technologies and organisational processes needed to successfully implement analytics.
When an organisation talks about data integration, there are a lot of hurdles to overcome. To achieve results they need to make sure their data is of high quality, organised and formatted. However, this is easier said than done as data engineers are trying to extract data from an ever-changing source. With cloud-based applications and siloed data, it raises a lot of questions as to how to achieve a unified view and gain insightful analytics. In this podcast, Ronald van Loon speaks to Mark Maxwell, Head of UKI Strategic Sales at Fivetran. Firstly, Mark outlines why an organisation should incorporate data integration into their analytic strategy. Then he explains what key decisions are needed for data warehousing and their workloads and analytics processes. Also, Mark demonstrates what a typical automated data integration process involves when an organisation is starting this journey. Finally, he looks at how this solution can help teams focus on analytics over ETL.
Data pipelines are becoming a quintessential part of every organisation that is wanting to be data fluent. This means DataOps is becoming increasingly more important in this process as it is used by analytic and data teams, to improve quality and reduce the cycle time of data analytics. However, now organisations are facing unprecedented challenges with current events and widespread lockdown. It's important to understand how to guide DataOps teams through these rapid changes and uncertainties so that data can remain functional. In this podcast, Ronald van Loon speaks to Suki Dhuphar, EMEA Field Engineering Lead at Tamr. Firstly, Suki outlines the challenges that DataOps teams face with remote work and how to overcome these challenges. Then he explains how DataOps teams streamline their data engineering processes once they're equipped with the right tools. Also, Suki explains how a remote work environment impacts an organisations data pipeline and creating a culture that is adaptable. Finally, he explains the best practices needed to help increase data and analytics efficiency for transitioning processes.
For organisations of any size, data management is key and data virtualisation is the next logical step in making that a reality. The role that data virtualisation plays within data management is to bridge the gap between IT and the business. This allows the combination of data in real-time and allows for true business transformation, so that the data is available to everybody while keeping it secure, allowing users or other applications to gain the access and insights they need. In this podcast, Ronald van Loon speaks to Paul Moxon, Senior SVP of Data Architecture & Chief Evangelist, Charles Southwood, Regional VP – Northern Europe & MEA at Denodo and Sylvain Dutilh – Principal BI Administrator at Landsbankinn. They discuss the vital role data virtualisation plays in modern data management and accelerating digital transformation strategies. Also, how this promotes a culture of data democratisation across an organisation. Next, they explore some interesting case studies and also discuss why data fabric is a key resource in improving exploration and discovery. Finally, they look at typical data virtualisation deployment scenarios and the next steps within the context of an organisation’s data journey.
Organisations who are in the early stages of data analytic maturity struggle with poor data quality, inconsistent processes and lack of co-ordination across their organisation. Also, those organisations with low BI maturity don’t have formal governance programs in place at all. These low maturity organisations often have BI platforms that are more traditional and reporting centric. In this podcast, Ronald van Loon speaks to Ed Thompson, CTO at Matillion about how an organisation can achieve data and analytics maturity. Firstly, Ed outlines a typical customer experience and how you define data milestone along with the tools needed to start a data journey. Then he explains the challenges of data integration and how businesses maintain data governance over such large amounts of data. Finally, we learn about suitable cloud strategies as well as how to prepare teams to be ready for data, analytics and machine learning.
Across organisations, we see a drive for next-generation systems as organisations require more scalability and flexibility. With these demands comes the need for a change in architecture so that businesses can help develop the next generation of systems and move from traditional relational databases to NoSQL databases. In this podcast, Ronald van Loon speaks to Dr Mohammed Haji, Manager - EMEA North Solutions Engineering at Couchbase and Mritunjay Singh, Principal Solution Architect at BT to understand how NoSQL can transform enterprise application. Firstly, they discuss NoSQL integration for supporting cloud-native applications, and the key role NoSQL plays in new stack technology. Then they consider how enterprise are using NoSQL to improve data performance and using it to support emerging trends. Also, Mritunjay and Mohammed review how data is categorised compared to SQL and the effect this has on scaling. Finally, they explore what organisations need to focus on when adopting a NoSQL solution to optimise the end result.
All businesses understand that there is real value in data and that it is a strategic asset for all organisations. However, a lot of companies are still struggling to rapidly unlock this value due to a lack of resources and time. In order to capitalise on this, organisations need to have a solid data warehousing solution in place. In this podcast Ronald van Loon speaks with Weelin Lim, Chief Product Officer at TrueCue and Pratim Das, Head of Solutions Architecture, Data and AI at Microsoft to understand the strategic power of data warehousing and people analytics. Firstly, they address the business challenges that end to end data warehousing, and people analytics can address. Then, Weelin and Pratim discuss what's needed from an organisational, technological, cultural, and team perspective when adopting these solutions and who the SaaS end-to-end data warehousing solution is right for. They also explore the steps organisations need to take to meet the demands of evolving analytics environments and to put a people analytics strategy into practice. Finally, Weelin and Pratim discuss the short term and long term business impact of an end-to-end data warehousing strategy and offer their advice for organisations looking to implement this and a people analytics solution.
Data has become a valuable asset for businesses in every industry. In particular, it enables organisations to fine-tune their strategies, deliver better customer experience, and much more. As a result, cloud has become increasingly commonplace within enterprise environments. Simultaneously, Internet of Things (IoT) has also grown in popularity and will continue to do so as our future becomes increasingly connected. In light of this, Ronald van Loon, Director at Adversitement, speaks with Hannu Valtonen, VP Product & Co-founder at Aiven, to explore real-time data's role in application development in the cloud. Firstly, Hannu delves into how companies use data in store and in operation for a competitive advantage. He then goes onto outline how organisations can use this to deliver a better customer experience.
Robotic process automation (RPA) has gained significant traction within the last year. However, despite having secured a place in the market, RPA is still fairly new. In light of this, https://www.linkedin.com/in/ronald-van-loon-5411a/?originalSubdomain=nl (Ronald van Loon) speaks with https://www.linkedin.com/in/rob-hughes-2398843/ (Rob Hughes), VP – Head of Marketing EU at https://www.automationanywhere.com/uk/ (Automation Anywhere) to find out more about this exciting technology. Firstly, Rob defines RPA and what makes it such a hot topic today. In particular, he addresses the confusion between artificial intelligence (AI) and RPA and outlines AI's role in the RPA realm. Then, Rob explores what is driving the increasing popularity of RPA and demonstrates the use cases for it across various industries. Finally, he discusses the challenges associated with RPA implementation and how to deploy it successfully.
Augmented intelligence is driving the well-overdue reevaluation of data models. Michel Morvan at Cosmo Tech and Robert Plana at Assystem join us on this podcast to talk with us about augmented intelligence, as well as Cosmo Tech’s role in it. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
A recent 451 Research survey of enterprise users showed that 84% found at least some of their strategic decisions at their organisations are data-driven. Further to this, the survey found that data is becoming increasingly important to organisations. So, how should companies be acting on their data? Here to lend his expertise on the matter is John Walls at Looker. John shares his thoughts on the opportunities related to self-service analytics and how to deliver the benefits without compromising governance or unified metrics. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
Advanced analytics are powering today's decision making and operational efficiency. Today’s organisations can now take advantage of real-time decision making with thanks to newer technologies. However, does this guarantee quality? Joining us in this episode to discuss how to manage the quality of real-time data is Syncsort’s Aisan Baird. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
Big data, IoT, and cloud are just three technologies that encourage businesses to become more data-driven. More and more organisations are recognising the benefits of leveraging data for strategic advantage. However, this boom in data has uncovered an IT skills gap, leaving business-centric staff trying their hand at filling it. Fortunately, the tools available today are easy to use, taking some of the burden off. Chris Maddox at Paxata and Jean-Luc Chatelain at Accenture, a key partner of Paxata, join us to talk about these tools. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
The promise of the public cloud has instead paved the way for inconvenient costs. This is a result of applications becoming more refined, leaving companies wondering where to deploy them. Does this mean that private cloud is the way forward? Joining us in this episode to talk public versus private is JR Rivers, Co-Founder and Chief Technology Officer at Cumulus Networks. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
Today’s business intelligence groups can take advantage of Octopai’s automated centralised cross-platform metadata search engine. This allows such groups to quickly discover and also govern shared metadata. While metadata management is nothing new, new methodologies are transforming the effect it can have on business success. Joining us in this episode to talk about Octopai’s platform and optimising metadata is Amnon Drori, CEO and Co-Founder of the company. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
Organisations are turning to business intelligence (BI) and data analytics to give their strategy a competitive edge. This is especially so in an age of digital transformation. At hand to lend their expertise on the matter are Yellowfin’s Glen Rabie and TreeHive Strategy’s Donald Farmer. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
Data visualisation is increasing in popularity as companies move towards making intelligent data-driven decisions. Analytics providers are recognising this and, as a result, are offering innovative ways to visualise insights. Joining us on this podcast today is Jimmie Lenz, Principal at The Financial Risk Group, to demonstrate how SAS are moving to the forefront of data visualisation. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
Today’s episode explores the ways that AI is reshaping how organisations do business in this digital economy. In particular, the discussion focuses on what it means for the future and the million dollar question: will AI replace human beings? Spencer Doyle, Chief Business Developer at Noodle.ai, joins us to give his perspective on AI in the industry. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
Globally, companies have been redressing themselves as more data-driven, or as data companies. This is due to data becoming widely acknowledged to drive innovation today. One company that has embraced this is Deutsche Telekom. Notably, the company launched a data intelligence hub that became the first marketplace offering secure data exchange for business customers and AI. In this episode, Sven Löffler at Deutsche Telekom and Chris Darvill at Cloudera discuss the innovative platform. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
Kickstarting our third series of Data Transforming Business, EM360’s David Argent met with https://www.linkedin.com/in/nick-curcuru-1557469/ (Nick Curcuru), formerly at https://www.mastercard.co.uk/en-gb.html (Mastercard), and https://www.linkedin.com/in/mattmaccaux/ (Matt Maccaux), formerly at https://www.dellemc.com/en-gb/index.htm (Dell EMC), to talk big data. In this episode, our speakers go back to basics, starting by exploring where the term ‘big data’ came from. As well as this, they strip back any confusion surrounding big data and tell us what it means fundamentally. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
Most organisations today rely on ERP systems to manage their complex business processes, but are often frustrated in integrating these systems due to their technical complexity. Sage provides a unique solution that provides a robust ERP systems with a strong focus on business insights and analytics. A prime focus of the solution is to unlock the business value of ERP systems by analysing the valuable data from these systems, and integrating them with other key data sources such as data warehouses and data lakes. Join David Rawling from Sage and Donna Burbank from Global Data Strategy as they discuss how to unlock business insights from ERP systems using Sage’s unique approach. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
Self-service business intelligence (BI) is a growing trend as more and more business users want to be in greater control of their own reporting and analytics. Business users are often frustrated, however, when faced with the underlying complexities of the data structures and interrelationships between data sources. ERP systems are notoriously complex in terms of their underlying data structures, given the vast amount of tables and undecipherable data structures & business context. Given the fact that the majority of businesses today run on ERP systems, much of the data that’s most critical to the business resides in these systems. Is there a way to navigate the complexity of these systems, or is unlocking the data in these systems an unachievable goal? Join Garth Laird from Zap and Donna Burbank from Global Data Strategy as they discuss practical steps to achieving a successful self-service BI program for ERP systems. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
Lagan Group Holdings is a leader in the construction and asset management space, and a key part of their strategy is to become more data-driven, using data for strategic advantage. A challenge, however, is that data is scattered in a number of systems—from billing to procurement to payroll, making it difficult to create a single view of key data assets. Lagan has overcome these challenges, and have implemented a self-service business intelligence & reporting to gain data-driven insights. Join Jim Fennell from Lagan Group and Donna Burbank from Global Data Strategy as they discuss the challenges and benefits of using self-service BI to become a data-driven organisation. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
In the fifth and final episode of the first series, Donna Burbank is joined by the Vice President of Global Big Data Consulting at Mastercard and a representative from Dell EMC. This episode explores how the digital economy is changing the way organisations do business around the world to such an unprecedented scale that it is now being called the next industrial revolution. There are plenty of tips on how to protect your most important asset - information! Whether you are a Chief Data Officer looking to understand what new technologies and methodologies are available or a businessperson trying to understand how to protect information, listen to this educational podcast to support your business transformation initiatives. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
In the fourth episode of the series, Donna Burbank chairs a panel consisting of the CTO from DS Virgin Racing Formula E Team and also representatives from HPE and Cloudera. They discuss how new business models are emerging as data-driven technology provides opportunity for change. The also look at whether the CDO, traditionally a ‘back office’ role is now one of the most important roles within an organisation. Whether you are a Chief Data Officer looking to understand what new technologies and methodologies are available or a businessperson trying to understand the challenges, listen to this educational podcast to discover how important data can be to support your business transformation initiatives. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
This is the third episode of the series and Donna Burbank is joined by Erwin, Sandhill Consulting and Swisscom. The panel discuss innovative ways to increase revenue and reduce costs using data-driven digital technologies. Whether you are a Chief Data Officer looking to understand what new technologies and methodologies are available or a businessperson trying to understand the challenges around data quality, listen to this educational podcast to discover how data modelling can support your business transformation initiatives. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
This is the second episode of the series and here Donna Burbank is joined by representatives of Syncsort and Hortonworks. The panel discuss whether Hadoop augments the data warehouse or replaces it and conclude by looking at how business users and IT can work together in these ecosystems in the future. Whether you are a Chief Data Officer looking to understand what new technologies and methodologies are available or a businessperson trying to understand the challenges around data quality, listen to this educational podcast to discover how data quality and data governance can support your business transformation initiatives. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)
For the first episode Donna Burbank is joined by representatives of Barclays, Collibra and Trillium Software to discuss the ways organisations think about innovation and growth. The panel discuss how accurate, relevant and timely data is the key to success. Whether you are a Chief Data Officer looking to understand what new technologies and methodologies are available or a businessperson trying to understand the challenges around data quality, listen to this educational podcast to discover how data quality and data governance can support your business transformation initiatives. For information regarding your data privacy, visit https://www.acast.com/privacy (acast.com/privacy)