SASPHInsideOut: Recent Episodes
Mark Niesta
We love analytics and everything in between. This is an audio experience to the life of employees and customers of SAS PH
Analytics #Practitioners in #Insurance In this episode we answer questions from the audience : Do I need an A team to be successful in IFRS17, how to get the buy in of executives, how will you work with data lakes, what are the nuances of CSM calculation in Finance and Actuary, what are the tools available for testing scenarios to de-risk and so much more!
In this episode we discuss the history of reporting standards in insurance for the Philippines. Romeo Abada the CEO of Miravite Consulting highlights the key local considerstions for implementation. We hope you enjoy this episode of SASPHInsideOut!☀️
Analytics #Practitioners in #Insurance will have their hands full with #IFRS17. 1. Yes compliance. 2. Strategic value, how you articulate this to the org is one of the biggest challenges. 3. Alignment of Actuary, Finance and IT is the ambition, IFRS 17 is basically a synergy of effort.
Analytics #Practitioners in #Banking #Insurance #FSI
We believe banking as we know is disappearing. The biggest threats to banking today are the tech companies such as Amazon, Google, Paypal, Alibaba, Tencent and now Facebook through Libra. Branding has become the play in keeping a captive user base. Everything they have built is new technology platforms and while having a data driven / digital mindset. Compared to brick & mortar banking and insurance companies these tech companies have a lower cost of acquisition. Watch Irene discuss ways to compete and remain relevant against the new breed of competitors.
Analytics #Practitioners in #Loyalty
Did you know the direct-to-consumer wine business (US) in 2018 was $3B? Companies such as SM Retail, Landers, AllDay, Alfamart and other convenience stores have the luxury to watch DTC play in other markets. We have an exchange of ideas with S&R on how they can boost their loyatly game. The intent really is to get your hands wet because as trends crossover markets you are prepared. Check out this episode for strategies and tactics to consider.
Analytics #Practitioners with Robinsons Bank we share ideas to prepare for Next Best Experience. We all have a current state, how you progress and the steps you take is critical. This episode is beyond tactics but self awareness and practicality as well. Enjoy!☀️❤
Analytics #Practitioners What are the difference between artificial intelligence machine learning and deep learning. We talk about use cases and models.
Analytics #Practitioners you have been busy rolling out analytics initiatives. Or you just attended a cool analytics conf. Your boss then asks you how can we earn from our efforts. 🙂 In this episode we provide some tactics and perspectives on how to approach data monetization.
Analytics #Practitioners is data analytics regulated in your part of the world? It is a really interesting discussion that many of our customers ask us. Enjoy!
Stuck in balancing the business "monetization", $$, profitability, product vs the qualitative side of customer life time value? While we are debating best practices we always see customers not deciding to ACT on the decision. Listen in to this episode and we hope you gain then confidence to just keep an open mind and do.🙂☀️
Analytics #Practitioners
Are your projects falling short? Your peers are skeptical with the effort you are putting in? Communicating the value of an analytics project effectively is necessary if you want to start an analytics culture in your organization. Listen in to the discussion we had with a customer and some tactics to become better in justifying your initiatives.
The value of leveraging modern analytics techniques for process improvement is getting back more time for more high quality tasks.
Patrick Meneses, discusses with one of our banking customers some tactics and short term strategies. We believe other industries will benefit as well.
Please share this with a colleague if they need to hear this. Also if there are other types of content you'd like to see from us .. we'd ❤ love to hear from you, please comment below!
Analytics #Practitioners in #Banking #AI #MachineLearning #Speed #Patience #Marketing
Analytics #Practitioners in #CX
Great Customer Experience aligns business objectives with analytics effort. Rama shares his POV during the SAS Leaders Exchange at Shangri La Boracay
Still debating how to calculate Customer Lifetime Value? While there are many tactics to tackle the calculation, there are non math nerd considerations. 🤔
If you are still thinking on a quarterly basis, then it is time for a reset. Products, people and life stages are constantly changing.
CLV was raised a lot during the SAS Leaders Exchange #SASPHLEx2019. Check out one of our 1:1 sessions with Jason Loh, he discuss his analytical POV on CLV.
If this has given you some value, we'd love to hear from you or share this to someone still debating on the CLV calculation. ❤😁
SASPHInsideOut #SASPH #CustomerExperience #listening #context #marketing #CustomerAnalytics
- How is SAS Data Analytics helping auditors? | 2. How can we integrate social media listening in our functions, in COA? | 3. How would you advise government agencies exploring analytics? How would you advise them to get ready, as far as organizational development and capacity building? | 4. Why not develop uniform business establishment id for business sector? | 5. How is SAS' Forecasting capability compared to competitors? | 6. What degree of assurance can your present system address data protection? | 7. Information or data is power, does data analytics need to be regulated? | 8. Why is it that people or culture are not the focus on digitization? | 9. What is the best way to implement Analytics of Things in the government industry? | 10. Urban myth: Data always must be 100% correct? | 11. How do we operationalize analytics? | 12. How can we justify the use of SAS, if there are budgetary constraints? | 13. Do you think the Philippine public is ready for Analytics? Can analytics change public perspective, if yes how? How can analytics be translated to public favorable action? | 14. How does SAS compare to Oracle or Microsoft?
Analytics policies: to see the value of data and strengthen the use of analytics in government.
Q&A sessions at the #SASPHGovForum2019 was on 🔥! Listen and share your thoughts, enjoy!
Analytics #Practitioners in #Government #Policies #Legislation #Fraud #AI #ML
We ❤ #SAS, #Python and #R.
Just do not forget one thing: #Deployment 🤯
If the #SASGovForum2019 Q&A has been valuable for you please share and comment, enjoy!
Analytics #Practitioners using #opensource for #datascience tasks #ModelDeployment #SASViya #SASLife #SASPHInsideOut
Value realization event, VRE, coined by Great Demo's Peter Cohan. VRE the milestone that businesses attempting big data, analytics and now AI .. FAIL to identify during the ideation phase.
What you DO with AI is key, check out what Patrick Meneses shares with his past experience with General Motors.😉🔥☀️
Analytics #Practitioners in #Banking
AI today provides automation and speed in all facets of your data journey. From data ingestion through data cleansing, discovery of insights through visual exploration and up to the deployment of your models. AI will facilitate the selection model champions. It is AI helping you to become an AI practitioner. Check out the conversation Gerard has with a customer from HSBC.😉