Welcome to the Data Coach, a podcast about how Data+People = a Data driven culture. You’ll hear from me, Lorena Vazquez, a passionate data lover , an advocate for data-driven organizations, and now your data coach.
In this episode, I go over the importance of data quality, the dimensions that we measure data against, and some real-life cases where bad quality data can impact our lives.
Research mentioned in the podcast:
ttp://faculty.haas.berkeley.edu/morse/research/papers/discrim.pdf?_ga=2.164751094.872800600.1597026580-336955722.1597026580
In this episode I talk about data engineering fundamentals. I want to make sure that regardless of your technical experience, we’re all on the same page when it comes to terminology and the skill set of data engineers.
Building KPIs YouTube video: https://www.youtube.com/watch?v=tR01lHgaZes
The Data Playbook YouTube Channel: https://www.youtube.com/channel/UCVbkuiRUJyrgDNRDjpUmtwA/
Continuing on the Back to Basic Series, this episode will cover predictive analytics.
In a time when we wished we knew what to do before things get worse, how can predictive analytics help in settling the uncertainty. I talk about how predictive analytics is used in the real world and how we are seeing it used today with the pandemic.
Continuing on the Back to Basic Series, this episode will cover diagnostic analytics.
I’ll go over :
what it means
how it’s useful
talk through a use case of it in real life.
We're going back to basics and starting with descriptive analytics? I'll cover what it means, why you need it, and how it's used in the real world.
What do you do when you don't have a $200k data scientist? It’s time to go back to the basics. In this episode, I will be talking about slowing down and not jumping on the AI bandwagon before you are ready. Walk before you run, that’s the motto.
Show Notes:
What is bad data?
How to fix it? (data governance)
How to prevent it from going bad again?
What are teams?
What is the difference between centralized vs decentralized teams
Which one is better?
Show Notes
What are the different kinds of data teams?
Do we always see these teams in every organization?
Why have these teams?
How does collaboration between these teams work?
Communication strategies
Why I started this podcast
Why it is important to talk about data cultures
What you can do to help