Lights On Data Show

Lee Feinberg is the Chief Data Officer and the creator of the concept, "Intent Before Content". He'll give us some tips on how to create a data visualization that sticks with the audience and the message it is trying to convey. Quick tips: its starts with the intent, knowing the audience, drawing the sketch, asking the question, and only at the end employing those data visualization best practices.

Should data governance be called "data governance" or is there a better name for it to ensure its adoption and support? What about the "data steward" role? How should we use communication and change management to help the organization better embrace it? What are those best practices to best improve data quality? How do we stop a data lake from turning into a data swamp?

We address all these questions and more with Shinji Kim, the Founder and CEO of Select Star.

What is the difference between marketing analytics and product analytics? How do the overlap and what should we know to harness their benefits? If you'd like to step into this field, then listen to this episode with our guest, Jean-Sebastien Provost, Ph.D. He is a data scientist with over 12 years of experience performing data analysis to uncover hidden trends in data that tell stories about behavior.

What's the secret recipe to drive company-wide metrics alignment? Arnaud de Turckheim is the CPO & Co-Founder at Castor and will reveal this to us on this Lights On Data Show episode.

The data transformation is a long journey for most companies. So how should we best engage teams and individuals in the data transformation journey, help them grow the data literacy, culture, etc.? Let's address this important topic with Nicolas Averseng, Founder and CEO of YOOI.

Marius Moscovici, CEO and Founder of Metric Insights, will define what BI Governance is and discuss the key BI governance challenges while providing a practical approach to tackling those challenges with a BI Portal. An effective BI governance strategy ensures that you are getting maximum engagement with BI across your enterprise.

Data analyst, data scientist, data engineer, project manager, data steward, etc. We always encounter some or all of these roles in data projects and programs. But there are also some critical roles which more than often are overlooked. Because of that, most data science projects fail.

To tell us all about it, let's welcome Tom Redman, "the Data Doc", and the President of Data Quality Solutions. 

Data catalogs are here to stay and a great asset to data-driven organizations. But how do you best implement a data catalog? To tell us all about it, walk us through the pitfalls to avoid and the best practices to follow, is Rupal Sumaria, the Head of Data Governance at Penguin Random House UK who successfully implemented a data catalog recently.

Kent Graziano, ‘The Data Warrior,’ is an award-winning industry thought leader, author and speaker. A semi-retired Snowflake data cloud and data vault evangelist, an advisor at Lyftrondata, and an overall legend within the world of data. 

Why do so many data governance programs fail? What are those common pitfalls that we can avoid and what are those approaches that work better?