Lights On Data Show
Each episode puts the lights on various data topics with renowned industry experts. We cover the following topics in a fun and informative interview format: data science, data analytics, machine learning, artificial intelligence, data visualization, data storytelling, data governance, data management, data quality, data strategy, and much more.
- Update frequency
- every 9 days
- Average duration
- 34 minutes
- Episodes
- 170
- Years Active
- 2020 - 2025
How to Create a Data Visualization That Sticks
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 mes…
How to Do Data Governance Better (Part 2)
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 …
Marketing Analytics vs. Product Analytics
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 t…
Drive Company-Wide Metrics Alignment: A Secret Recipe
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.
How to Engage Your Organization for Data Transformation
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.? L…
What is BI Governance & Why You Can't Live Without It
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 …
Regular People Are Missing in Too Many Data Programs
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 w…
How to Best Implement a Data Catalog
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 bes…
The Data Warrior
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 ov…
How to Do Data Governance Better
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?
Shinji Kim is the Founder and CEO of Select Star and is …
Effective Data Storytelling
This episode's guest is Brent Dykes, Chief Data Storyteller at AnalyticsHero. He'll walk us through the steps to create a good data story, insight vs. observation, the importance of the narrative, co…
The Future of Data
John Thompson is a 2 x Best Selling Author, Keynote Speaker, and Innovator in AI, Data & Advanced Analytics. As a senior technology executive leading Data Science & Product teams is the best one out …
How to Drive Value From Your Data Strategy
Companies have a hard time to create a data strategy and especially one that you can drive value from.
Why is this challenging and what can we do about it? How do you drive value from your data strat…
A Case Study on Enhancing Data Discovery & Literacy within Fintech
In this episode we'll go over a real-case study and go over how a fintech company matured their data governance program, what their drivers were, how support was gained to invest in the data catalog …
Building a Data Science Career Against All Odds
Christina Stathopoulos, Analytical Lead at Waze (Google), shares tips and advice from her experience on how to build a data science career when the odds seem to be against you. We'll talk about what …
How to Solve the 3 Time Sinks of Data Teams
What is your top time sink in your data team? For most it's the time it takes to provide data access, migrate data to the cloud, and govern it all.
So what can be done about these time sinks? How can…
How to Create a Successful Data Strategy
How do you put together a successful data strategy? Let's learn about the typical framework for a successful data strategy, its key pillars, and success factors.
To walk us through these we're joine…
Tips for Fixing Dirty Data
Our today's guest is Susan Walsh, the Classification Guru, the Founder and Managing Director of The Classification Guru Ltd, and the author of "Between the Spreadsheets: Classifying and Fixing Dirty …
Evolutionary Optimization Algorithms
Evolutionary Optimization Algorithms are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies.
The…
How Privacy Laws Affect Your Analytics Strategy
How do you make your analytics strategy compliant to your privacy laws? How does PIPEDA, CCPA, GDPR, and so on influence how you engage with your current and potential customers? What are the differe…