Lights On Data Show

George Firican
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Apr 29, 2022 • 43min

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 overall legend within the world of data.  We'll learn more about the mysterious data warrior, his recent move to join Lyftrondata, data warehouses and the rise of the cloud, Snowflake vs. Redshift, and many captivating stories on how companies benefited from the power of data. 
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Apr 21, 2022 • 45min

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 joining us on this Lights On Data Show episode to share her thoughts and best practices on this topic.
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Apr 15, 2022 • 30min

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, colors and emotions, and how to avoid those common mistakes and pitfalls when creating an effective data story. "The ability to effectively communicate and telling a story with data is no longer a luxury in today’s economy; it is a necessity."
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Apr 5, 2022 • 28min

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 there to reveal to us what the future of data holds.
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Mar 29, 2022 • 45min

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 strategy? What are some potential ROIs that you can call out and measure? Our guest for this episode is Nicolas Averseng, Founder and CEO of YOOI.
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Mar 11, 2022 • 49min

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 tool, OvalEdge, how they onboarded it, and the company's outcomes of the enhanced data discovery and data literacy. We'll be joined by Sharad Varshney, CEO of OvalEdge, and Lucia Arando, Data Management Manager at Naranja X.
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Mar 4, 2022 • 42min

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 skills to invest in, how to build a portfolio, find a mentor, and women in tech. We'll even talk about why reading is beneficial for your health and how you can read more as well as learn a new language. Don't forget to join in the #bookaweekchallenge
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Feb 18, 2022 • 44min

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 these be mitigated? Join us on the Lights On Data Show with James Beecham, CTO & Co-founder at ALTR as we'll address this topic.
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Feb 11, 2022 • 40min

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 joined by Dora Boussias, Director of Enterprise Architecture & Data Strategy.
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Feb 4, 2022 • 43min

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 Data." In this episode we address: Tips on fixing dirty data;  The perfect date format;  Normalization, standardization, and taxonomies;  Procurement and spend data;  Mixing fruits with savory;  What is dirty data and how can you fix it? You're expected to cleanse data, but very few are trained on how to do it so here are some tips to get you started.

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