The Data-Driven Podcasts

The Data-Driven Podcasts

Data Wise Academy is pleased to announce its partnership with Michael Waitze Media to present The Data-Driven Podcasts. Michael Waitze, the founder of Michael Waitze Media, will be leading bi-weekly conversations with Gauthier on Data & Digital Transformation.

The Data Wise Podcast is committed to having the most substantive, informative and fun conversations on Data. Our joint venture will show the power of Being Data Driven, not merely in theoretical terms, but real-world applications and using solutions to real-world problems.

Episode 01 Data and Digital Transformation

In Episode 01, Michael Waitze and Gauthier Vasseur discuss Digital Transformation and how it cannot be decoupled from Data Mastery.  What is the big deal, how do these two subjects connect and why are they inseparable.

Why is Data so important to Digital Transformation and how can Innovation, Design Thinking, and Data Mastery become core to that Transformation?

Finally, how is all of this key to company survival? Get ready for a fun and informative conversation on these topics.

Listen to the first episode available on:

Episode 02 Data and The Future of Work

In Episode 02, Gauthier joined Michael from Paris to talk about Data and the Future of Work. They established that it is not just about Artificial Intelligence and Machine Learning. Gauthier and Michael agreed that machines remain unsuited for human-style innovation and creativity. They also make the case that human collaboration and compassion are necessary ingredients for real and sustainable innovation.

They also discuss how we should prepare for data’s impact on work, the types of people we should recruit and what are the essential and core qualities of the modern employee.

Listen to the second episode available on:

Episode 03 Data and Data Science, It Is Not Only About Algorithms

In Episode 03, Michael and Gauthier got a bit more technical and talked about data science.  When Michael asked Gauthier to define it, he chuckled at first, and they agreed that there was no ‘quick definition.’ However, Gauthier continued to say that when data got too complex, too bulky and too diverse and it was necessary to apply scientific methods to determine what the data was conveying, then we are entering into the realm of data science.

As the Executive Director of the Fisher Center for Business Analytics at Berkeley, Gauthier knows that there is no data science without a clear business question. One can not simply go out and analyze massive data sets and just try to find something.

Listen to the third episode available on:

Episode 04 Data and Data Governance, Enforce It Street Fighter Style

In Episode 04, Gauthier is back in Menlo Park, California to discuss Data Governance with Michael. Data governance represents all of the practices, actions, and policies that are necessary and put into place for getting good, clean data into the decision-making process for business.

During this conversation, Gauthier and Michael covered the following topics: What are some of the best practices for dealing with and organizing this data? Is there a necessity for Data Departments that sits outside existing departments? What is Data uniformity and why it matters? Data control and internal/external dissemination. Does internal company politics play a part? KYC and compliance? Data protection and information protection becomes more important as more and more data gets collected. Is there legal exposure to mishandled data?

Listen to the fourth episode available on:

Episode 05 Data and Data Lakes, The Tagging is the Holy Grail

In Episode 05, Gauthier and Michael reconvened and discussed Data and Data Lakes. These conversations are really starting to build on each other…and the more they talk about Data, Big Data and its impact on all aspect of our lives, the more Michael learns.

He is also getting a much better understanding of how dynamic the sector is and its continued potential for massive growth. We are in the early stages of the influence of Big Data for sure.

They covered some of the following topics. What is a data lake and how does it differ from a data warehouse? What are the differences between structured, semi-structured and unstructured data? Why Hadoop is relevant to data lakes and why and how it was originally developed.

Finally, they discussed how data lakes are used to address real-world business questions and queries.

Listen to the fifth episode available on:

Episode 06 Davos Can Be Dangerous Without the Right Shoes

In Episode 06, Gauthier and Michael Waitze discussed Data and Davos, Davos Can Be Dangerous Without the Right Shoes.

Gauthier was invited to speak at the World Economic Forum in Davos! Not only that, but he was asked to speak on a topic that he and Michael had covered on one of our previous podcasts… “The Future of Work.”

Gauthier came away from Davos with many interesting insights, which he shares liberally with Michael during their discussion.

Among many concerns for the future of work and the workforce is a dystopian future in which machines run our lives and humans are subjugated to a life of service to those machines. 

Listen to the sixth episode available on:

Episode 07 Wendy Pfeiffer, CIO of Nutanix:

The Start of My Love for Large Systems

In Episode 07, Michael welcomes our first guest speaker Wendy Pfeiffer to discuss The Start of Wendy’s Love for Large Systems.

Wendy Pfeiffer is the CIO of Nutanix and on the Board of Girls in Tech. She was born and raised in San Jose and is a 5th generation Californian. She saw the Valley transform from a place where one could walk through orchards on the way to school to the Silicon Valley of tech innovation we know today.

Michael and Wendy talked about the convergence of consumer tech and enterprise tech and how complexity on the front end has been abstracted from the technology that we all use. They also discussed the flexibility of technology implementations and the necessity to “future proof” tech to the extent possible. They ended with a conversation about the role of women in the technology space and the work that Girls in Tech does to promote it.

Listen to the seventh episode available on:

Episode 08 Data Visualization, The Connection from Insight to Action

In Episode 08, Michael and Gauthier talked about Data Visualization and his experience at the AFP (Association for Finance Professionals) Conference in Las Vegas. Gauthier was invited to give a seminar on data, data management and advanced visualization.

They talked about how the participants were interested in how data visualization could be inserted into their daily decision-making processes. Michael and Gauthier determined that visualization is the liaison between your analytics and the decisions that companies make based on those analytics.  The idea is that if you can not transfer what you analyze into a meaningful message, then you have failed. The audience to whom that message is being delivered is also important… meaning that there are no hard and fast rules about which visualization tools are appropriate. Data visualizations make it really easy to trends, outliers, and correlations.

They delved into some very specific visualization/chart types which were quite interesting. Somehow, they always seem to get back to the point that tools are awesome, but without great data preparation, none of the tools or their output matters.  Also, the meat of the visualization process is not really at the tool level. 

Listen to the eight episode available on:

Episode 09 — Andreea Gorbatai:

There Is a Change in the Balance of Power

In Episode 09, Michael welcomes our second guest speaker Andreea Gorbatai to discuss Change in the Balance of Power.

Andreea Gorbatai is an Assistant Professor in Management of Organizations at the University of California, Berkeley’s Haas School of Business.  Her research focuses on social mechanisms related to knowledge production and information sharing, and on the role of language and emotions in markets. Organizational theory research has examined the various social mechanisms and structures that play a role in knowledge diffusion and the characteristics of this knowledge. However, the perspective of information as a public good and the unintended consequences of different modes of free knowledge production and sharing have been underexplored in that field.


Professor Gorbatai received her Ph.D. in Organizational Behavior from the Harvard Business School, and was a finalist of the 2011 INFORMS / Organization Science Dissertation Proposal Competition. Before her doctorate, she received a Masters in Sociology from Harvard University and an undergraduate degree in Economics and Sociology from Dartmouth College.

Listen to the ninth episode available on:

Meet the Data-Driven Podcasts Speakers

Gauthier Vasseur

Gauthier Vasseur

President & CEO

Gauthier has had countless opportunities to develop extensive management and leadership skills supported by a data-driven passion. Gauthier’s expertise enables him to share his all-encompassing knowledge via academic research, publications, executive training and courses at Stanford and Berkeley University.

Michael Waitze

Michael Waitze

Founder of Michael Waitze Media

Michael is a leader in the digital media space, having pioneered the concept of a podcast network in Asia while building the biggest and fastest growing listener base in the region. His flagship website,, has listeners in over 100 countries and is available on virtually every podcast player that supports RSS feeds.

Other Podcasts – Guest Episodes with Gauthier Vasseur

Wonderly Software Solutions

This Is What Happens Without A Data Strategy with Gauthier Vasseur

There is power in data and how it can be used. Having been in the data industry and in companies such as Google, data analytics expert Gauthier Vasseur could attest to that. Gauthier has an extensive background in all the different facets of data and where they can be applied. He joins us today to talk about the importance of data management and crafting your data strategy in being successful. He also touches on the common data challenges organizations run into, what data you need to collect along the way, and what to do with dirty data.

Listen to this episode available on:

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