Bill Schmarzo

CTO, IoT and Analytics at Hitachi Vantara (aka “Dean of Big Data”) Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business” and “Big Data MBA: Driving Business Strategies with Data Science”. He’s written white papers, is an avid blogger and is a frequent speaker on the use of Big Data and data science to power an organization’s key business initiatives. He is a University of San Francisco School of Management (SOM) Executive Fellow where he teaches the “Big Data MBA” course. Bill also just completed a research paper on “Determining The Economic Value of Data”. Onalytica recently ranked Bill as #4 Big Data Influencer worldwide. Bill has over three decades of experience in data warehousing, BI and analytics. Bill authored the Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements. Bill serves on the City of San Jose’s Technology Innovation Board, and on the faculties of The Data Warehouse Institute and Strata. Previously, Bill was vice president of Analytics at Yahoo where he was responsible for the development of Yahoo’s Advertiser and Website analytics products, including the delivery of “actionable insights” through a holistic user experience. Before that, Bill oversaw the Analytic Applications business unit at Business Objects, including the development, marketing and sales of their industry-defining analytic applications. Bill holds a Masters Business Administration from University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science and Business Administration from Coe College.

What We Can Learn about AI and Creating Smart Products from “The Incredibles”

By Bill Schmarzo | January 14, 2019

Creating Smart Products from “The Incredibles” Nothing strikes terror into the hearts of humans more than the idea of an intelligent robot gone bad.  The fear is that a robot can acquire the ability to learn and adapt to the point

2019 Big Data and Data Science Predictions Through the Lens of Comedy Movies

By Bill Schmarzo | December 12, 2018

2019 Big Data and Data Science Predictions It’s that time of year again when I look into the Crystal Skull…er, ball, and make some predictions of the continuing challenges and new trends I foresee in Big Data and Data Science

Dean of Big Data’s Favorite Infographic Picks of 2018

By Bill Schmarzo | December 3, 2018

Big Data Infographics My last University of San Francisco School of Management class of the semester is coming up this week. However instead of a normally boring presentation from me to cap the semester, we are going to review a

The Power of Reframing and the Economics of Starting Pitching

By Bill Schmarzo | November 13, 2018

Economics of Starting Pitching I’m a big fan of Woody Allen’s earlier movies such as “Bananas”, “Sleeper” and especially the award winning “Annie Hall.”  One of the things that always impressed me about Woody Allen was his ability to reframe the

Data Science “Paint by the Numbers” with the Hypothesis Development Canvas

By Bill Schmarzo | October 26, 2018

When I was a kid, I use to love “Paint by the Numbers” sets.  Makes anyone who can paint or color between the lines a Rembrandt or Leonardo da Vinci (we can talk later about the long-term impact of forcing kids

Predict ► Prescribe ► Prevent Analytics Value Cycle

By Bill Schmarzo | October 10, 2018

Predict ► Prescribe ► Prevent Organizations looking for justification to move beyond legacy reporting, should review this little ditty from the healthcare industry: The Institute of Medicine (IOM) estimates that the United States loses $750 billion annually to medical fraud,

Determining the Economic Value of Data

By Bill Schmarzo | September 20, 2018

[Note: I have been trying to write this blog for several years.  But instead of trying to perfect the concept, perhaps the best approach is to simply put the idea out there and let it percolate amongst my readers.  My University of

Why Accept the Hype? Time to Transform How We Approach Emerging Technology

By Bill Schmarzo | September 11, 2018

Time to Transform How We Approach Emerging Technology It’s like a rite of passage – a new technology pops onto the scene and the “pundits,” analysts and venture capitalists (among others) immediately start to over-hype the technology: It’ll stop world

Why Digital Transformation Is So Dang Hard?

By Bill Schmarzo | August 14, 2018

I recently talked to Clint Boulton, author of “Why digital transformations are lagging” about why Digital Transformation is so hard. His article raises lots of interesting points about the inhibitors of Digital Transformation, so I thought I’d share my thoughts

Not Digital Transformation; It’s “Intelligence Transformation” We Seek

By Bill Schmarzo | August 1, 2018

Forrester published a report titled “The Sorry State of Digital Transformation in 2018” (love the brashness of the title) that found that 21% of 1,559 business and IT decision makers consider their digital transformations complete.  Complete? Say what?! The concept of “Digital