Bill Schmarzo
  • Male
  • Palo Alto, CA
  • United States
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Profile Information

Short Bio:
Dean of Big Data | Recognized innovator, educator, practitioner Data Science, Design Thinking, Data Monetization | Creator “Big Data MBA” | Author 4 books including "Economics of Data, Analytics and Digital Transformation”

Honorary Professor, National University of Ireland-Galway. Adjunct Professor, Menlo College. Executive Fellow, University of San Francisco
Dean of Big Data
Job Title:
C-Level/SVP/Executive Team
Job Function:
Chief Data Officer (CDO)
Number of employees:
1 to 49
LinkedIn Profile:
Contributing, Other
Topics of Interest
Data Science, Machine Learning, Deep Learning

Bill Schmarzo's Blog

Analytics Maturity: from Descriptive to Autonomous Analytics

Posted on July 26, 2021 at 9:00am 0 Comments

In Chapter 8 of my new book “The Economics of Data, Analytics, and Digitalization Transformation”, I discuss the 8 Laws of Digital Transformation.  My goal for chapter 8 was to push folks out of their comfort zones, especially with respect to how they are defining Digital Transformation success. Why?…


It’s Insights Monetization, Not Data Monetization

Posted on July 11, 2021 at 3:00pm 0 Comments

Okay, this is on me.  I own it.  My blog “Why Data Monetization is a Waste of Time” created quite a stir.  I loved it.  I’d like to take this “data monetization” conversation one step further:

Most organizations should not be…


Defining “Value” – the Key to AI Success

Posted on July 5, 2021 at 12:00pm 0 Comments

I recently conducted a 3-day, remote “Data Monetization: Thinking Like a Data Scientist” workshop for a transportation agency in the Middle East.  Doing this training remotely is a personal challenge as I miss the face-to-face interaction in ideating, validating, and prioritizing the business areas that can benefit from data and analytics.  However,…


Costs of Being an Analytics Laggard…And Path to Becoming a Leader

Posted on June 28, 2021 at 8:30am 0 Comments

How much money is your organization leaving on the table by not being more effective at leveraging data and analytics to power your business?

This question is becoming more and more relevant for all organizations of all sizes in all industries as AI / ML capabilities become more widely available.  And nothing highlights the…


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