Bill Schmarzo
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  • 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

Mastering the Data Economic Multiplier Effect and Marginal Propensity to Reuse

Posted on October 27, 2021 at 10:30am 0 Comments

Note: this blog introduces the concept of the Marginal Propensity to Reuse which is the primary driver behind the Data Economic Multiplier Effect and the Schmarzo Economic Digital Asset Valuation Theorem.  The Marginal Propensity to Reuse states that an increase in the reuse of a data set across…


Reframing the CXO Conversation:  From “Data Monetization” to “Value Creation”

Posted on October 22, 2021 at 7:30am 0 Comments

As data becomes the ubiquitous source of economic value creation, organizations need an end-to-end “data-driven value creation lifecycle” that speaks to and aligns the business executives and the data and analytics teams around the CEO business mandate to unleash the business (or economic) value of the organization’s vast data reserves.  The…


Features Part 3:  Features as Economic Assets

Posted on October 19, 2021 at 2:30pm 0 Comments

One of the follow up topics from my original blog “Feature 01 – Are Features the new Data?” was defining what makes something an Asset and how does that definition map to how we manage and value Features.  But first,…


The Power of Determining User Intent

Posted on October 11, 2021 at 2:00pm 0 Comments

In the digital marketing industry, companies have a fraction of a second to determine a visitor’s intent when they visit a site – that is, what is the visitor trying to accomplish – to guide decisions about 1) what to bid on that visitor (real-time bidding for the right to show them an ad), 2) what ad to show them, and 3) where to place that ad on the…


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