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Dean of Big Data

William Schmarzo

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Determining Economic Predicted Value of Data (EPvD) Series

I’ve gotten several requests to share all of my work and research behind the Economic Value of Data research work that I did with the University of San Francisco. Given my lazy nature, I thought it would just be easier to create a blog, where I can place all my current and future research, and then just point folks to that blog.

So here are the blogs and articles that lead up to the University of San Francisco “Economic Value of Economics” research paper “Applying Economic Concepts to Big Data to Determine the Financial Value of the Organization’s Data and Analytics.” And there will be more research, blogs and articles coming (working on one right now), so I’ll send out notices whenever we update the blog site. Thanks!

 

 


 

social1“Determining the Economic Value of Data,” June 14, 2016

Bill dissects the process for calculating the monetary value of data.

 

shutterstock_246629827“How to Avoid Orphaned Analytics,” July 27, 2016

Bill explains how to avoid “orphaned analytics.” That is, analytics that are never operationalized or packaged for re-use across the organization.

 

chief data officer“Chief Data Officer Toolkit: Leading the Digital Business Transformation – Part I,” November 4, 2016

Bill proposes a tool kit for the Chief Data Officer who seeks to transform their organization.

 

cityscape_CDO toolkit“Chief Data Officer Toolkit: Leading the Digital Business Transformation – Part II,” November 23, 2016

Bill provides Chief Data Officers with a toolkit to help them lead digital business transformation.

 

shutterstock_360575693 (1)“Data is a New Currency,” January 5, 2017

Brandon Kaier, Field CTO, Mid-Market Americas, explains why data is a new currency, including how data drives value as a result of Network Effect – the Multiplier Effect.

 

Economics of Data“Data and Economics 101,” January 27, 2017

Bill applies economic principles to an important resource–your data–that sometimes conflict with economic models.

 

 

Economic Value of Data“Economic Value of Data (EvD) Challenges,” April 7, 2017

Bill explains the importance of understanding the economic value of data, why it’s hard, and how to do it.

 

Dell EMC TV“Economic Value of Data Interview,” June 19, 2017

Bill outlines his recent Dell EMC TV interview from Dell EMC World focused on his research on determining the economic value of data.

 

 

The post Determining Economic Predicted Value of Data (EPvD) Series appeared first on InFocus Blog | Dell EMC Services.

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More Stories By William Schmarzo

Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business” and “Big Data MBA: Driving Business Strategies with Data Science”, is responsible for setting strategy and defining the Big Data service offerings for Dell EMC’s Big Data Practice.

As a CTO within Dell EMC’s 2,000+ person consulting organization, he works with organizations to identify where and how to start their big data journeys. 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.