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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”, is responsible for setting the strategy and defining the Big Data service line offerings and capabilities for the EMC Global Services organization. As part of Bill’s CTO charter, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He’s written several white papers, avid blogger and is a frequent speaker on the use of Big Data and advanced analytics to power organization’s key business initiatives. He also teaches the “Big Data MBA” at the University of San Francisco School of Management.

Bill has nearly three decades of experience in data warehousing, BI and analytics. Bill authored EMC’s Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements, and co-authored with Ralph Kimball a series of articles on analytic applications. Bill has served on The Data Warehouse Institute’s faculty as the head of the analytic applications curriculum.

Previously, Bill was the Vice President of Advertiser Analytics at Yahoo and the Vice President of Analytic Applications at Business Objects.

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