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!
Bill dissects the process for calculating the monetary value of data.
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 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.
“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.
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.
Bill applies economic principles to an important resource–your data–that sometimes conflict with economic models.
Bill explains the importance of understanding the economic value of data, why it’s hard, and how to do it.
Bill outlines his recent Dell EMC TV interview from Dell EMC World focused on his research on determining the economic value of data.