Table of Contents
Chapter 1: Data Management as a Prerequisite to Data Leveraging
Data leveraging requires architectural and engineering disciplines
Why is data management important?
An incorrect educational focus
Lack of agreement over who is responsible for data assets
Value-added data management is derived from data-centric development best practices
Data-centric approach leads directly to organizational productivity advantages
Data management consists of five integrated practice areas
Improving organizational data management maturity
Chapter 2: Bottom Line Pay-offs: Eleven Financial Cases
Who’s doing what, and why? ($25 million annually)
Three ERP cases that also apply to software application package implementation
Real solution cost ($30,000,000 versus a roomful of MBAs)
The additional 45% is worth $50 million
What happened to our funding? (at least $1 million in government funding)
But data stuff is complicated; how do I explain it? (£500 really increased project clarity)
Chapter 3: Real Live Pay-offs: Five Non-Monetary Cases
Everyone has bills to pay (but some bills are more equal than others)
Identifying payment error correction and boosting troop morale? (priceless)
Saving warfighter lives (friendly fire death prevention)
Saving warfighter lives (US Army suicide prevention: a clear data governance success)
Chapter 4: And Then There Are the Lawyers: An Illustrative Legal Matter