For Information & Knowledge Management Professionals (Length: 14 pages)

July 28, 2008

A Truism For Trusted Data: Think Big, Start Small

A Bottom-Up Valuation Approach For Your Data Quality Initiative

by Rob Karel

with Boris Evelson, Tom Pohlmann, Norman Nicolson

Executive Summary (This is a document excerpt)

Data quality professionals in large enterprises spend much of their time trying to convince senior management to support and prioritize trusted data initiatives, too often with disappointing results. Why so difficult? Delivering trusted data will not directly increase revenue, reduce costs, or improve operational efficiencies — the cornerstones of most funding decisions. Information and knowledge management professionals: Don't build your business case top-down, attempting to capture the potential value across the entire enterprise. Instead, consider a bottom-up approach that defines quantitative and qualitative ROI for only those few select functional organizations that can best articulate and measure the business impact poor quality data has on their processes. Building a business case with those willing to defend it can get your trusted data effort started — and begin the momentum that will eventually attain your cross-enterprise vision.

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TABLE OF CONTENTS

NOTES & RESOURCES

itemThe Cross-Enterprise Business Case For Trusted Data Doesn't Work

itemData Quality And Master Data Management Are The Means, Not The End

itemIt's Better To Cook A Fish Than To Boil The Ocean

itemBottom-Up Valuation: Step One On Your Trusted-Data Journey

itemJustifying A Trusted-Data Project: The Squeaky Wheel Really Should Get The Grease

itemDon't Forget The Softer Side Of The Business Case

itemPeer Success Stories Center On Bottom-Up Valuation

itemPremier Built Its Case Around Product Identification And eCommerce Exchange

itemConsumer Electronics Giant Targets Breakdowns In Its Supply Chain

recommendations

itemStart Lining Up Your Allies Now

Forrester performed questionnaire-based interviews with six user companies spanning multiple industries, and discussed data quality valuation best practices with multiple vendors including IBM, Informatica, Silver Creek Systems, Siperian, and Trillium Software.

Related Research Documents

itemBuilding The Business Case For Master Data Management

May 30, 2008

itemTrends 2008: Master Data Management

May 16, 2008

itemInformation Managers: Deliver Trusted Data With A Focus On Data Quality

January 3, 2008

itemData Governance: What Works And What Doesn't

September 10, 2007

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Analyst: Rob Karel
Technology: Data Quality, Information & Knowledge Management
Geography: Asia Pacific, Europe, North America

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Rating: 8 out of 10
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