(Length: 15 pages)

October 3, 2006

Multidomain Data Warehousing Governance Must Balance Business Authority With Expertise

by J. Paul Kirby

with Connie Moore, Lucy Fossner


Executive Summary (This is a document excerpt)

Data warehousing initiatives increasingly span multiple business domains to meet organizations' strategic goals, but project teams encounter difficulties in providing accurate and complete functional specifications. Extending requirements across domains inevitably increases the challenge by provoking cross-domain disagreements — making it critical to involve individuals with the authority to resolve those disagreements. Forrester recommends a business data governance model with three roles — the sponsor, the diplomat, and the guru — to maintain the proper balance of authority and expertise so that organizations can specify requirements with minimal iteration that align with their goals.

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TABLE OF CONTENTS

NOTES & RESOURCES

itemData Warehousing Projects Struggle With The Basis

itemChanging Business Process Silos Require Methodology

itemThree Roles Make Business Data Governance Succeed

itemThe Executive Sponsor Protects The Initiative

itemDiplomats Set Priorities And Resolve Conflict

itemGurus Understand Business Requirements In Detail

itemDiplomats and Gurus Complement Each Other's Skills

recommendations

itemKeep The Mixture Of Diplomats And Gurus In Balance

WHAT IT MEANS

itemMultidomain Data Warehousing Leads To Stronger External Partnerships

For this report, Forrester spoke with over 25 organizations about business data governance.

Related Research Documents

itemData Warehousing Architectures Must Reflect Business Consensus

July 14, 2006, Best Practices

itemTopic Overview: IT Governance

April 3, 2006, Topic Overview

itemMorphing IT Governance From Function To Process

October 17, 2005, Best Practices

itemUsing An Economic Analysis To Drive Data Warehouse Success

September 15, 2004, Best Practices

Find Documents In Related Categories

This document falls under the following categories. Click on a link below to find similar documents.

Technology: Business Intelligence, Data Warehousing, Information & Knowledge Management
Geography: Asia Pacific, Europe, North America

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