(Length: 14 pages)

July 14, 2006

Data Warehousing Architectures Must Reflect Business Consensus

The Nature Of Information Must Command Decisions Over Physical Architectures

by J. Paul Kirby

with Keith Gile, Connie Moore, Lucy Fossner


Executive Summary (This is a document excerpt)

Data warehousing architects have several popular architectures to choose from. The choice of architecture guides how many database instances they will have and how the instances should be connected. Missing, however, is a framework for deciding what types of information should be put in those database instances. A Consensus-Based Modeling Architecture (CMA) organizes information based on whether an organization has reached consensus that the information is universally applicable. This promotes a single version of the truth — but only where it is warranted. CMA acknowledges legitimate differences between definitions, and it protects different business interests from each other. The end result: quicker compliance with business requirements and long-term architectural coherence.

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TABLE OF CONTENTS

NOTES & RESOURCES

itemDon't Let Data Warehousing Terminology Distract From The Real Problem

itemThe Single Version Of The Truth Requires An Understanding Of The Role Of Information

itemA Consensus-Based Modeling Architecture Is The Answer

itemFour Service Levels Define CMA's Isolation

itemFour Directives Enforce CMA's Isolation

itemCentralized Instance Architectures Are Preferable To Distributed Ones

recommendations

itemTransition To A Consensus-Based Modeling Architecture At Your Own Pace

WHAT IT MEANS

itemIsolating Consensus From Differences Leads To A Single Version Of The Truth

Many Forrester discussions with clients and technology vendors formed the basis for this report, including client inquiries and consulting engagements. The topics focused on both physical architectures as well as their alignment with business requirements.

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itemUsing An Economic Analysis To Drive Data Warehouse Success

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itemData Warehousing Architecture Alternatives

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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, Marketing & Advertising, Marketing Automation
Geography: Asia Pacific, Europe, North America

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