Data Modeling and Data Architecture; A Required Strategy for Enterprise Information Architecture



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By investing in data architecture and data modeling, enterprises can increase their flexibility, lower the cost of data management projects and benefit from greater data consistency across the business through managing their business-relevant data models more effectively.

Table of Contents

  • Analysis
    • Data Modeling Adds Value When Aligned to Strategic Business Objectives
      • Data Integration Projects
      • Business Intelligence and Performance Management Initiatives
      • Data Quality Improvement Projects
      • Recommendations
    • Working From a Consistent Data Model Across Projects
      • Recommendations
    • Organizing For Metadata Management of Data Models
      • Recommendations
  • Recommended Reading
© 2011 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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