Open Data Is Coming to the Enterprise

Archived Published: 24 January 2014 ID: G00258726


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The expanding open data movement is a sign of growing data commoditization. Data will be dramatically more available inside and outside the enterprise. The challenge to enterprise IT will be to plan and architect for open data systems and applications.

Table of Contents

  • Summary of Findings
  • Analysis
    • The Importance of Open Data to Producers and Consumers
    • What Is Open Data?
      • What Is the Definition of Open Data?
      • What Is the Difference Between Open and Publicly Available Data?
      • What Does the History of Open Data Tell Us?
      • Data Commoditization
    • Why Should Organizations Care About Open Data?
      • Open Data Drivers
      • The Benefits of Open Data
      • Open Data Inhibitors
    • Where Is Open Data?
      • Where to Start?
      • When the Data Is Open, Where Do You Find It?
    • How Do You Take Advantage of Open Data?
      • Enterprise Information Management
      • Information Governance
      • Culture
    • Strengths
    • Weaknesses
  • Recommendations
    • Recommendations to Producers of Open Data
      • Decide What Openness Means to Your Organization
      • Open Your Data for a Purpose
      • Put Information Governance in the Center of Your Open Data Initiative
      • Develop an Open Data Strategy as Part of EIM
    • Recommendations to Consumers of Open Data
      • Understand the Spectrum of Accessible Data
      • Evaluate Opportunities That Arise From Open Data
      • Establish or Adjust Information Governance
      • Develop Your Open Data Strategy as Part of EIM
  • The Details
    • Sources of Open Data
    • Open Data Search
    • Platforms
    • Standards
  • Gartner Recommended Reading
  • Notes
© 2014 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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