Organizing for Big Data Through Better Process and Governance

Foundational Refreshed: 07 July 2016 | Published: 10 March 2015 ID: G00274498

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With big data past the Peak of Inflated Expectations on the Hype Cycle, organizations are addressing next-level challenges and asking, "How do we organize for big data?" Here, we advise analytics and information leaders to move from conducting experiments to planning for production.

Table of Contents

  • Introduction
  • Analysis
    • Think of Organizing for Big Data as Creating the Right Process, Before You Think of It as a Department
      • Step 1: Collect Ideas
      • Step 2: Conduct Experiments
      • Step 3: Diligence and Validation
      • Step 4: Implement the Solution
    • Treat Big Data Exploration as a Separate Capability, Starting It in a Separate Team
    • Build a Data Scientist Skill Set Comprising Quantitative, Technical and Business Skills
    • Fund Big Data Initiatives as Innovation Costs, and Not Only by Business Case
    • Apply Agile Information Governance
      • Professional
      • Process
      • Technical
  • Gartner Recommended Reading
© 2015 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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