Organizing for Big Data Through Better Process and Governance


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

Analyst(s): |

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Summary

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
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