Gartner Research

Organizing for Big Data Through Better Process and Governance

Published: 10 March 2015

ID: G00274498

Analyst(s): Frank Buytendijk , Thomas Oestreich

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
  • Key Challenges

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

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