Big Data Analytics Failures and How to Prevent Them


Archived Published: 07 August 2015 ID: G00272497

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Summary

"Fail fast" is the mantra of the big data community, but information about actual failures is scarce. This research illustrates the causes of failures using real-life examples. It discusses lessons learned and measures to prevent mistakes by technical professionals involved in big data initiatives.

Table of Contents

  • Problem Statement
  • The Gartner Approach
  • The Guidance Framework
    • Strategy
    • Skills
    • Analytics
    • Part 1 โ€” Prevent Big Data Strategy Failures
      • Focus On Delivering Business Value
      • Select the Right Use Cases
      • Overcome Organizational Inertia
    • Part 2 โ€” Prevent Big Data Skills Shortcomings
      • Build a Multidisciplinary Team
      • Address Adjacent Technologies
    • Part 3 โ€” Prevent Big Data Analysis Pitfalls
      • Ask the Right Questions
      • Question Your Data
      • Apply the Right Models
  • Gartner Recommended Reading
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