Gartner Research

Big Data Analytics Failures and How to Prevent Them

Published: 07 August 2015

ID: G00272497

Analyst(s): Svetlana Sicular

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 — Prevent Big Data Strategy Failures
    • Focus On Delivering Business Value
    • Select the Right Use Cases
    • Overcome Organizational Inertia
  • Part 2 — Prevent Big Data Skills Shortcomings
    • Build a Multidisciplinary Team
    • Address Adjacent Technologies
  • Part 3 — Prevent Big Data Analysis Pitfalls
    • Ask the Right Questions
    • Question Your Data
    • Apply the Right Models

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