Gartner Research

A Framework for Evaluating Big Data Initiatives

Published: 22 January 2013

ID: G00246250

Analyst(s): Svetlana Sicular

Summary

Companies worry they are behind their peers in adopting big data technologies. Interest in big data initiatives grows as fast as the big data hype. Organizations have no shortage of ideas, but knowing which to pursue is difficult. This guidance gives a framework for evaluating big data initiatives.

Table Of Contents

Summary of Findings

Guidance Context

  • Problem Statement
  • Guidance Applicability
  • Related Guidance
  • Gartner Definitions

The Gartner Approach

The Guidance Framework

  • The Evaluation Steps
  • Types of a Big Data Initiative
  • Big Data Adoption Scenarios
  • Prework: Get Educated About Big Data Initiatives
    • The State of Big Data Initiatives
    • Success Factors
    • Big Data Technology Issues
    • Organizational Barriers to Success
  • Step 1: Business Relevance Filter
    • Identify Relevant Use Cases for the Big Data Initiative
    • Determine a Type of a Business Initiative
    • Typical Business Drivers for a Big Data Initiative
  • Step 2: Technology Filter
    • Technology-Filtering Process
    • Typical Technology Drivers for a Big Data Initiative
  • Step 3: Economic Viability Filter
    • Economic Viability Evaluation
    • Big Data Justification Process
  • Step 4: Proof-of-Concept Filter
    • Proof of Business Value
    • Proof of Technology
    • A POC Approach
  • Follow-Up

Risks and Pitfalls

Notes

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