Gartner Research

Selecting Impactful Big Data Use Cases

Published: 30 October 2015

ID: G00280964

Analyst(s): Svetlana Sicular

Summary

Choosing the right use cases that deliver business value is the key for capitalizing on opportunities presented by big data technologies. This research explains big data capabilities and gives big data teams a framework for selecting use cases known to be productively exploited by enterprises.

Table Of Contents

Problem Statement

The Gartner Approach

The Guidance Framework

  • Prework: Appraise Big Data Opportunities
  • Step 1: Choose a Primary Use-Case Category
    • Customer Insights
    • Product and Process Efficiency
    • Digital Products and Services
    • Operational Excellence
    • Digital Marketing
    • Risk Management and Compliance
  • Step 2: Select Specific Use Cases for a Primary Use-Case Category
    • Assess How Big Data Capabilities Enrich Your Digital Business
    • Industry Focus
  • Step 3: Evaluate the Business Impact of the Selected Use Cases
  • Step 4: Estimate Technical Complexity of the Selected Use Cases
    • Level 1: Single Type of Analysis on a Single Big Dataset
    • Level 2: Multiple Types of Analyses on a Single Big Dataset
    • Level 3: Single Type of Analysis on More Than One Big Dataset
    • Level 4: Multiple Types of Analyses on Combined Big Data of Various Types
    • Level 5: Multiple Types of Analyses on Combined Big Data of Various Types Integrated With Transaction Data Under Production SLAs
    • The Example of Estimating Big Data Analytics Complexity of Supply Chain Use Cases
  • Step 5: Develop an Implementation Roadmap for the Use Cases
    • An Implementation Roadmap for the Supply Chain Example
    • Evolve Big Data Use Cases From Tactical to Strategic
    • Evolve Big Data Use Cases From Business Extenders to Game Changers

Risks and Pitfalls

  • Lack of Proactive Data Governance
  • Third-Party Involvement

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