An Eight-Question Decision Framework for Buying, Building and Outsourcing Data Science Solutions

Archived Published: 21 January 2014 ID: G00258056

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Data science is about problem solving. Eight key questions will help IT leaders decide whether to build, buy or outsource such solutions. Choosing the right solution path will help them to avoid project failures and lost opportunities.

Table of Contents

  • Introduction
  • Analysis
    • 1. Is There a Packaged Application Available That Exactly Solves the Analytical Problem at Hand?
    • 2. Is There a Packaged Application Available That Meets Many — Though Not all — Of Your Performance Requirements?
    • 3. Is There a Packaged Application Available That Meets all Performance Criteria, but Is Difficult to Implement Because Your Business Process Technology Stack Is too Exotic or Idiosyncratic?
    • 4. Is Analytics a Critical Differentiator for Your Business?
    • 5. Is Your Analytics Application Scenario Truly as Unique Within the Industry as You Believe It to Be?
    • 6. Are You Part of an Industry in Which New Kinds of Data Have Become Available, or an Entire New Business Process Has Become Amenable to Advanced Analytics?
    • 7. Are You in a Domain That Requires Agility?
    • 8. Do You Have Access to Data Scientists?
  • Gartner Recommended Reading
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