Gartner Research

Design Analytics Programs to Overcome Common Performance Measurement Pitfalls

Published: 20 November 2017

ID: G00344092

Analyst(s): Kurt Schlegel , Thomas Oestreich, James Richardson

Summary

To improve organizational performance, data and analytics leaders need to be aware of the common pitfalls that beleaguer most performance measurement programs. They should focus their organization's analytics capabilities on bolstering performance and showing tangible success in every domain.

Table Of Contents
  • Key Challenges
  • Measure
  • Classify
  • Decide

Analysis

  • Focus Performance Measures on Three Key Areas of Business Value: Resource Allocation, Microsegmentation and Comparative Benchmarking
    • Resource Allocation
    • Microsegmentation
    • Comparative Benchmarking
  • Use Common Self-Service Analytics Methods Such as "Prototype First," Experimental Design, and Cross-Functional Teams
  • Let the People Who Are Going to Be Evaluated Have a Say in How Metrics Are Calculated
  • Conclusion

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