Published: 27 March 2024
Summary
Objectives and key results, key performance indicators and outcome-driven metrics all serve different purposes, yet are often conflated. Data and analytics leaders should use this research to understand when to use each approach to optimize business outcomes from data, analytics and AI.
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Overview
Key Findings
Clients commonly confuse and misuse objectives and key results (OKRs), key performance indicators (KPIs) and outcome-driven metrics (ODMs). They are different, yet complementary concepts.
Since OKRs, KPIs and ODMs are often conflated, data and analytics (D&A) leaders mistakenly believe they are applying different D&A perspectives to understand business value, instead they are applying the same one.
Organizations that differentiate their application of OKRs, KPIs and ODMs in other technology areas such as digital business and cybersecurity have already seen higher levels of success. These successes present D&A leaders with opportunities to apply lessons learned.
Recommendations
D&A leaders driving strategy, innovation and
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