How to measure BI performance? 20 KPIs that matter

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Performance BI (business intelligence) – analyzing and optimizing business intelligence tools – is a practice enterprise leaders need to take very seriously. Measuring the means of measurement may sound all a bit meta, but the numbers around BI impact tell a different story.

For example, those organizations using business intelligence systems are likely to reach decisions five times faster than those that do not. More than two-thirds of the global workforce (67%) has access to BI tools. Both of these figures underscore why the global BI market is expanding so quickly: from a value of $29.42 billion last year, its value is forecast to be $63.76 billion by 2032.

But here’s the kicker: 70-80% of corporate BI programs are unsuccessful. They fail to return the desired actionable insights, they don’t get business buy-in, or they deliver underwhelming ROI.

As valuable as business intelligence has the potential to be, it’s all too easy to get BI deployments wrong. Performance BI provides business leaders with a toolbox of key performance indicators (KPIs) from which to measure and optimize business intelligence systems. This helps offset these risks, accelerate data-driven decision making and improve BI’s overall business impact.

Read on to discover 20 of the most important KPIs for measuring BI performance, as well as a look at why Process Intelligence is needed to enhance BI’s overall business impact by providing the means to action insights (not just identify them).