Business Intelligence KPIs: Definitions, Formulas and Examples
Business intelligence KPIs turn company activity into measures teams can use to understand performance and make decisions. This library explains what each metric means, how its formula works, and how to calculate and interpret it responsibly.
Browse all eight business areas, then use the subgroup sections to compare related KPIs without losing the operational context behind each formula.
Find the metric behind the question.
Each completed page includes a definition, formula components, calculation steps, a fictional worked example, interpretation guidance, and related KPIs.
Customers & Products
Customer health, recurring revenue, satisfaction, retention, and product usage metrics.
Explore KPIsFinance & Accounting
Financial performance, cash flow, profitability, and accounting metrics.
Explore KPIsSales
Pipeline, conversion, productivity, revenue, and customer relationship metrics.
Explore KPIsDigital Marketing
Paid media, email, organic social, and organic search performance metrics.
Explore KPIsProduct Development
Delivery speed, quality, innovation, resource, and development cost metrics.
Explore KPIsHR Analytics
Recruitment, retention, engagement, development, and people operations metrics.
Explore KPIsProject Management
Delivery, schedule, budget, cost, productivity, and project team metrics.
Explore KPIsSupply Chain
Procurement, inventory, logistics, production, and fulfilment metrics.
Explore KPIsStart with a decision, not a dashboard.
Choose the business question first, confirm the population and period, then document the formula. A clear metric definition helps finance, product, sales, and operations teams read the same number in the same way.
One KPI rarely tells the whole story
Use the related-KPI links to pair outcomes with their drivers—for example, customer value with acquisition cost, retention, churn, and revenue per user.
Browse Customers & ProductsTurn metric definitions into answers your team can use.
Vizma helps teams understand and track business metrics using their data. Bring the metrics your team already tracks and the business questions that still take too long to answer.