Key Performance Indicators (KPI) are financial and non-financial metrics used to help an organization define and measure progress toward organizational goals. KPIs are used in Business Intelligence to assess the present state of the business and to prescribe a course of action. The act of monitoring KPIs in real-time is known as business activity monitoring. KPIs are frequently used to "value" difficult to measure activities such as the benefits of leadership development, engagement, service, and satisfaction. KPIs are typically tied to an organisation's strategy (as exemplified through techniques such as the Balanced Scorecard).

The KPIs differ depending on the nature of the organization and the organization's strategy. They help an organisation to measure progress towards their organizational goals, especially toward difficult to quantify knowledge-based processes.

A KPI is a key part of a measurable objective, which is made up of a direction, KPI, benchmark, target and time frame. For example: "Increase Average Revenue per Customer from £10 to £15 by EOY 2008". In this case, 'Average Revenue Per Customer' is the KPI.

Business intelligence often uses key performance indicators (KPIs) to assess the present state of business and to prescribe a course of action. Examples of KPIs are things such as lead conversion rate (in sales) and inventory turnover (in inventory management). Prior to the widespread adoption of computer and web applications, when information had to be manually inputted and calculated, performance data was often not available for weeks or months. Recently, banks have tried to make data available at shorter intervals and have reduced delays. The KPI methodology was further expanded with the Chief Performance Officer methodology which incorporated KPIs and root cause analysis into a single methodology.

Businesses that face higher operational/credit risk loading, such as credit card companies and "wealth management" services, often make KPI-related data available weekly. In some cases, companies may even offer a daily analysis of data. This fast pace requires analysts to use IT systems to process this large volume of data.