Online Analytical Processing (OLAP)
Definition
OLAP enables multidimensional analyses of large historical data sets.
Techniques for fast, multidimensional analyses of large, historical data sets.
Simply explained
The same sales can be viewed differently, for example by months, regions, and product groups.
Why it matters in practice
OLAP enables the analysis of historical data from multiple perspectives, such as sales by time period, region, and product group.
Example from business
Sales are sliced and aggregated by time period, region, product group, and channel.
Limits and pitfalls
- Confusing OLAP with transactional processing or failing to centralize metric definitions.
Origin & history
OLAP was formalized in the 1990s for management and decision support.
Use in mid-sized companies
- Possible application: Sales are sliced and aggregated by time period, region, product group, and channel.
Frequently asked questions
What does Online Analytical Processing mean?
Techniques for fast, multidimensional analyses of large, historical data sets.
Which mistakes should be avoided?
Confusing OLAP with transactional processing or failing to centralize metric definitions.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: