What is OLAP (Online Analytical Processing)?
OLAP is a technology for fast, multidimensional analysis of large volumes of data, enabling users to slice, dice, and drill into measures across dimensions.
Definition
Online Analytical Processing (OLAP) is an approach to organising and querying data that lets users analyse measures, such as revenue or quantity, across multiple dimensions like time, product, region, and customer. Data is often modelled as cubes that pre-aggregate values so that complex analytical queries return quickly. OLAP supports operations such as drilling down into detail, rolling up to summaries, slicing by a dimension, and pivoting. It contrasts with OLTP (online transaction processing), which is optimised for recording many small transactions.
How OLAP Works in ERP
Analytical reporting on ERP data frequently relies on OLAP-style models so managers can examine figures from many angles, for example viewing sales by region, then by product, then by month. These models are usually built in a data warehouse or analytics layer fed from the ERP, keeping heavy multidimensional queries off the transactional system. Some modern ERP platforms blur the line by running analytics directly on in-memory data, reducing the need for separate cubes. OLAP underpins much of traditional business intelligence on enterprise data.
ERP Vendors with Strong OLAP
Frequently Asked Questions
What is the difference between OLAP and OLTP?
OLTP systems, including the core of an ERP, are optimised for recording many small transactions reliably, while OLAP is optimised for fast analytical queries that aggregate and slice large datasets across multiple dimensions.
Are OLAP cubes still necessary?
They remain common, but modern columnar and in-memory databases can perform fast multidimensional analysis on live data, so some architectures reduce or eliminate pre-built cubes in favour of querying detailed data directly.