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I am new to Celonis. I have this dilemma on ‘Why do tables exists when we have OLAP tables’.

What is the purpose of two of them existing?

I know tables are present only in views while OLAP tables in analysis.

What are all the differences or things we can do with tables and OLAP tables seperately?

 

In Celonis, Tables and OLAP Tables exist to serve different use cases, even though both are used for data visualization. The key difference lies in their functionality, purpose, and where they are used.

Key Differences Between Tables and OLAP Tables:

Feature Tables (in Views) OLAP Tables (in Analysis)
Purpose Operational monitoring with real-time insights Deep analysis and process mining
Customization Limited formatting and filtering Highly customizable with PQL, aggregations, and advanced calculations
Aggregation Pre-aggregated metrics (simplified) Allows dynamic aggregation with OLAP cube logic
Interactivity Basic filtering and selection Drill-down, pivoting, slicing & dicing of data
Data Source Pre-defined datasets Uses the OLAP cube for multidimensional analysis
Performance Optimized for quick operational insights

Optimized for detailed exploration of large datasets

 

Why Both Exist?

  • Tables in Views → Simplified tables for end-users who need quick, structured insights without complex configurations.
  • OLAP Tables in Analysis → Advanced tables that allow in-depth process exploration, flexible calculations, and ad-hoc analysis.


    Think of OLAP Tables as a Swiss Army knife that lets you analyze data in any way you want, while Tables in Views are more like a pre-made report that just gives you what you need at a glance.😅😅

Thank you so much for clarifying this concept.


@aadil.maqbo11 Can you help me with PQL please. I need help for a few questions.


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