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Solution overview Online Analytical Processing (OLAP) is an effective tool for today’s data and business analysts. An analyst can use OLAP aggregations to analyze buying patterns by grouping customers by demographic, geographic, and psychographic data, and then summarizing the data to look for trends.
Alone, the optimized environment data warehouse is a valuable asset to any BI initiative; however, the data is still two-dimensional (table/field format) and does not contain any calculated measures or KPIs. Therefore, the real magic happens when OLAP cubes are built or delivered from the data warehouse.
Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. Interactivity can include dropdowns and filters for users to slice and dice data. How to measure the value. Cons It is not clear how to measure the revenue impact of the analytics offering.
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