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Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.
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.
It’s also helpful to be able to “slice and dice” income statements by segregating information for different company divisions, product lines, or subsidiaries. Multi-dimensional analysis is sometimes referred to as “OLAP”, which stands for “online analytical processing.”
The former is more professional in report making, presentation, and printing, while the latter can make OLAP and predict analysis thanks to the BI capabilities. FineReport is a java reporting tool designed for enterprises to deal with the demands for various, frequent, and complex reports. Best for: enterprises with BI needs.
Both are paramount to business operations and both are required for an enterprise to function, thrive and compete. Therefore, the real magic happens when OLAP cubes are built or delivered from the data warehouse. OLAP cubes do all the work by dimensionalizing all combinations of slicing and dicing the data ahead of time.
Interactivity can include dropdowns and filters for users to slice and dice data. Traditional BI Platforms Traditional BI platforms are centrally managed, enterprise-class platforms. They can be presented in the context of a single chart or in a collection of visualizations in a dashboard.
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