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BI Cubed: Data Lineage on OLAP Anyone?

Octopai

This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. OLAP cube is designed as a solution to pre-compute totals and subtotals when the database server is idle. The OLAP cube makes reading data across multiple dimensions manageable.

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Reporting Analytics vs. Financial Reporting: Is There a Difference?

Jet Global

Multi-dimensional analysis is sometimes referred to as “OLAP”, which stands for “online analytical processing.” Technically speaking, OLAP refers to methodologies for producing multidimensional analysis on high-volume data sets.). That may prompt further investigation and could reveal insights as to the appropriate corrective action.

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

They generally leverage simple statistical and analytical tools, but Power notes that some OLAP systems that allow complex analysis of data may be classified as hybrid DSS systems. It features support for creating and visualizing decision tree–driven customer interaction flows. They emphasize access to and manipulation of a model.

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What is OLAP?

Jedox

In this blog post, we’ll look at the definition of OLAP as well as an overview of the technology. We explain what lies behind OLAP, what cubes have to do with it and what makes the technology so powerful for modern planning, budgeting, and forecasting. Most modern EPM solutions rely on multidimensional OLAP, also called MOLAP.

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Reporting System: Everything You Need to Know

FineReport

The data analysis part is responsible for extracting data from the data warehouse, using the query, OLAP, data mining to analyze data, and forming the data conclusion with data visualization. In the end, in the data presentation level, display data insights in the form of reports and visual charts.

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Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

Jet Global

Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. The challenge with OLAP, however, is that it requires intensive processing power to aggregate data according to various categories or dimensions. Data warehouses have been in widespread use for years.

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A Complete Guide For BI Reporting

FineReport

It is a part of BI features that allow you to extract and dynamically display data in the form of different types of visualizations such as charts and tables, so users can transform data into useful information and discover insights. . Finally, the data visualization types in Excel are very few compared to bi reporting tools.