Remove Management Remove Online Analytical Processing Remove Slice and Dice
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Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Solution overview Online Analytical Processing (OLAP) is an effective tool for today’s data and business analysts.

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

Jet Global

It’s also helpful to be able to “slice and dice” income statements by segregating information for different company divisions, product lines, or subsidiaries. As a matter of necessity, finance teams also produce financial statements for internal use by a company’s management team. What About Financial Analytics?

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How OLAP and AI can enable better business

IBM Big Data Hub

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. Slice-and-dice analysis : OLAP allows users to slice and dice data along various dimensions, isolating specific segments for in-depth analysis.

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