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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. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

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Business Intelligence vs. Reporting: Finding Your Bread and Butter

Jet Global

However, reporting this way is not only necessary, but it is also optimal for many financial and operational tasks – where you need to see what is happening right at this moment and dive into individual, detailed transactions that compose the numbers the report reveals.

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Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

The two main approaches organizations employ to increase revenue are to expand geographically to enter new markets and to increase market share within a market by improving customer experience (CX). Improving CX is a well-known guideline to attract and retain customers and thereby increase the market share.

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What Is Embedded Analytics?

Jet Global

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?