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How OLAP and AI can enable better business

IBM Big Data Hub

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

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How Newcomp Analytics partners with IBM to advance clients’ supply chain insights

IBM Big Data Hub

Left to their own devices, they had resorted to using legacy reporting tools such as Excel that required manual gathering, slicing and dicing of data. Consequently, this data was siloed, unshareable, hard to use, lacked quality and governance controls, and could not be used in automated processes.

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Improve User Adoption of BI Tools with Embedded BI!

Smarten

They can use the data within those familiar solutions to gather and analyze data without manually exporting data or dealing with time-consuming delays and overburdened IT teams. Find out how Smarten Embedded BI And Integration APIs can ensure user adoption and improve business user analytics and results.

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How Product Analytics Differs From Embedded Analytics and Why You Need Both

Jet Global

To keep up with the demands that digital innovations place upon product markets, businesses are increasingly incorporating analytics into their products. By making data-driven decisions like this, product managers can optimize the user experience and ultimately drive greater success for their product.

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What Is Embedded Analytics?

Jet Global

In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future. Reports A tabular display of data, often with numerical figures grouped in categories.