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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

Lindt now has a team of 10, including a business intelligence (BI) manager and BI developer analysts. 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. Advancing clients’ strategic data analytics capabilities.

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Improve User Adoption of BI Tools with Embedded BI!

Smarten

When a business plans to launch an augmented analytics or business intelligence solution, it must carefully plan for user adoption – especially if the launch of this solution is part of a larger strategy for self-serve business user analytics and the Citizen Data Scientist approach to data use across the enterprise.

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What is the Business Intelligence Cycle?

Jet Global

As business analytics tools become more powerful and affordable than ever before, more and more business leaders are building upon their existing technology toolsets to add true business intelligence (BI) to their organization’s capabilities. These four stages are the “business intelligence cycle.”

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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. To get there, companies are utilizing business intelligence tools to analyze important data and gain valuable insights to inform their decision-making process.

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What Is Embedded Analytics?

Jet Global

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.