Covering Disruptive Technology Powering Business in The Digital Age

This article was originally published by itbusinessedge.com and can be viewed in full here

Business intelligence (BI) applications have been around for a long time, and they’ve changed the way organizations process and analyze information. Business users tap directly into unprecedented amounts of data and quickly get reports, dashboards and visualizations – but many struggle to garner the specific results needed to make better decisions. For instance, business users are still required to ask questions and slice-and-dice data to “fish” for the answers and insights necessary to run their organization. The complexity and overwhelming volume of Big Data has many organizations wondering what questions they should be asking. Further still, business intelligence systems often produce so much analysis and raw data that it’s difficult to identify the insights that will make an actual impact.

Automation with artificial intelligence solves these problems. Artificial intelligence can automate benchmarking questions to find the answers in the data. Since all data can be reported anonymously and automatically, the benchmarking analysis remains in accordance with the privacy policies of its customers.

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