Analyzing and Visualizing BI Data: Can AI Break Through the Clutter?
“A picture is worth a thousand words” is an oft-repeated cliché, but organizations worldwide rely on visuals and other interactive elements to build a narrative around their data. These include reporting business intelligence (BI) solutions and dashboards. However, at times, this overwhelming number of dashboards filled with incomplete information fail to generate insights, trends, or patterns — the veritable “why” behind the data.
The utility of BI dashboards spans multiple sectors — finance, customer services, marketing, management, sales, and procurement, to name a few. However, despite their utility, the adoption rates have stagnated persistently and now stand at a mere 30%, with only 10% of the executives believing that their company is analytically mature. To overcome these shortcomings, organizations aim to develop self-supporting platforms with twofold purposes — real-time analysis onthe-go and delivering actionable insights to enhance decision-making.
Organizations need to introduce artificial intelligence (AI) to the BI solution framework to ensure that the needs of a self-supporting platform are met. With AI in the picture, organizations can streamline their operations, increase efficiency, improve accuracy, and predict market trends. This article will focus on how AI assists organizations in transforming the process of analyzing and visualizing BI data — from traditional dashboards to intuitive decision boards.
The Utility of AI in Business Intelligence
This story is from the June,2023 edition of PCQuest.
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This story is from the June,2023 edition of PCQuest.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
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