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The gaps in how these questions are answered result in wasted time, a lack of belief within the information and widespread confusion. And not using a universally managed metrics layer, departments can turn into misaligned and measure the identical metric otherwise. In an period of data-driven enterprise decision-making, muddled or inconsistent information can result in damagingly faulty choices.
Fixing these inconsistencies generally is a nightmare. First, it’s important to discover all of them, scattered throughout all of your information sources, evaluation instruments and customized queries. As they’re reused with out oversight, the inconsistencies develop. Altering the enterprise logic definition for each software, each division chief, each time, signifies that information groups waste time firefighting as a substitute of engaged on duties that ship worth.
“Your group has a number of dashboards. It might have a number of BI instruments, too. Do you actually wish to outline the enterprise logic to your metrics each single time in every of these retailers? What if the logic adjustments because the enterprise grows? That will increase the possibilities of one occasion being barely off or outdated by the point somebody appears at it and decides,” warns Chris Nguyen, a BI analyst at Keller Williams Realty Worldwide.