The gaps in how these questions are answered result in wasted time, a lack of belief within the knowledge and widespread confusion. With no universally managed metrics layer, departments can develop into misaligned and measure the identical metric in a different way. In an period of data-driven enterprise decision-making, muddled or inconsistent knowledge can result in damagingly faulty choices.
Fixing these inconsistencies is usually a nightmare. First, it’s a must to discover all of them, scattered throughout all of your knowledge sources, evaluation instruments and customized queries. As they’re reused with out oversight, the inconsistencies develop. Altering the enterprise logic definition for each instrument, each division chief, each time, signifies that knowledge 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 in your metrics each single time in every of these shops? What if the logic modifications because the enterprise grows? That will increase the possibilities of one occasion being barely off or old-fashioned by the point somebody appears to be like at it and comes to a decision,” warns Chris Nguyen, a BI analyst at Keller Williams Realty Worldwide.
