A leading global retail chain faced delays of up to five to six weeks in accessing store performance analytics needed for executive decision-making. This was caused by a fragmented data environment lacking a centralized repository for analytics and reporting, as well as the absence of standardized metadata and a clear taxonomy. Employees struggled to locate critical metrics or understand existing data, limiting their ability to generate timely and accurate insights. These inefficiencies hindered responsiveness in a fast-paced retail landscape, reduced productivity across data and analytics teams, and made it difficult for leadership to make informed, data-driven decisions.

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