Business Intelligence

Process Improvement by 10 Hours in Replenishment Forecast for a Retail Giant

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Executive Summary

A UK-based retailing giant had a diversified portfolio that included food & drink, clothing, consumer electronics, financial services, telecoms, home, music downloads, internet services, and software. This retail company undertook a massive initiative to re-platform its online sales application for the wine and grocery businesses. For both the businesses, the retail company planned to develop a Business Intelligence (BI) solution. The idea was to shift from and integrate data from the new platform and multiple legacy data sources to an integrated Martini Operational Data Store (ODS). One of the primary reasons that the company wanted to create this solution was to build information infrastructure that is able to provide analytical and reporting capabilities. It included setting up of the BI system grounds-up for the wine business with a re-design of the BI solution for the grocery business. The company faced problems with their existing information management system and BI system. These included the lack of a centralized data store for various reporting needs, delays in information delivery, and inconsistencies and anomalies in reporting. The retailer came together with Mahindra Satyam to manage their suggested solution where the primary challenge was to completely own the partial life cycle projects and ensure successful completion. Another problem was managing the BI component of the supply chain function while addressing problems that arose due to time consuming or tedious replenishment processes.

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