Walgreens, one of the largest retail pharmacy chains in the world, wanted to leverage its data to optimize supply chain business strategy. But to achieve the use cases that improve supply chain efficiency and reduce inventory costs, it first needed to be able to process 466 billion rows of inventory data and sales data from over 20,000 suppliers and 9,000 stores. Current systems were strained while dealing with the scale and cardinality of the data and couldn’t provide timely insights to thousands of suppliers and business users.
Neerav Jain, Vikas Hardia, and Anne Cruz describe how they used Kyvos and Tableau to transform Walgreens’s supply chain with instant, interactive analysis on two years of historical data instantly and interactively to get deeper insights into their supply chain.
Neerav Jain is a technical architect at Walgreens, where he has implemented campaign personalization for all Walgreens customers using Hadoop as well as end-to-end supply chain scorecards with over 120+ TB of data using Hadoop, Kyvos, and Tableau. A senior architect with 15+ years of experience, he has architected and operationalized Hadoop across multiple healthcare and retail organizations and has worked on multiple enterprise data warehouses, including some of the largest in the healthcare industry.
Anne Cruz is the manager of merchandising and supply chain technology at Walgreens. She’s currently working on Walgreens Retail’s multiyear transformation journey, in which data strategy is pivotal to how business strategy is synthesized with technology. Anne is the IT partner for supply chain analytics that enable the business with capabilities to accelerate business value through changing operating models, simplifying and modernizing architectures, and collaborating with business units and other IT functions to redesign and optimize business processes.
Vikas Hardia is a BI and Hadoop expert at Kyvos, helping the business with data insights on big data platforms.
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