How Walmart makes data work for its customers
With 240 million weekly online and in-person customers, the world's largest retailer, Walmart, relies on data to power the best shopping experience for its customers. Read Walmart's story to discover how the world-class SAS MarTech facilitates this massive undertaking.
How does Walmart utilize data for customer experience?
Walmart utilizes data by creating a robust infrastructure that supports its eCommerce business, which generated $12 billion in sales last year. With over 240 million customers shopping weekly, Walmart collects multiterabytes of new data daily, combining it with petabytes of historical data. This data helps Walmart serve customers effectively across various platforms, including online, mobile, and in-store.
What is the role of the Big Fast Data Team?
The Big Fast Data Team at Walmart plays a crucial role by assisting data users—developers, data scientists, and business analysts—in effectively utilizing data. They acquire data, develop and operate data feeds, and implement the necessary infrastructure. This diverse team ensures that hundreds of teams can access anonymized data simultaneously, fostering a culture of 'big data democracy' that enhances decision-making.
What tools and technologies does Walmart use for data management?
Walmart employs a variety of tools from different partners, vendors, and in-house developers to manage its data. This includes an enterprise data warehouse and multiple business intelligence (BI) and analytic tools. By using technologies like Teradata, NoSQL, SAS, and Hadoop, Walmart can hire individuals with diverse skill sets, enabling them to transform data into actionable insights and prototypes efficiently.
How Walmart makes data work for its customers
published by MarcViews Networks Inc.
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