Retail and Marking Analytics
In retail and marketing, data drives every customer experience—from personalized recommendations to inventory optimization. Through partnerships with companies like Sheetz and DICK’S Sporting Goods, RDS@Pitt helps students explore how analytics can be used responsibly to balance business goals with customer privacy and community trust. Learners work with real-world datasets and scenarios that highlight ethical decision-making, transparency in consumer data use, and the importance of designing data systems that serve both people and performance.
Context and Datasets
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News.Civ.009 News.Civ.009
- Retail and Marking Analytics
Pittsburgh’s economy has shifted toward technology and healthcare, but manufacturing remains a critical sector, employing thousands and contributing significantly to regional GDP.
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DSG.Reta.001 DSG.Reta.001
- Retail and Marking Analytics
• The retail industry is undergoing a rapid shift as companies leverage AI and data analytics to optimize store layouts, product placement, and customer experiences. • Lowe’s, a major U.S. home improvement retailer, is using AI, spatial intelligence, and digital twin simulations to redesign store layouts and align inventory with shifting customer trends.
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Sheetz.Reta.001 Sheetz.Reta.001
- Retail and Marking Analytics
In a competitive, data-rich retail landscape, modern analytics empower companies to make rapid, evidence-based decisions for inventory, marketing, and customer engagement.