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 Made in Pittsburgh
- 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 Retail Data Analytics: DSG CX Personlization
- 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 Retail Data Analytics: Sheetz keeping items in stock
- 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.
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Retail.PGH.001 Employment and Wages
- Retail and Marking Analytics
The Bureau of Labor Statistics runs the Quarterly Census of Employment and Wages program, which collects and publishes statistics on the number of jobs, average weekly wages, and total wages aggregated by granular industry type, U.S. county, category of owner, and size of business by employee headcount. ((Some options for the narrative: Which industries are seeing a pattern of sustained growth in number of employees and average wages over the last five years? For those in the industry, this analysis could help them keep salaries competitive in the interest of employee retention. For those in local government, these trends could help them decide which industries to bring to their area to boost employment. Picking a given industry and looking at where the growth is strongest could help a job seeker decide where to move to.))