Data in retail
retail data: POS and inventory data, loyalty and clienteling, demand and assortment planning, and pricing.
Retail and distribution runs on data generated at every touchpoint: POS transactions, loyalty programs, inventory scans, e-commerce clickstreams, and supply chain feeds. This block builds fluency in the data structures unique to the sector, from SKU-level hierarchies to omnichannel customer identifiers, and shows how data quality directly affects forecasting, replenishment, and personalization outcomes. You will examine the core datasets retailers depend on, the metrics used to judge data reliability and analytics performance, and the governance frameworks required to handle consumer and transactional data responsibly. The focus stays strictly on data infrastructure, quality, and compliance rather than financial performance, equipping you to evaluate and improve the data foundations that drive retail decision-making across merchandising, supply chain, and customer engagement functions.
Ce que vous allez maîtriser
- Map the core retail data sources (POS, inventory, loyalty, e-commerce, supplier feeds) and their structure and update frequency
- Assess data quality using sector-specific metrics like SKU match rates, stockout data accuracy, and customer identity resolution rates
- Apply data governance frameworks to manage consumer privacy, loyalty data, and cross-channel identity under regulations like GDPR and CCPA
- Design and run practical data audits to detect master data errors, duplicate customer records, and inventory data discrepancies