Data Driven Retail Innovation is a practical course for retail business professionals, individual contributors, and leaders who want to use data and AI-enabled tools to guide retail transformation.
Learners explore how modern retailers can move from disconnected legacy systems to integrated, cloud-enabled decision-making. The course introduces key concepts in digital retail transformation, omnichannel customer behavior, customer lifetime value, AI-driven personalization, and retail data strategy.
The course also examines how Microsoft Cloud for Retail, Microsoft Copilot, and Power BI can support connected data, analytics exploration, dashboard interpretation, and data-backed recommendations. Learners consider the privacy, security, ethics, and compliance safeguards required when working with customer and operational data.
In the second part of the course, learners focus on operational analysis and innovation strategy. Topics include inventory telemetry, demand forecasting, consumer trend analysis, friction point diagnosis, ROI metrics, and executive-ready innovation proposals.
By the end of the course, learners will be able to connect customer, operational, compliance, and responsible AI considerations into a practical retail innovation strategy that supports customer experience, business performance, and ethical data use.
