Executive Development Programme in Retail Data Management Solutions Mastery

• Retail Data Foundations: Understanding the basics of data management, types of retail data, and data sources. • Data Collection Techniques: Exploring various methods for gathering and organizing retail data, including POS systems, customer surveys, and online tracking tools. • Data Analysis for Retail: Learning how to analyze retail data to uncover trends, patterns, and insights, with a focus on key performance indicators (KPIs) and data visualization. • Retail Data Privacy and Security: Understanding the legal and ethical considerations surrounding retail data, including data protection and privacy regulations, and best practices for securing retail data. • Data-Driven Decision Making: Applying data analysis techniques to inform strategic business decisions, including inventory management, pricing, and marketing strategies. • Machine Learning and AI in Retail: Exploring the role of machine learning and artificial intelligence in retail data management, including predictive analytics and automated decision-making. • Retail Data Integration: Learning how to integrate data from multiple sources and systems, and ensuring data consistency and accuracy. • Data Storytelling in Retail: Communicating data insights effectively to stakeholders, including how to create compelling narratives and presentations that drive action.