Executive Development Programme in Retail Data for Strategic Planning
-- ViewingNowThe Executive Development Programme in Retail Data for Strategic Planning is a certificate course designed to empower professionals with essential data analysis skills for retail decision-making. This programme is crucial in today's data-driven world, where businesses rely heavily on data for strategic planning and growth.
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โข Retail Data Analysis for Strategic Planning: An overview of the importance of data analysis in retail strategic planning, including primary and secondary data sources, data cleaning, and data validation.
โข Data Visualization Techniques: The use of data visualization in retail decision-making, including chart types, visual best practices, and dashboard design.
โข Customer Segmentation and Profiling: An exploration of customer segmentation techniques and their application in retail, including customer profiling, behavioral data analysis, and market basket analysis.
โข Demand Forecasting: The use of historical sales data to predict future demand, including time series analysis, regression analysis, and machine learning techniques.
โข Inventory Management and Optimization: Best practices for inventory management, including demand forecasting, safety stock calculations, and order quantity optimization.
โข Pricing Strategies and Analytics: An overview of various pricing strategies and their impact on revenue, including price elasticity, markdown optimization, and dynamic pricing.
โข Supply Chain Management and Analytics: An exploration of supply chain management best practices, including supplier relationship management, logistics optimization, and demand forecasting.
โข Retail Analytics Tools and Technologies: An overview of various retail analytics tools and technologies, including business intelligence software, data warehousing solutions, and machine learning platforms.
โข Ethics and Data Privacy in Retail Analytics: An exploration of ethical considerations in retail analytics, including data privacy regulations, data security best practices, and ethical data collection methods.
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