Executive Development Programme in Data-Driven Service Pricing Decisions
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⢠Data-Driven Decision Making: Understanding the importance of data-driven decisions in service pricing and the role of data analysis in executive decision-making. ⢠Service Pricing Strategies: Exploring various pricing strategies for data-driven service pricing decisions, including value-based pricing, cost-plus pricing, and competition-based pricing. ⢠Data Collection and Analysis: Learning the techniques and tools for collecting and analyzing data for service pricing decisions, including data visualization and statistical analysis. ⢠Predictive Analytics and Machine Learning: Understanding the role of predictive analytics and machine learning in data-driven service pricing decisions, including regression analysis, decision trees, and neural networks. ⢠Customer Segmentation and Targeting: Analyzing customer data to segment markets and target specific customer segments for service pricing decisions. ⢠Pricing Psychology and Behavioral Economics: Exploring the psychological and behavioral factors that influence customer decision-making in service pricing and how to use these insights to optimize pricing decisions. ⢠Pricing Communication and Negotiation: Developing effective communication and negotiation strategies for service pricing decisions, including how to communicate value to customers and negotiate win-win pricing agreements. ⢠Data Privacy and Security: Ensuring data privacy and security in data-driven service pricing decisions, including compliance with data protection regulations and best practices for protecting customer data. ⢠Performance Metrics and Evaluation: Evaluating the effectiveness of data-driven service pricing decisions using performance metrics and key performance indicators (KPIs), including return on investment (ROI), customer lifetime value (CLV), and profitability analysis.
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