Executive Development Programme in Data-Driven Sales Decisions

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โ€ข Data-Driven Sales Decisions: Introduction to the concept of data-driven decision making in sales, emphasizing the importance of leveraging data to optimize sales strategies.
โ€ข Data Collection and Analysis: Techniques and tools for collecting and analyzing sales data, including data types, sources, and best practices for extracting insights.
โ€ข Data Visualization: Techniques for visualizing sales data in a clear and effective manner, emphasizing the importance of data visualization in communicating insights and driving action.
โ€ข Predictive Analytics: Introduction to predictive analytics, including regression analysis, machine learning, and other techniques for forecasting sales trends.
โ€ข Sales Performance Metrics: Key performance indicators (KPIs) for measuring sales success, including conversion rates, average deal size, and sales cycle length.
โ€ข Sales Analytics Tools: Overview of popular sales analytics tools, including Salesforce, Hubspot, and Tableau, and best practices for using these tools to drive sales performance.
โ€ข Data Privacy and Security: Importance of data privacy and security in sales data analysis, including best practices for protecting customer data and complying with data protection regulations.
โ€ข Data Ethics: Overview of ethical considerations in data-driven sales decision making, including issues of bias, fairness, and transparency in data analysis.
โ€ข Change Management: Strategies for managing change and driving adoption of data-driven sales strategies within an organization.


Please note that these units are not listed in any particular order and can be adjusted based on the needs and priorities of the organization and target audience.

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EXECUTIVE DEVELOPMENT PROGRAMME IN DATA-DRIVEN SALES DECISIONS
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London School of International Business (LSIB)
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05 May 2025
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