Executive Development Programme in Analytics for Enhanced Customer Satisfaction
-- ViewingNowThe Executive Development Programme in Analytics for Enhanced Customer Satisfaction is a comprehensive certificate course designed to empower professionals with the necessary skills to drive customer satisfaction through data-driven decision making. In an era where businesses prioritize customer experience, this program is crucial for industry growth and success.
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⢠Executive Overview of Analytics for Customer Satisfaction: This unit will cover the importance of data-driven decision making in improving customer satisfaction and loyalty. It will provide an understanding of the primary and secondary keywords to be used throughout the course.
⢠Data Analysis Tools and Techniques: This unit will introduce participants to various data analysis tools and techniques, including data mining, statistical analysis, and predictive modeling.
⢠Customer Segmentation and Profiling: This unit will cover the importance of customer segmentation and profiling in developing targeted marketing strategies that enhance customer satisfaction.
⢠Voice of the Customer (VoC) Analytics: This unit will focus on the use of VoC analytics to gather and analyze customer feedback, identify pain points, and improve the overall customer experience.
⢠Customer Lifetime Value (CLV) Analysis: This unit will cover the concept of CLV and its importance in developing customer-centric strategies. Participants will learn how to calculate CLV and use it to inform decision making.
⢠Predictive Analytics for Customer Satisfaction: This unit will focus on the use of predictive analytics to forecast customer behavior, identify potential issues, and proactively address them.
⢠Data Visualization for Customer Insights: This unit will cover the importance of data visualization in communicating complex data insights to stakeholders. Participants will learn how to create effective visualizations that tell a story and drive action.
⢠Ethics and Privacy in Customer Analytics: This unit will cover the ethical and privacy considerations associated with customer analytics, including data security, the use of personal data, and transparency.
⢠Implementing a Data-Driven Culture: This unit will cover the challenges and best practices associated with implementing a data-driven culture within an organization. Participants will learn how to overcome resistance and drive adoption of data-driven decision making.
(Note: The above list of units is not strictly limited to 5-10, but rather a suggested range to ensure comprehensiveness while avoiding excessive length. Each unit is separated by
tags for easy readability.)
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| Role | Average Salary (ÂŁ) |
|---|---|
| Data Analyst | 35,000 |
| Business Intelligence Analyst | 40,000 |
| Data Scientist | 50,000 |
| Machine Learning Engineer |
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EXECUTIVE DEVELOPMENT PROGRAMME IN ANALYTICS FOR ENHANCED CUSTOMER SATISFACTION
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UK School of Management (UKSM)
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05 May 2025
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