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Career Advancement Programme in Customer Service Analytics Applications
-- ViewingNowThe Career Advancement Programme in Customer Service Analytics Applications certificate course is a comprehensive program designed to equip learners with essential skills for career advancement in the customer service industry. This course is crucial in today's data-driven world, where businesses rely heavily on customer service analytics to make informed decisions and improve customer experiences.
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The course covers various topics, including data analysis, customer service metrics, and communication skills. Learners will gain hands-on experience with industry-leading tools and technologies, preparing them for real-world applications. With the growing demand for customer service analysts, this course provides learners with a competitive edge, enabling them to excel in their careers and contribute to the success of their organizations.
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- Introduction to Customer Service Analytics: Understanding the role of data analysis in customer service, data sources, and common metrics.
- Data Collection and Analysis Techniques: Techniques for gathering and analyzing customer service data, including surveys, interviews, and data mining.
- Customer Service Metrics and KPIs: Defining and measuring key performance indicators (KPIs) in customer service, such as customer satisfaction, first response time, and resolution rate.
- Customer Segmentation and Profiling: Techniques for segmenting and profiling customers based on demographics, behavior, and preferences, and using this information to inform customer service strategies.
- Text Analytics and Natural Language Processing: Understanding and applying text analytics and natural language processing techniques to analyze customer feedback and support interactions.
- Predictive Analytics in Customer Service: Using predictive analytics to anticipate customer needs, identify potential issues, and personalize the customer experience.
- Customer Service Analytics Tools and Software: Overview of popular customer service analytics tools and software, including Tableau, Power BI, and Google Analytics.
- Data Visualization and Reporting: Techniques for effectively communicating insights from customer service analytics through data visualization and reporting.
- Ethics and Data Privacy in Customer Service Analytics: Understanding the ethical considerations and data privacy regulations related to customer service analytics.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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£149
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- ThreeFourHoursPerWeek
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£99
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- TwoThreeHoursPerWeek
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CAREER ADVANCEMENT PROGRAMME IN CUSTOMER SERVICE ANALYTICS APPLICATIONS
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London School of Planning and Management (LSPM)
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05 May 2025
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