Postgraduate Certificate in Predictive Dialers and Contact Centre Efficiency
-- ViewingNowThe Postgraduate Certificate in Predictive Dialers and Contact Centre Efficiency is a comprehensive course designed to enhance the skills of professionals in the customer service industry. This course emphasizes the importance of predictive dialers and contact center efficiency in improving customer experience and increasing profits.
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GBP £ 140
GBP £ 202
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โข Predictive Dialer Fundamentals: Understanding predictive dialing, its benefits, and limitations. Overview of contact center operations and efficiency metrics.
โข Predictive Dialer Algorithms: Study of various predictive dialing algorithms, probability theory, and traffic modeling.
โข Contact Center Efficiency Metrics: Examination of key performance indicators (KPIs) in contact centers, including average speed of answer, service level, abandon rate, and occupancy rate.
โข Data Analysis for Predictive Dialers: Utilizing data analytics tools and techniques for predictive dialer optimization.
โข Predictive Dialer Implementation: Best practices for deploying predictive dialers, including system configuration, agent training, and ongoing management.
โข Legal and Ethical Considerations: Understanding legal and ethical considerations in predictive dialing, such as the Telephone Consumer Protection Act (TCPA) and the Do Not Call (DNC) registry.
โข Predictive Dialer Integration: Integrating predictive dialers with customer relationship management (CRM) systems, workforce management (WFM) tools, and other contact center technologies.
โข Predictive Dialer Performance Optimization: Techniques for optimizing predictive dialer performance, including agent performance tracking, call scripting, and real-time analytics.
โข Predictive Dialer Software Selection: Criteria for selecting predictive dialer software, including features, pricing, and vendor reputation.
โข Predictive Dialer Future Trends: Exploring the latest trends and innovations in predictive dialing, such as artificial intelligence (AI), machine learning (ML), and natural language processing (NLP).
Note: This is a suggested list and the actual curriculum may vary based on the educational institution offering the course.
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