Advanced Certificate in Customer Support Analytics: Future-Ready
-- ViewingNowThe Advanced Certificate in Customer Support Analytics is a future-ready certificate course that emphasizes the importance of data-driven decision-making in customer support. This course addresses the rising industry demand for support professionals who can leverage analytics to improve customer experiences and drive business growth.
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โข Advanced Metrics for Customer Support Analytics: Delve into the world of advanced metrics such as Customer Effort Score (CES), Net Promoter Score (NPS), and Customer Satisfaction (CSAT) to measure customer loyalty and satisfaction.
โข Predictive Analytics in Customer Support: Learn how to use statistical models and machine learning algorithms to predict future customer behavior and improve customer support.
โข Big Data Analytics for Customer Support: Discover how to handle and analyze large datasets to gain insights into customer behavior and improve support strategies.
โข Text Analytics and Natural Language Processing (NLP): Master the art of analyzing customer feedback, reviews, and support tickets using NLP techniques such as sentiment analysis and topic modeling.
โข Customer Support Analytics Tools and Technologies: Get hands-on experience with popular customer support analytics tools such as Zendesk, Salesforce, and Tableau.
โข Data Visualization for Customer Support Analytics: Learn how to create compelling and informative visualizations to communicate insights and recommendations to stakeholders.
โข Customer Support Analytics Project Management: Understand how to manage customer support analytics projects from start to finish, including defining project goals, selecting appropriate tools and techniques, and communicating results to stakeholders.
โข Data Security and Privacy in Customer Support Analytics: Ensure that customer data is kept secure and private throughout the analytics process, adhering to relevant regulations and best practices.
โข Ethics in Customer Support Analytics: Explore the ethical considerations of customer support analytics, including data ownership, privacy, and bias.
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