Customer segmentation for business success with Knime

  • 27 Aug 2020
  • By Shubham Goyal
This webinar has now ended. Please view the session recording above

Customer segmentation has undoubtedly been one of the most implemented applications in data analytics since the birth of customer intelligence and CRM. Data scientists and modern business analysts work closely together to achieve and automize a comprehensive description of the company’s group of customers.

However, they usually came across these two challenges:

  • Need to implement a customer segmentation frame that can accommodate a self-adjusting procedure.
  • Need an interactive way to inject their knowledge into the customer segmentation frame without ever opening the underlying data processing workflow.

Join our upcoming webinar to learn how to generate different customer groups using clustering and how to provide insights into the performance of sales activities.


Shubham Goyal

Data Scientist

Shubham Goyal is a Data Scientist at Knoldus Inc. With this, he is an artificial intelligence researcher, interested in doing research on different domain problems and a regular contributor to society through blogs and webinars in machine learning and artificial intelligence. He had also written a few research papers on machine learning. Moreover, a conference speaker and an official author at Towards Data Science.

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