SKOPOS proudly presents: Customer experience research aims to find the key drivers of why customers are happy – or unhappy – with your products and services. In times when surveys need to be shorter and open-ended questions are on the rise, gaining valuable insight in a scalable way is a challenge faced by the whole insights industry.
In this case study Christopher Harms will show how an elegant combination of NLP techniques, machine learning methods and statistical tools can provide actionable insights and helps SEAT to identify how to ensure customer satisfaction and loyalty. In this talk, we show how data science can provide scalable, valuable solutions to real-world business problems when time and resources are scarce.
To join the meetup, please follow this link.