cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • Learn how to build custom Python data connectors and further customize JMP’s Data Connector Framework with the Python Data Connector Demo, available now in the JMP Marketplace!
  • See how to move from signal modeling to system modeling at the first JMP Aerospace Analytics webinar. Register. June 18, 1 p.m. US Eastern Time.

JMP Blog

A blog for anyone curious about data visualization, design of experiments, statistics, predictive modeling, and more
Choose Language Hide Translation Bar
natalieneal
Level III
Customer Voices on Shoes: Text Mining for Quality Insights

Companies in the Consumer-Packaged Goods (CPG) industry need to understand what their customers are saying about their products to improve sales and customer satisfaction. Given the large volume of documents, it is timely and difficult to assess manually.

Voice of the Customer is a strategic approach to understanding and aligning with customer wants and needs and is a fundamental principle in Lean Six Sigma. Analyzing unstructured text data is key to Voice of the Customer because it eases the translation of verbatims to critical to quality measures (ex: durable shoes), to project metrics (days before shoe is unwearable), and to actionable improvements.

JMP has excellent features that allow users to streamline the process of analyzing unstructured text data. Text Explorer is a valuable tool for understanding the Voice of the Customer by making text data more meaningful. JMP can also turn textual data into a set of values used to further analysis and make predictive models. 

Tools: Text Explorer, Word Clouds, Sentiment Analysis, Topic Analysis, Predictive Modeling-Bootstrap Forest, JSL GUI, export

Data is from Kaggle: Men_Women_Shoes_Reviews (kaggle.com)

(view in My Videos)

natalieneal_0-1721832248613.jpeg

 

Last Modified: Jul 24, 2024 10:44 AM
Comments