Unstructured data comes in many forms: non-conformances, product complaints, maintenance reports, customer feedback, and even employee satisfaction surveys. Until recently, however, finding an efficient way to analyze this data presented a real challenge. In this webcast, you'll see how advanced text exploration capabilities in JMP let you quickly extract insights from text-based data.
In this webcast, you will learn how to use the JMP Text Explorer platform to organize unstructured data into a Document Term Matrix which allows you to see the linkages between word usage and document of origin. The presenter also demonstrates how a word cloud allows you to visualize word frequency in a way that makes clear the prevailing themes in any given unstructured data set. He'll illustrate how, with JMP, you can manipulate the importance (or weight) placed on each term in the matrix and explore the themes that are most relevant to your organization using topic extraction. Lastly, you'll see how to surface systemic problems across multiple sites by generating a Clustering Documents report.
And you'll walk away with a better understanding of the utility and efficiency of text exploration.