Duration: 45 Minutes
Your data is more than the sum of its rows. Learn how you can harness Clarabridge’s machine learning-derived sentence type detection to pinpoint cries for help or suggestions. Report on automatically generated World Awareness attributes to see trends you didn’t know were happening, for data you didn’t know you had. Then use derived metrics to push your calculations further with filtered metrics and custom math metrics that calculate exactly the context you need to make decisions.
Principal Product Manager, Clarabridge
Ellen Loeshelle is a Senior Product Manager for NLP and Data Enrichment at Clarabridge. Prior to her current role, she also worked as a Business Consultant and as the Product Manager of the Data Acquisition team. Throughout her nearly six years with Clarabridge, she has worked with customers to develop innovative solutions to language and social media data challenges within the context of linguistics and technology theory. She is currently focused on improving the Clarabridge NLP and enriching feedback data with semantic and pragmatic strategies. Ellen is a proud alumna of the University of Virginia and Georgetown University.
Product Manager, Clarabridge
Milan Gamble is the Product Manager for Analytics, concentrating on reporting functionality in CX Studio. His products include CX Studio dashboards, widgets, filters, and metrics, with a hand in user management, distribution, and other CX Studio features. Before joining Clarabridge, Milan was the Product Manager for visualizations, custom visualizations, and location intelligence at MicroStrategy, a business intelligence software company, with an additional concentration on self-service analytics interfaces. Milan earned a B.S. in Mathematics at Virginia Tech.