XM Knowledge Base
Topic: Data
Anomaly Detection in eXperience Management | Response Count Time Series
Introduction Anomaly detection is an important business problem that allows identification of anomalous events and their subsequent analysis and remediation1. According to Hawkins an anomaly is an ...
By Grzegorz Chlebus
Building a Customizable Platform for Sentiment Analysis
Overview On May 12th we launched a brand new Sentiment Analysis tool to the world as part of the Qualtrics Experience Management Platform. We know Sentiment is important for understanding unstructure...
By Martin Mumford
Teaching Machines to Read Emails: Feature Selection
In my previous post, I laid out the design for the ticket topic prediction model used at Qualtrics. This system sorts incoming support emails into different topics which are then used to route emails ...
By Zach McDonnell
Writing Emails with Machine Learning
Although I am currently a software engineer, I started at Qualtrics helping clients as a support representative. After a year of answering hundreds of phone calls and writing thousands of em...
By Zach McDonnell
Designing a Scalable Data Platform
Qualtrics is growing rapidly both in terms of our number of clients and their volume of data. With more data we can provide more powerful insights, but we face technical challenges because of the shee...
By Peter Brown-Hayes
Why I’m (still) at Qualtrics
I joined Qualtrics in February of 2015 after spending 10 incredible years at Amazon, where I was a Director of Engineering who had just finished launching the Echo product. At Amazon I learned how the...
By John Thimsen