Text is the largest human-generated data source. It grows exponentially every day as we post on social media, interact with chatbots and digital assistants, send emails, conduct business online, generate reports and essentially document our daily thoughts and activities using computers and mobile devices.

Results from text analytics can be applied to a wide variety of business use cases, including detecting and tracking service or quality issues, quantifying customer feedback, assessing risk, improving operational processes, enhancing predictive models and many more.

Text analytics solves a variety of business problems and applications across all industries are expanding.

In this white paper, let’s take a look at a few use cases with some advice on where to begin with text analytics in your organization.