“Even reading through a few hundred ratings and reviews to see what jumps out takes a lot of time that we don’t have, especially when our company has grown quite a bit. Instead of 8 hours to parse the details of the data in 6,000 reviews, it takes me 10 minutes using Keatext.”
With rapid improvements to digital banking technology, for instance, customer expectations of their banking experience have risen. In light of these evolutions in client banking trends, Keatext decided to look at clients’ experiences at RBC branches in Montreal and Toronto.
Keatext’s team analyzed this incredible amount of publicly available customer and employee feedback from review sites where customers and employees feel free to speak colloquially and candidly.
While concerns about the app’s privacy and accuracy dominate the media, Keatext decided to dig into the data to see what app users are saying about their experience with COVID Alert.
The Keatext team analyzed Marriott’s publicly available, unsolicited reviews from review sites where customers feel free to speak colloquially and in the language of their choice.
Tapping into the Voice of the Employee with text analytics for employee surveys
Case study: CustomerCount’s development team has been working hand-in-hand with Keatext to craft a sophisticated solution that helps its customers leverage rich, unstructured data to make better daily business decisions.
By combing through text analytics feedback, the BGV team was able to pick up on a few minor friction points that were needlessly adding complexity to cancellations and reschedulings.