Welcome to Keatext.
Keatext dives into the data to reveal data-derived insights that the company could have acted on to take better care of its customers and, as a result, positively boost its public profile.
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.
Interested in AI-powered text analytics for feedback interpretation?See Keatext
It has become more than necessary to decipher consumers’ wants and needs in order to continuously come up with the creative perks and benefits that will keep them around.
80 percent of the data processed by brands on a daily basis is either unstructured or semi-structured. Admittedly, the hospitality industry has a bit of catching up to do.
A CX strategy that incorporates text analytics lets companies recognize previously unknown data-gathering opportunities and transform their guests’ comments and insights into loyalty-building experiences with their brand.
Unstructured data appears chaotic at first glance, but with new forms of AI data analysis it can be tamed to help solve business problems, make organizational changes or tweak a service or product.
We dive into what unstructured data comprises and why AI machine learning and deep learning is the answer to unravelling your customer feedback into useful data.
An actively disengaged employee costs their organization $3,400 for every $10,000 of salary, or 34 percent. That means that a disgruntled or “checked out” person on staff making $60,000 a year costs their company $20,400 for that same year.
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