Rolled-Up Sleeves Needed

At Gaylord Hotels, the Clarabridge tools are helping the company address a variety of emerging problems quickly, Bodoh says.

For example, the software recently confirmed for Gaylord managers a problem synchronizing its automatic door locks, preventing key holders from opening room doors.

"For a few days, we were seeing a spike in the number of complaints around these key problems," Bodoh says.

As it turned out, the annual changeover from Daylight Savings Time to Standard Time was the culprit.

"We identified that it was related to the changing of the time in the software that runs the locking system," he says. "That's an example of something that we normally wouldn't have seen, but all of a sudden it popped up to the top."

"Before text analytics arrived, enterprises were limited to manually analyzing a small percentage of the unstructured customer information they received," says Sid Banerjee, Calrabridge's CEO and chairman.

But while text analytics can rapidly generate vast amounts of deep customer insight, the technology is still far away from becoming an out-of-the-box solution, IT leaders say.

"I'd consider it complex," Travelocity's Mahl says. "For our purposes, in order to get full value from the application, we will have to train analysts to use the software, invest in tuning the taxonomy to produce more granular analyses and integrate the output...with our enterprise data warehouse so we can use the combined data for even greater customer insight."

Mahl would also like to see Attensity extend its software to include real-time access to additional data sources, such as websites and blogs, both of which would allow Travelocity to monitor even more customer views.

Gaylord's Bodoh notes that many of the text analytics applications that he's examined support only a limited range of analytic topics. "Some would only be able to categorize 40 or 50 problems," he says. "With the categorization model that we have in place, we have over 300 categories."

IT leaders examining these tools should also consider the number of "sentiment" words that an application can recognize, Bodoh warns.

"Clarabridge has the capability to really comprehend what the sentiment is for about 25,000 to 30,000 words, and you can tweak that for your industry," Bodoh notes.

New Frontiers

As a growing number or enterprises adopt text analytics, the technology is likely to migrate into other business applications that brush up against users' thoughts and opinions.

For content management products, Halper notes, text analytics can be a complementary technology; for example, text analytics can help categorize or enrich content, analyze content in a data repository, or improve workflow.