Keep Company Records Up To Date

Case Study

One of the world's largest company information providers came to us with a challenge. The company spends a very significant amount of money every year, employing both internal call center staff and several outsourced call centers to make calls to companies in order to keep the company information in their databases up to date.

There were several issues with this approach:

• Making the calls is a very expensive process
• Because the calls are so expensive, company records are not updated frequently, and some company records may not be updated for several
• Because making call after call to companies is a repetitive task, external call center staff tend to become bored with the task, which decreases the accuracy of their work.

The client wanted a solution to overcome these problems. Could we do this?

aiHit spent four weeks on putting together an initial production system. Using this system, we were able to:

• Verify existing data contained in the company records (company names, addresses, phone numbers, fax numbers, registration numbers, etc)
• Extract several fields that were desired, but not currently held by the client.

Our initial system was able to achieve 98%+ accuracy. These values are similar to what a well trained data entry team achieves. Once the system was configured, we were able to process several 10k companies per day. And were able to do this at a cost point that is significantly less than what manual data entry costs.

The client sees this solution as a 'first line' of activity, meaning that company records can first be processed by the system and the records that the system cannot process (for example, because the company doesn’t have a website) can still be processed by hand using the current process. This gives the client the choice to either reduce internal costs or keep the same cost profile and refocus call center staff on more value add activities, leaving the ‘grunt work’ to computers.