Objective
The Colorado Department of Labor & Employment (CDLE) was having issues enrolling claimants in necessary state-funded programs due to inaccuracies in citizen contact details. As a result, staff time was wasted in researching alternative communication methods, citizen enrollment was taking much longer than necessary, and returned mail was piling up.
Solution
CDLE implemented Experian Data Quality real-time address verification within the call center and self-service web portal to standardize the capture of citizen information. The state of Colorado now ensures that claimants provide complete and accurate contact information at the point-of-capture. In addition, CDLE uses backend address verification to cleanse address files before importing into their database, ensuring that only standardized and complete contact information is entered.
Results
CDLE now has a more streamlined approach toward processing claimant inquiries and requests. In addition to improved processes, database accuracy has improved by over 20 percent and returned mail has gone from more than seven giant postal service bins to less than four small boxes annually.
About CDLE
The Colorado Department of Labor and Employment works extensively with the State on occupation and employer postings, unemployment insurance claims and other state funded programs. The agency acts as an information hub for the citizens of Colorado, giving the ability to file claims and requests, learn about potential openings and much more.
Citizens are able to file claims and provide contact information by calling into the agency or going to their newly launched self-service web portal. From there, claims and requests are processed almost immediately.
CDLE found that most contact data mistakes were a result of errors on the part of the person entering the information. In addition to mistyping, residents also often forgot to provide important details like street directional and apartment numbers, leaving contact details incomplete.
Jay Johnson, manager of employer services/business analyst for CDLE, was experiencing the repercussions of bad address data and was tasked to find a resolution.