Ensuring client data accuracy is vital for insurance companies. Not only is up-to-date information needed to build accurate reports but also to meet regulatory compliance. Yarado helped Midglas, a Dutch insurance company that insures more than 800,000 Dutch risk addresses, to ‘clean’ and update a large amount of outdated client data within ANVA – an insurance ERP system.
Due to vast amounts of outdated client account data (some over 20 years old), visibility and reporting within ANVA was very limited. Irrelevant data from 17,000 outdated accounts was hindering Midglas’s ability to derive reliable insights, polluting the more relevant current data. Furthermore, the legacy data resulted in low system performance, causing employee frustration.
Before Midglas brought Yara onboard, the process involved manually checking off all entries related to each client. This meant months of tedious, labour-intensive work, which was also highly susceptible to errors.
The following five steps were part of this process:
Yarado quickly updated the account data within the insurance ERP system, saving hours of manual work and transforming the quality of the data.
Besides updating the ERP system and transforming the data quality and accuracy, Yara is now periodically maintaining the system, ensuring the data quality remains at the highest level. Backed-up with advanced Optical Character Recognition and computer vision capabilities, Yara made sure that the right records were selected without missing one single client.
In doing so, Yara executed two tasks: