Duco, a leading cloud-based data automation company, today announced that WTW, a leading global advisory, broking, and solutions company, have chosen Duco's no-code, self-service data automation platform to automate intercompany reconciliations in their Insurance Accounting function and unlock strategic insights across their business.
The firm is in the middle of a widespread strategic transformation project with a focus on agility and resilience. The strong results delivered by Duco enabled them to decommission their previous legacy system and simplify their operations.
WTW leveraged the expertise of Duco’s Professional Services team to coordinate the implementation and deliver immediate impact and build controls that can scale across the business.
Jason Langley, Director, Accounting and Settlement at WTW, said: “I am delighted with the results we have seen from the Duco platform, which have exceeded our expectations. Given the quality of data, the match rates being achieved are incredibly high, and this has opened up a number of opportunities to transform and optimise our business. It has been possible to automate large parts of our most complex reconciliation, removing all manual work around matching, categorising and labelling. This has freed up our team to focus on value-added tasks such as root cause analysis and fixing data issues at source. We’ve unlocked a suite of global analytics that our senior leadership team can use to assess and improve performance across the company. The flexibility of the Duco platform is so great that we identified many new applications within the first week of using it and are looking forward to leveraging the tool to help us become a more data-driven business at the cutting edge of technology.”
Christian Nentwich, CEO of Duco, said: “It’s great to see the transformative impact the Duco platform has already had for WTW, both in helping Jason’s team in Insurance Accounting add greater value for the business and providing global analytics to inform strategic decisions. I’m excited to see what WTW will achieve as they continue to explore the many applications of data automation.”
By on Wed, 05 Jul 2023 09:48:00 GMT
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