UDig worked closely with the client to gain a thorough understanding of its business and to identify commonalities and opportunities where automation could help resolve discrepancies in their data. An initial inventory analysis determined the scope of records needing to be addressed. Over the course of several months and through regular communication with the distributor, the Data team created consistencies within the varying datasets and successfully integrated most of the products. To remediate the remaining data, UDig conducted extensive product research and, at a very granular level, determined how every datapoint should be updated through independent research and SME interfacing.  

There are marked improvements in the organization’s overall data quality, primarily evident in the business’s ability to have a comprehensive and reliable view of its product inventory. In turn, the distributor has realized operational efficiencies along with improved forecasting capabilities which yield significant cost savings for the organization.  The engagement remediated a large volume of backlogged, disparate data and helped establish a foundation for data integration resulting from any additional acquisitions in the future.