retail Apparel Company: Ibm Master Data Management Support
Our client is a well-recognized retail apparel chain headquartered in Texas and operating 1,500+ stores in the US and Canada. The company has acquired many big market players as its subsidiaries. The company offers men’s and women’s clothing, footwear, tuxedo rentals, and suit pressing with quality, fashion, and innovation as a central part of each product. The company has many warehouse facilities with a reliable supply chain mechanism. Globally, around 22,500 employees are providing high-touch, high-quality shopping experience across their brands.
The client’s customer data originated from four sources, and a custom code written to match and merge the records was flagging wrong customer records as golden records. This was affecting downstream systems, and many hours wasted in data analysis and manual correction of data. Ultimately, trust in the data was declining.
XTIVIA analyzed the source systems, the data patterns, customer data, and the type of data quality issues experienced by the client. We fixed some of the data quality issues originated at the source and standardized data format before the match/merge process. We implemented a match and merge process, which improved the matching score and accuracy in flagging the right customer record as the golden master record. After implementing the changes, the number of Jira tickets related to production data issues went down by 65% within two months of starting the engagement.
With XTIVIA’s implementation of overarching Master Data Management, the client now had the tools and capabilities to easily recognize issues with their current match/merge process and business rules. The solution also improved client data knowledge, which offered them timely availability of accurate, stable, and the latest customer master data. With their new system, XTIVIA was able to improve accuracy in reporting and their overall trust in company data.
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