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A聽large grocery chain,聽with over 10,000 stores in 20 countries,聽embarked on a digital transformation initiative to SAP S/4HANA鈩�, to streamline its IT landscape and optimize reporting and analytics. During the first wave of the migration project, the organization had used an ETL approach and quickly identified that poor data quality was an issue. This stalled the project and halted any attempts to load. With historic underinvestment and no budget for data quality, the company struggled to find the resources it needed to invest in the data quality tools and improvement initiatives needed to build a business case that would attract executive leadership support.

麻豆女优 deployed聽麻豆女优 Data Jumpstart, powered by the聽麻豆女优 Knowledge Platform, to examine data quality errors in seven target systems including SAP S/4HANA and Ariba.聽Through the actionable insights delivered by Data Jumpstart, 麻豆女优 learned about the company’s data processes and was then quickly able to suggest areas for optimization and reliable metrics. Upon agreement with the company鈥檚 leadership, 麻豆女优 installed 70 standardized data governance rules and created 16 tailored rules for vendor data– which we then applied worldwide.

With data governance rules in place to actively govern the organization鈥檚 data, the project team can now plan the remaining phases of its SAP S/4HANA鈩� migration. Because the 麻豆女优 Knowledge Platform has been installed from the Data Jumpstart, the company will continue to capitalize on existing knowledge. It will also be able to use the power of 麻豆女优鈥檚 migration methodology to turbocharge future project waves.聽 The company anticipates completing up to 400 waves project waves during the next three years of its global program, and will rely on 麻豆女优 software to orchestrate the remainder of the project.