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P&G Data Governance case-study

P&G Data Governance case-study

June 22, 2022
solution-sepreator
Company
Procter & Gamble Company (P&G)
Industry
Consumer Packaged Goods (CPG)
Location
Asia, Europe, IMEA, Latin America, North America

Problems

Complexities

Impact

Summary

The Procter & Gamble's Data Governance Team leveraged RightData to optimize their data quality assurance and control of their master data, including over 12 unique SAP instances and billions of records. Prior to the implementation of RightData analysts would download all data offline weekly, combine data from multiple sources, and manually reconcile inconsistencies in the data and variance between data sources. In addition to their manual process, the tilized a ar Dartv tool for validation or their master data, By usina RightData, this Client was able to replace their existing data validation tool, manual processes, and custom solution, resulting in $5.3m in annual savings

The Challenge

Client has complex data platforms with an instance for master data and multiple regional downstream application servers. Their process for identifying and fixing data quality issues resulting from master data being out of sync was forced to be reactive, due to the time and effort required. This process consisted of a 3rd party tool, manual effort, and a custom developed solution. This complex, laborious procedure had a direct impact on users completing business process on their systems.

The Solution

After an initial assessment of their Data Quality Assurance and Control processes, RightData was able to develop a streamlined plan that retired their existing 3rd party tool. custom solution. and manual effort done bv analysts. This resulted in millions of dollars in savings and time qiven back to the analysts to focus on improving the business versus executina a manual process. From Data Quality Assurance (DQA) to Data Quality Control (DQC), this customer is now able to take a proactive approach to data quality and maximize the value of their data assets