Consumer Products – Personal Healthcare – Industry Case Study

Highlights

Industry: CPG/Personal Healthcare

Geography (Global): HQ in North America, Plants/Sales Regions in EU, Asia-Pacific, and China

Scope: Costing, Materials Management, PLM, Packaging, Data Quality

Cross-functional Teams: Finance, Inventory Management, Marketing, Transportation, R&D, Packaging, PLM, and Master Data Management

Systems Supported: SAP S/4HANA, SAP PLM, Custom App based on SQL Server, SQL Server

Total number of stakeholders involved in Master Data workflows: 100+ globally

 

Key Master Data Issues before ZMDM adoption

  • Cost synchronization between different SAP systems (Manufacturing and Order-to-cash SAP systems) was time-consuming and an obstacle to financial and operational excellence
  • Annual cost updates used to take upwards of 3 months, using up valuable time of finance teams
  • The manual approach to resolving data quality issues was long and tedious, leaving a lot of data quality issues to persist
  • Maintaining consistent dimensional and packaging related data for SKUs across multiple systems to support New Product introduction launches

 

Results

 

Before ZMDM After ZMDM
Cost synchronization between different SAP systems time was time consuming and took a coordination and data entry effort Simplified, allowed finance teams to review data as part of the workflow, and automated after review activity
Annual cost updates were a 3-month effort with multiple teams involved Minimized to less than a month and requires minimal effort
Packaging and dimensions related data for SKUs required many teams to be involved and update of several systems Cross-functional workflow simplified coordination and automated most of the data capture and updating processes
Data quality issues were many and handled manually with data loads Data quality issues are automatically captured and resolved using cross-functional and automated workflows
Expensive legacy Master Data Management platform doing very little in terms of Master Data process and data quality improvement Saving hundreds of thousands of dollars in license/subscription/operations costs yearly by decommissioning the legacy Master Data Platform

 

 

Case Study Details