Table of Contents
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 |