Context and objectives
A major player in the food industry
Rollout program for the new Core Finance Model across Europe, aimed at achieving standardization, harmonization, and automation of accounting processes and performance management within the Group
Enhancement and harmonization of various SAP instances (ECC6) to prepare for the implementation of S/4HANA. This includes deploying new functionalities such as actual costing and profitability analysis, ensuring “One Single Source of Truth.”
Our Mission
Support SAP Central Finance & Tagetik Rollout across European clusters
Data & Governance Stream are particularly in charge of:
- Data Quality: Structure and oversee the data collection process, ensuring data quality
- Data Governance: Help establish a centralized governance framework for cost centers
- Project Support: Provide assistance during UAT phases, cutover, training, hypercare, and communication efforts
Results
High-Quality Master Data to support an extended Core Model, including implementations like actual costing, COPA, and parallel valuation
Centralized Governance to enhance data quality and harmonize processes across the Group’s entities
AI Integration in Historical Data Projects
Automated Data Extraction :
Pattern Recognition : Identify and automatically extract relevant data from various sources, including unstructured data.
Data Cleaning and Transformation :
Detect and correct anomalies, ensuring high-quality data transfer.
Data Normalization : Automatically convert data into a standardized format suitable for the new system.
Data Migration :
Intelligent Planning : Optimize migration plans by identifying the best strategies and sequences for data transfer.
Automated Transfer : Reduce manual interventions with AI algorithms managing data transfer.
Validation and Verification :
Quality Control : Ensure transferred data was complete and accurate.
Automated Testing : Conduct tests to confirm data functionality in the new system.
Predictive Analysis :
Problem Forecasting : Anticipate potential issues during migration and proactively proposed solutions.
Results
Time Savings: Significantly reduce the time required to extract, clean, and transfer data.
Enhanced Accuracy: Minimize human errors through automation and continuous verification.
Efficiency: Streamline processes leading to fewer disruptions in daily operations.
Adaptability: Handle large and diverse data volumes effectively.
