Key Highlights:
Introduction to ERP and MDM:
- Explanation of ERP systems and their importance in managing various business processes.
- Overview of MDM and its role in ensuring data consistency, accuracy, and quality across ERP systems.
Common Challenges in ERP Projects:
- Complexity of ERP migrations and integrations.
- Issues with budgets and schedules due to data migration challenges.
- The problem of fitting legacy data into new ERP systems.
CluedIn’s Approach to MDM:
- Introduction of a "soft landing space" for data between legacy and new ERP systems.
- Use of ELT (Extract, Load, Transform) approach instead of traditional ETL (Extract, Transform, Load).
- Benefits of CluedIn’s staging environment for handling raw data with inconsistencies.
Data Quality and Automation:
- Importance of maintaining high data quality for automation in ERP systems.
- CluedIn’s tools for data quality checks and validation.
- Use of AI and automation to streamline data migration and integration processes.
Demonstration of CluedIn’s MDM Capabilities:
- Step-by-step demonstration of ingesting, processing, and mapping data from different ERP systems.
- Use of CluedIn’s CoPilot to assist with data quality issues and mapping.
- Example of handling data anomalies and duplicates using CluedIn’s tools.
Benefits of CluedIn’s MDM for ERP Projects:
- Improved predictability and reporting of data migration progress.
- Reduction in manual work through automation and AI.
- Enhanced ability to handle heterogeneous data formats and structures.
- Incremental improvements in data quality and integration.
