AI in ERP & Data Migrations
Half-day (4h): AI as a tool in ERP projects and data migrations.
Who It’s For
You’re implementing an ERP system or migrating data between systems. Data quality is the biggest risk – and AI can concretely help. This workshop shows how to use AI as a practical tool to speed up merges and catch errors early.
Agenda
Part 1 – AI in the ERP Context (45 Min) Where AI actually helps in ERP projects. Data quality as the biggest risk.
Part 2 – Checking Data Quality with AI (60 Min) Detecting anomalies, duplicates, and pattern errors. Live demo.
Part 3 – Entity Matching & Merges (45 Min) Bringing customer data together. Deduplication strategies. Case study: corporate merge.
Part 4 – Your Project (30 Min) Bring your own data. Next steps.
Results & Materials
- A concrete data quality strategy for your projects
- Faster migrations – automation where possible, manual only where necessary
- Fewer go-live surprises – find errors during preparation, not after
- Checklist: evaluating data quality
- Tools list: AI tools for data quality (with costs)
Real-World Example
During an M&A integration, 50,000 customer records from two systems had to be merged – manually, that would have taken weeks. An AI algorithm matched customers automatically (99% confidence); only uncertain cases went to human review. Result: 3 days instead of 3 weeks – a clean, deduplicated customer base.