Only the business-partner counts (not only) in the business domain of RealEstate
Project Profile
Proof for the aggregation of debtor/creditor data in the context of a system migration from SAP R3 to SAP S4/Hana.
Data aggregation for migration risk reduction
At a glance - essential project data
| Duration | From 11/1/2020 to 12/1/2020 with about 1 months of full engagement | |
|---|---|---|
| Data and Tools | Market - RealEstate Sources •SAP R3 Export (DEB/KRED - Tables) • Custom-DatawareHouse (DWH) • Optional: DataScrapping Google API/Places/Content • Optional: Different International Service Data Provider (Paid/Free) | |
| Integration | DataExchange with Excel/XML for Data Migration | |
| AI Methods | • Deep Learning • Heuristics |
Engagement Use-Case
Duplicate cleansing for accounts receivable and accounts payable in S4/Businesspartner.
Client motivation / Solution aims.
- Reduction of the cleanup effort for business partners in a time-critical project
AI Approach
| AI key technology used in our solution | "String Distance Algorithm" works already with few samples as backup for NLP approach. | |
|---|---|---|
| Solution Approach | NLP Deep-Learning Heuristics | |
| Project Approach | Simply agile | |
| Project Type | Proof-Of-Concept (POC) | |
| ML Integration and ML Operations | • Operation Integration • Excel Import • Quality Reporting of Summarization/Merge |
Insights and Details
Starting from Excel Export of the Customer Datawarehouse. Reaching Reductions of about 90%. A small Visualization shows the Clients Distribution of his own Debitors/Creditors to be summarized
