Enterprise Master Data Cleaning
- 1 →
Enterprise Master Data Cleaning: The Business Case for SAP Supplier Data
Why dirty vendor master data quietly costs enterprises millions, how AI helps, and the operating model that makes it safe. Part 1 of the series, for business and leadership.
- 2 →
Embeddings and Vector Search, Step by Step: Finding Duplicate Suppliers
Learn embeddings, distance, vector databases, semantic search and a mini RAG one step at a time, by finding duplicate suppliers in a small dataset.
- 3 coming soon
Cleaning SAP Supplier Master Data with Airflow and Human-in-the-Loop
A technical blueprint: an Airflow pipeline that extracts SAP vendor data, finds duplicates and gaps, proposes AI fixes, routes risky ones to stewards, and writes back through MDG.
- 4 coming soon
Hands-On: Building the SAP Supplier Cleanup Pipeline in Airflow
A step-by-step build of the Route A pipeline: local Airflow setup, SAP extraction, matching and LLM proposals in code, the human review gate, and MDG write-back.
- 5 coming soon
Cleaning SAP Supplier Master Data with SAP BTP, MDG and Business AI
The SAP-native version of the supplier cleanup: pull Business Partner data from S/4HANA, analyze it with Datasphere, HANA Cloud and Generative AI Hub, and let MDG be the human-in-the-loop gate.