Master Data Sanity Check

Refer to row no 48 of https://digitate.atlassian.net/wiki/spaces/ID/pages/3776644118

There is no limitation. There is also the chunking logic added to keep the update of records to minimum in each call to SAP.

There are internal SAP adapter programs written to update SAP master data records based on approval and necessary validations. Missing master data generally is updated by business teams based on their knowledge. For example, vendor payment terms, material or article prices are all governed by the business teams.
For self healing, ignio suggests some recommendations.

Yes, AI.ERPOps makes use of artificial intelligence which is implemented via programming for each KPI.

Master Data Sanity check capability checks inconsistency within the systems only. For example, Inconsistency of Production system

In AI.ERPOps 5.0 release, Master Data Sanity Check Self-heal feature is introduced which rectifies the
Master Data Inconsistencies as well. Refer to Eagle | AI.ERPOps 5.0 | Master Data Sanity Check (MDSC) – Check Master Data User Guide

ignio™ MDSC does inconsistency and missing master data checks post the implementation phase.

Yes. However, ABAP and Java coding is required to implement this type of customization in sanity check.

The missing delivery plant KPI is maintained in Customer Master.