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Regarding what SAP can do better in SAP Master Data Governance, they have an entire roadmap of constant improvements since they deployed the product, always adding new business functionality and add-ons. Each company may have different feedback, wishing for certain features. The essence of SAP Master Data Governance is to provide structure, and from my standpoint, it offers a pretty good structure. There will always be areas for improvement; for example, when I deployed it a few years ago, their approach to internal orders for finance was still new, and they were figuring out how it would work based on organizational requirements. The financial data objects are straightforward, but financial statements are a bit more challenging. It is not a one-time deployment; it requires ongoing investment in user and product knowledge, and you need to weigh the pros and cons of any IT solution. I often advise clients to walk before they run because establishing hierarchies requires having a designed structure before implementation, though you can add that later. For additional functions in SAP Master Data Governance, it is interesting because on my project, we are already using AI technology for data cleansing before records are entered into SAP Master Data Governance. It would be beneficial to have the Dun & Bradstreet add-on within SAP Master Data Governance. However, one must remember that for AI to work effectively, it requires good data. Without that, AI does not make a difference. SAP Master Data Governance will always require a human perspective, especially to identify duplicate records. While SAP Master Data Governance provides technical capabilities for identifying potential duplicates based on searches, it requires human oversight due to the complexity of analyzing data fields. I believe integrating AI into the product could work, particularly after a solid data migration, which ensures that the records are reliable before utilizing AI for analytics.
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