1 / 1

Self-Service Data Governance in SAP

Your trusted source for Master Data Governance for SAP insights. Learn how SAP Master Data Governance drives clean, consistent, and compliant business data.

Simple41
Télécharger la présentation

Self-Service Data Governance in SAP

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. From Request to Resolution: Self-Service Data Governance in SAP Introduction: Why Traditional Governance Fails If you ask any business user about master data governance in SAP, you'll likely hear a common complaint: "I submitted a request, but it's still stuck in IT's backlog." The traditional model is reactive and heavily reliant on IT. When creating a new vendor, changing a material classification, or correcting customer data, the process often involves tickets and numerous approvals, and can even demand custom code to meet requirements. As a result, cycle times can stretch from days to weeks, causing business teams to lose momentum and increasing compliance risks. Self-service data governance transforms this model. Instead of facing bottlenecks and tickets, business users are empowered to access governed portals, raise requests, validate inputs, track progress, and resolve issues— all while following controls that protect the enterprise. What Is Self-Service Data Governance? Self-service governance empowers domain experts to take ownership of their data. Through intuitive portals and guided workflows, they can: - Initiate requests to create, change, or retire master data. - Validate information at the entry point with built-in rules and AI-assisted checks. - Approve changes using role-based workflows. - Track status through dashboards and notifications. This approach doesn't bypass IT. Instead, IT establishes the guardrails, integrations, and security measures. The key differences are speed and ownership: business users can act immediately within governed, auditable processes that ensure accuracy, compliance, and accountability.

More Related