Blog
How to Build an SAP Data Governance Operating Model for S/4HANA
A practical framework for turning governance policy into controlled execution across ECC, migration, SAP S/4HANA, and connected applications An SAP S/4HANA transformation can modernize the digital core without changing how the enterprise governs master data. The new environment may still inherit slow approvals, inconsistent rules, duplicate records, unclear ownership, and manual handoffs that existed in […]
Blog
Master Data Governance for S/4HANA: How SimpleMDG Makes Readiness Executable
A solution evaluation guide for operationalizing data quality, ownership, workflow, integration, and continuous control before and after migration. Most migration teams know they have master data defects. What they often lack is an operating model for finding them, assigning decisions, resolving exceptions, and preventing the same defects from returning. That gap becomes more visible as […]
Blog
S/4HANA Migration Data Quality: What Migration Ready Master Data Looks Like in Practice
A practical guide to identifying, validating, and remediating the master data issues that can disrupt testing, cutover, and operations after go live. Data can pass technical migration checks and still fail the business after go-live. A material record may load successfully into SAP S/4HANA while carrying an outdated unit of measure. A bill of materials […]
Blog
The Hidden Risk in SAP Clean Core: Modern Code Is Only Half the Transformation
SAP Clean Core has changed how organizations approach SAP S/4HANA transformation. Reducing custom code, removing obsolete developments, and simplifying extensions are essential to creating an SAP environment that is easier to maintain, upgrade, and innovate. However, technical modernization addresses only one part of transformation readiness. An organization can modernize its custom code while still carrying […]
Blog
Master Data Governance for Stronger Business Control
Data is the currency on which global enterprises run today, driving business-critical decisions from strategic initiatives to building customer experience. Harnessing high-quality data to drive innovation, efficiency, and sustainable growth is no longer a strategic differentiator but rather essential for long-term business resilience. Additionally, in today’s digital world, AI is a key driver of business […]
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Choosing the Right Retail Master Data Management Platform for SAP Landscapes
Retail leaders rarely begin the day thinking about master data platforms. Their attention is on customers, margins, suppliers, inventory, merchandising performance, and growth. Yet many of the operational issues that consume leadership time can be traced back to an earlier decision: how product, supplier, customer, location, and financial master data are governed across the business. […]
Blog
SAP Doesn’t Break in Retail. Your Data Does.
Why Retail Speed Exposes the Weakest Link in SAP Environments Walk into the weekly operations meeting of almost any large retailer, and the discussion often sounds surprisingly familiar. Inventory teams report that thousands of units are available, while store managers insist the shelves are nearly empty. Finance reports healthy margins, procurement disputes supplier invoices, and […]
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Inventory Data: When SAP Says Stock Is Available, but Customers Find Empty Shelves
Few experiences erode customer confidence faster than promising inventory that does not actually exist. While these situations often appear to be operational failures, they frequently originate much earlier in the process with inconsistent master data. Within an SAP retail environment, inventory information flows continuously between distribution centers, stores, e-commerce platforms, warehouses, transportation partners, and finance […]
Blog
How SAP Organizations Can Build an AI-Ready Data Foundation
AI is no longer a future consideration for enterprise organizations. It is a present-day strategic priority, one that is appearing on boardroom agendas, shaping technology roadmaps, and influencing investment decisions across industries. Yet for most SAP organizations, the distance between AI ambition and enterprise-scale execution remains significant. I have spent my career working with SAP […]
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SAP Acquires Reltio: The Architectural Implications Every Enterprise Data Leader Needs to Understand Now
This analysis represents SimpleMDG’s point of view and is not an official statement or positioning by SAP. On March 27, 2026, the strategic landscape for enterprise data shifted when SAP announced its intent to acquire Reltio, a cloud-native, AI-first master data management platform. This has sent a strong signal by the world’s ERP leader that […]
