Simple MDG: What It Should Mean and What to Watch Out For

Simple MDG may seem like an unachievable yet appealing idea. Master data governance has a well-earned reputation for being slow to implement, expensive to maintain, and frustrating to use. The promise of a simpler approach is a legitimate one. But simplicity in MDG tools is not all the same, and the difference between a tool that is genuinely simple and a tool that is merely limited matters considerably when your business depends on the quality of its master data.

This article covers what simple MDG should actually mean, three things to look out for when evaluating any MDG tool marketed on the basis of simplicity, and what good looks like when a tool has achieved simplicity without sacrificing the capability to do the job.

What Simple MDG Should Actually Mean

The case for simpler MDG is straightforward. Traditional SAP Master Data Governance implementations are time-consuming, technically complex, and typically require specialist ABAP expertise to configure and maintain. The governance processes they enforce, while essential, create bottlenecks when every change to a master data record requires IT involvement. Business users end up working around the system rather than through it. The solution requires a project every time a rule needs to change.

Simplicity, applied well to MDG, solves these problems without removing the governance. It means:

• Fast deployment: going live in weeks rather than months, with pre-configured templates for the SAP data objects that matter most, rather than building governance frameworks from scratch
• Business user accessibility: governance workflows that business users can operate and configure directly, within guardrails set by IT, rather than requiring specialist involvement for routine data tasks
• No-code configuration: business rules, validation logic, and approval workflows that can be adjusted without development resource, so governance stays current without a change request queue
• A usable interface: a front-end that people actually want to use, rather than one that users work around because the alternative is too complex
• Real integration: native connection to the SAP systems the data lives in, without middleware, custom connectors, or manual synchronisation between the governance tool and the ERP

These are the right things for an MDG tool to make simple. The governance itself, the rigour of validation, the accuracy of the data, the reliability of the audit trail: none of those should be simplified away. Removing governance requirements is not simplification. It is a different problem wearing a simpler costume.

Three Things to Watch Out For When Evaluating Simple MDG Tools

The MDG tool market has responded to demand for simpler alternatives with a range of products, some of which have achieved genuine simplicity and some of which have achieved the appearance of it. These three evaluation criteria help separate the two.

1. Object coverage: how many data objects are genuinely supported?

The number of supported SAP master data objects is a commonly cited metric in MDG tool comparisons. It is also one of the most easily inflated. The standard set of SAP master data objects relevant to most organisations is well established: materials, business partners (customers and vendors), BOMs, routings, financial data, and a handful of others. Sixteen genuinely distinct, production-ready objects represent meaningful coverage.

Where object counts become misleading is when a core set of objects is subdivided into component parts and each component is counted as a separate object. A vendor claiming coverage of thirty or forty objects is not necessarily covering twice the ground of one claiming sixteen. The question to ask is not how many objects are listed, but how many of them are independently governed, production-tested, and in active use by real customers. Request a list of objects with customer references for each, rather than accepting a headline number at face value.

2. Product transparency: can you see the actual interface before you buy?

A well-designed MDG tool is demonstrated, not described. If an evaluation process involves extensive discussion of features, comparison documents, and capability lists but consistently stops short of showing the actual product in use, that gap is worth noting.

There are legitimate reasons to control how a product is demonstrated, particularly around data security and configuration complexity. But an MDG tool marketed on the basis of its usability and intuitive interface should be able to show that interface to a prospective customer without conditions. If the interface genuinely delivers on the UX claims, showing it strengthens the sale. If the demonstration is consistently avoided or heavily staged, that tells you something about the gap between the marketing and the product.

Ask to see the tool being used to complete a real governance workflow, end to end, on a realistic dataset. The willingness and ability to do that straightforwardly is itself an evaluation signal.

3. Simplicity of use versus simplicity of capability

The most important distinction in the simple MDG category is between tools that are simple to use and tools that are simply limited. The first is a product achievement. The second is a product constraint that becomes visible after implementation.

Signs that simplicity is covering for limitation rather than delivering on it include: governance processes that cannot handle edge cases without manual workarounds, mass processing capabilities that cap out at volumes too low for real enterprise data operations, limited ability to customise validation rules or approval workflows beyond what the vendor has pre-configured, and poor handling of the complex data relationships that exist in real SAP landscapes such as cross-system dependencies, multi-plant material structures, or the Business Partner consolidation required for S/4HANA.

The test is not whether the tool works for simple governance scenarios. Most tools do. The test is whether it works at the volume, complexity, and pace your business actually operates at, and whether the simplicity you experienced during evaluation holds up twelve months after go-live.

What Simple MDG Done Right Looks Like

Maextro was built to deliver the first list above, not to make the mistakes in the second. The distinction shapes everything about how it was designed.

On object coverage: Maextro supports 16 production-ready SAP master data objects, each independently governed and in active use across enterprise customers in manufacturing, retail, distribution, and financial services. The count is honest. Every object listed is a genuine, fully supported governance domain, not a subdivision of a smaller core set.

On product transparency: Maextro is demonstrated directly. The interface is built on SAPUI5 and designed to be intuitive enough that business users can operate it without training overhead. It can be shown working through a complete governance workflow on real data, because that is what it was built to do.

On capability: Maextro supports unlimited mass processing, which matters in high-volume environments and is particularly relevant for organisations migrating to S/4HANA where large-scale record creation and amendment is a project-phase requirement. Business rules, validation logic, and approval workflows are configurable without code by business users operating within IT-defined guardrails. The governance is not simplified away. The access to it is.

The target was a tool that an experienced SAP customer would evaluate seriously and a business user could manage daily. Those are harder to achieve simultaneously than making something simple by reducing what it does.

How to Evaluate Any MDG Tool Claiming Simplicity

The following questions cut through surface-level feature comparisons and get to what matters for a live, enterprise deployment:

• How many genuinely distinct data objects are supported, and can you provide customer references for each one in production use?
• Can you demonstrate the tool end-to-end on a realistic dataset, without staging or conditions, before we proceed to a commercial conversation?
• What are the mass processing limits, and how does the tool perform at our data volumes?
• How are business rules and validation logic configured? Can a business user make changes without IT involvement, and what are the guardrails?
• How does the tool handle the Business Partner consolidation required for S/4HANA migration?
• What does the governance look like twelve months after go-live, specifically: who is managing it, how often do rules need to change, and what does that process involve?
• What is the total cost of ownership over three years, including implementation, any specialist resource required, and ongoing maintenance?

A vendor confident in their product answers these questions directly. The answers, and the willingness to answer them, tell you more than a feature comparison document.

Find Out What Maextro Can Do for Your MDG

If you are evaluating MDG tools and want to see Maextro demonstrated on your specific data objects and governance requirements, the quickest way to understand what it can do for your organisation is through the Maextro ROI calculator or a direct product demonstration.

Now check out our guide on comparing existing MDM software available right now for a wide view of the MDM market.