Low-code blog | eSystems

Keep the Core Clean: MDM Strategy and Governance

Written by Mika Roivainen | Sep 25, 2025 7:43:02 AM

When the data running your business systems is incomplete or inconsistent, every process is affected. Errors spread across finance, supply chain, sales, and HR, which means more time spent fixing problems instead of moving forward. According to Gartner, poor data quality costs organizations an average of $12.9 million each year.

This shows that data mistakes are not just technical issues. In other words, the lack of accuracy and control in your core systems directly turns into financial loss. And while the risks are high, the opportunity is also clear. A Forrester study found that organizations applying strong master data governance achieved $2.8 million in savings over three years, proving that structured management of data pays off.

Every duplicate entry, unauthorized change, or broken integration adds weight to your operations and makes growth harder.

Because of this, the focus should be on keeping the core clean. That means your systems need a clear Master Data Management (MDM) strategy supported by strong governance. 

Together, they ensure your core remains simple, standardized, and upgrade-ready rather than complex and costly.

This article is all about how MDM strategy and governance work together to help you keep the core clean.

Read our article “What is a Clean Core Approach?” to understand the key ideas behind the Clean Core Approach.

What Does Keep the Core Clean Mean

The core of your system is the foundation that runs daily operations. It includes your master data, such as customer, supplier, employee, and product records. 

It also covers the processes that manage these records, the integrations that connect different applications, and the system operations that keep everything running.

A clean core means this foundation is current, standardized, and consistent. Your records follow the same formats, processes follow uniform rules, and integrations work on predictable structures. 

A clean core is also free from unnecessary customization. Instead of altering the software code directly, you use external tools or approved extensions that don’t interfere with the original system.

For instance, if you need to add new product attributes, you extend the system through an external service rather than rewriting the software itself. 

This way, the main system remains unchanged while still meeting your business needs.

Why Keeping the Core Clean Matters

1. Business value

When your core is clean, your organization operates more efficiently. Standardized processes reduce manual work and allow faster response to changes in the market. 

You’ll also lower costs by avoiding duplicate efforts and reducing errors that come from inconsistent records.

2. Technical value

A clean core makes upgrades more straightforward. Your IT team doesn’t spend time reworking custom code every time the software is updated. 

Lower technical debt means resources can focus on supporting new capabilities rather than fixing old issues. 

Stable integrations also reduce downtime, since your systems exchange information in a consistent way.

3. Data value

Clean master data ensures accuracy across all your systems. A customer record created in your sales platform will match the same record in finance and supply chain. 

This consistency allows you to trust the information used in reporting and compliance. It also reduces the risk of decisions based on incomplete or conflicting data.

MDM Strategy for a Clean Core

A master data management (MDM) strategy is the plan your organization uses to control how master data is created, stored, shared, and maintained across your systems. 

In this context, the goal of the strategy is to keep your core environment clean. That means your customer, supplier, product, and employee data is consistent and reliable, no matter which system you’re working in.

There are a few key pillars that make up this strategy.

Consolidation of master data

You bring data together from different systems into a single source of truth. So instead of having customer information spread across sales, finance, and supply chain separately, you combine it in one central repository. 

This reduces duplicates and makes sure all teams work with the same record.

Standardization and harmonization

You apply common formats and rules to your master data, which means fields like addresses, product codes, or cost centers follow the same structure in every system.

Harmonization ensures that even if two systems describe the same data differently, the values are aligned before use.

Data enrichment and cleansing rules

You set rules to clean and enrich data at the point of entry and during ongoing operations. 

For example, a supplier record missing a tax ID gets flagged and corrected before it enters your workflows. 

Cleansing rules prevent errors, while enrichment adds missing details to make the record more complete.

Workflows and stewardship

You define who in your organization is responsible for creating, approving, and updating master data. 

In other words, you set up clear workflows so data changes are reviewed before they’re applied. Data stewardship ensures accountability and prevents unauthorized or inconsistent updates.

APIs and interoperability

You use APIs to allow master data to move across systems smoothly. This means your sales, finance, and HR systems can pull the same customer or employee record in real time. Interoperability ensures that your clean core isn’t isolated but connected across your IT landscape.

eSystems supports you in building this strategy. Through our MDM foundation, you’ll get the architecture, data consolidation tools, harmonization capabilities, APIs, and enrichment rules you need for a clean core. 

With MDM Strategy Consulting, you’ll get guidance on prioritizing which data entities matter most, designing your business case, and setting up the rules and processes that keep your systems standardized and upgrade-ready.

Governance Framework for a Clean Core

Governance acts as the guardrails that keep your core clean over time. It gives your system clear rules so that data, processes, and integrations remain consistent.

In governance, roles and responsibilities are well defined. You’ll have data owners who set direction, data stewards who manage daily updates, and committees that resolve issues.

Policies guide how data is created, changed, and shared. This means every update follows rules for quality, authorization, and accountability before it enters your system.

Monitoring is a continuous part of governance. Reports, audits, and impact analysis show you where data breaks the rules and where corrections are needed.

eSystems supports you in this work through MDM Operations. With workflows, harmonization routines, and reporting tools, you’ll enforce governance in practice instead of relying only on written policies.

Benefits of a Clean Core with MDM and Governance

A clean core makes your system upgrade-ready. You’ll reduce complexity because the core isn’t cluttered with custom code or inconsistent data.

Reliable data supports better decision-making. It also helps your organization meet compliance requirements since records are consistent across systems.

When your processes use standardized master data, operations run more smoothly. This harmonization means different teams can work together without fixing or reconciling conflicting records.

In fact, a Forrester study found organizations using master data governance saved $2.8 million over three years by reducing manual corrections and duplicate cleanup, showing how efficiency gains translate directly into cost savings.

You’ll also gain flexibility with legacy systems. Clean data and clear governance allow you to modernize parts of your environment or retire old systems without losing control.

Trusted master data improves experiences for both customers and employees. So when your sales team views a customer record or your HR team reviews employee data, they’re both working with the same accurate information.

How to Implement a Clean Core MDM Strategy

Identify and Consolidate Master Data Sources

The first step is to bring all your master data together. Customer, supplier, product, and employee records often live in different systems, which means they can easily become inconsistent. 

By consolidating these records into a single source of truth, you’ll remove duplicates and unify scattered information. As a result, your teams will stop working with conflicting versions of the same record. 

eSystems supports this through its Harmonization Orchestrator and Repository, so your organization has one consistent base of data to drive operations.

Apply Curation and Cleansing Rules

After consolidation, you need to curate and clean the data so it follows consistent standards. In other words, you make sure every record has the right details in the right format. 

For example, if a supplier record is missing tax details, cleansing rules fill that gap before the record enters your workflows. 

eSystems provides the MD Catalogue and enrichment tools to automate these tasks, which means every record entering your system is complete and ready for use.

Establish Workflows and Authorization Controls

Governance is applied by assigning clear responsibilities for data updates. Workflows define how new records are created, approved, and changed, so you avoid uncontrolled edits. 

That’s why authorization controls are important; they ensure only approved roles can alter sensitive data, which keeps accountability clear. 

With the eSystems Management Console, you’ll create workflows that enforce ownership while preventing unauthorized changes. This way, your system runs on disciplined data practices that sustain a clean and reliable core.

Synchronize Data Across Systems

Even after consolidation, your systems still need real-time synchronization. Otherwise, a customer record updated in sales may not match the one in finance. 

This means every connected system must use the same accurate record without delay. eSystems provides MD API services to support this, so master data moves seamlessly between applications. 

As a result, your integrations stay stable and errors in reporting, billing, or supply chain activities are reduced.

Monitor Data Quality with Reporting and Impact Analysis

Data quality isn’t a one-time activity; it needs continuous oversight. Reporting tools track the state of your data and highlight where quality issues exist. 

Impact analysis then shows you how poor records could affect processes like billing or compliance. For instance, a missing tax ID in supplier data can block payments or audits. 

With eSystems Operations, you’ll monitor harmonization, workflows, and exceptions in real time. This way, you can correct errors before they spread and protect the integrity of your core.

Consider Outsourcing with MDM as a Service

Managing all MDM processes in-house can be resource-heavy. Because of this, many organizations look for alternatives. 

One option is MDM as a Service, where both the foundation and operations are managed for you. This approach reduces the need for large internal teams and simplifies setup. 

eSystems offers MDM as a Service either on its own infrastructure or in your environment. In turn, you’ll keep your core clean without overloading your IT resources, while still maintaining full control over the outcomes.

Conclusion

Keeping the core clean comes down to disciplined management of your master data and the governance that sustains it. 

When you consolidate, standardize, and monitor your records, your systems stay simple and upgrade-ready. Clear roles and policies prevent uncontrolled changes, while consistent data flows across every application. 

In the end, a clean core means fewer errors, smoother processes, and reliable information that supports both operational efficiency and long-term business growth.

About eSystems

eSystems helps organizations manage master data with the discipline needed to keep core systems reliable and upgrade-ready. We believe that when your data is consolidated, enriched, and standardized, your business can avoid unnecessary complexity and maintain systems that are easy to govern.

We use a five-step approach: identify data sources, curate data, apply workflows, drive harmonization and synchronization, and enable reporting

Each step supports the principle of a clean core by ensuring master data is accurate, consistent, and accessible across all applications.

Our MDM Foundation builds the architecture and consolidation methods your systems need, while our MDM Operations service maintains daily governance through workflows, harmonization, and reporting. 

For organizations looking for a managed model, we provide MDM as a Service, combining foundation and operations into a complete package. 

With MDM Strategy Consulting, we also help you prioritize entities, define rules, and design a roadmap for long-term governance.

A clean core doesn’t happen by accident. It’s the result of strong data management and consistent governance working together. If you’re ready to take control of your data and keep your systems efficient and upgrade-ready, now’s the right time to get started with us.

FAQs

1. What is a Master Data Management (MDM) strategy?

An MDM strategy is a plan for how your organization creates, stores, and manages key data like customers, suppliers, and products to keep it accurate and consistent across systems.

2. Why is data governance important for MDM?

Data governance sets the rules, roles, and processes that keep your master data reliable and consistent. It ensures accountability and prevents errors.

3. How does a clean core reduce system complexity?

A clean core removes unnecessary customizations and keeps data standardized, which makes systems easier to manage and upgrade.

4. Who should own master data in an organization?

Master data should be owned by data owners and managed daily by data stewards, with clear governance committees to oversee decisions.

5. What are the common steps to implement MDM successfully?

The common steps are identifying data sources, curating data, applying workflows, harmonizing and synchronizing records, and enabling reporting.