One customer, five records? How to bring clarity to your master data

Business partner harmonization is a key tool for organizations seeking to improve their data quality in the long term whilst simultaneously making operational processes more efficient. In many organizations, business partner master data that has accumulated over time exists across various systems, formats and levels of quality. Due to differing maintenance processes, local requirements and a lack of standards, it is common for identical business partners to be created multiple times or maintained with conflicting information.

But there’s a better way: Business partner harmonization can be divided into two interlinked phases: duplicate analysis and the subsequent consolidation of the identified data records. Both steps are closely interlinked and require both technical expertise and a deep understanding of the business requirements from sales, procurement, accounts and other departments.

Customized duplicate analysis 

The goal of the duplicate analysis is to highlight multiple entries, variations in spelling and overlapping content, which often go unnoticed in day-to-day operations. DCS Analyze systematically scrutinizes existing business partner master data.

To achieve this, the tool utilises intelligent matching mechanisms that not only identify exact matches but also take into account fuzzy criteria such as similar names or addresses. This results in a very high match accuracy for potential duplicates. These are presented transparently and thus prepared specifically for business analysis.

Clear matching rules bring structure

A key factor in the success of duplicate analysis is the use of defined matching rules. These rules determine the level of similarity at which data records are considered duplicates and how borderline cases should be handled. Configurable weightings allow organizations to respond flexibly to varying data quality and business requirements. The results of the analysis are presented clearly and serve as a sound basis for decision-making regarding further harmonization.

From duplicate to Golden Record

Duplicate analysis is only the first step. The next step involves merging business partner master data using DCS Migrate. This results in what is known as the Golden Record: multiple data records are consolidated into a single Golden Record. This business partner represents the best version in terms of business accuracy and data quality and is defined as the leading data record. Attributes from various sources are adopted, supplemented or cleaned according to defined priorities in order to produce the most complete and accurate overall picture possible.

The merging process itself can be partially automated or carried out with manual support. Whilst straightforward cases are processed automatically, complex or critical data records can be specifically checked, edited and approved. This hybrid approach ensures that, on the one hand, efficiency gains are realized and, on the other, business control and responsibility are maintained. All changes remain traceable at all times. Everything is logged, versioned, and audit information is ensured.

It is not only the technical approach but also the organizational structure that plays a crucial role. Clear responsibilities for data owners and business units are necessary to achieve sustainable results. The business partner harmonization tool supports these governance structures by providing transparent workflows and approval processes.

Clean data, significant benefits

Business partner harmonization not only ensures order in master data but also delivers measurable added value for the entire organization. When business partner master data is consistent, the quality of analyses and reports is improved, errors in downstream processes are reduced, and risks in settlement and compliance are minimized.

Another benefit is increased customer and partner satisfaction, achieved through consistent communication and accurate processing. Harmonized business partner master data also forms an important foundation for digitalization initiatives and modern system landscapes. Areas such as process automation, self-service portals, analytics and the use of artificial intelligence benefit significantly from clean and consistent master data. Business partner harmonization is therefore an ‘enabler’ for future innovation and scalability.

Did you know? Data quality is still underestimated. 

More than one in four companies cite poor data quality as the biggest hurdle to transformation. This is shown by the 2026 Transformation Study by Natuvion and NTT DATA Business Solutions.

Implementing: What matters most?

Collaboration: In practice, it is clear that successfully introducing the tool requires close collaboration between IT and business departments. Involving users at an early stage, providing training and implementing clear communication measures are crucial to success. It is equally important to set realistic goals and define milestones. This allows harmonization to be implemented step by step without disrupting day-to-day operations.

Transparency: Typical challenges arise where data from different sources converges, special cases have accumulated over the years, and different departments each have their own perspective on a business partner. This is precisely where a business partner harmonisation tool creates transparency: it highlights discrepancies, brings different perspectives together and lays the foundation for a joint assessment. Step by step, this fosters a unified understanding of data quality – and a consistent view of the business partner.

Ensuring long term success: However, a one-off data cleansing exercise alone is not enough. It is crucial to safeguard the data quality achieved in the long term. Following the initial harmonization, clear mechanisms are therefore needed to identify new duplicates at an early stage and prevent them from arising in the first place. Regular monitoring reports, defined data quality metrics and clear maintenance processes help to keep the Golden Record permanently up to date and reliable. In addition, automated checks can be implemented as soon as new business partners are created, for example using the GLASSWING tool from NTT DATA Business Solutions.

Conclusion: A solid foundation for growth 

In the long term, investing in business partner harmonization pays off in many ways. It reduces operational effort, enables better decision-making, and strengthens collaboration across departments and systems. In doing so, companies create a solid foundation for growth, regulatory compliance, and a sustainable data strategy.

Business partner harmonization is therefore much more than a technical solution. It is a strategic approach to improving data quality, transparency, and efficiency. By combining thorough duplicate analysis with DCS Analyze, structured data consolidation with DCS Migrate, and clear governance principles, companies can sustainably improve their business partner master data – creating a strong foundation for lasting competitiveness.