Successful implementation of consenso Intelligent Data Modelling (iDM) at GLOBUS

With the solution presented here, GLOBUS Markthallen received the EHI Retail Institute’s reta Award 2026 in the “Supply Chain Excellence” category. As the technology partner, we are therefore entitled to use the title “Top Supplier Retail”. The award recognises the value of our collaboration and the innovative achievements of the project. Read more about the award...

High-quality master data – largely automated and fully integrated into SAP

With consenso Intelligent Data Modelling, GLOBUS uses a largely automated, fully SAP-integrated solution for data quality. More than 100 implemented rules check millions of records every day and can automatically correct several thousand of them.

Challenge: Increasing data volumes and complex master data quality requirements

Master data quality forms the foundation of GLOBUS’s business processes and is essential for a smooth-running supply chain. In the past, GLOBUS Markthallen Deutschland used an established tool to ensure data quality. However, as data volumes grew and requirements became more complex, the tool increasingly reached its limits.

Insufficient integration, limited scalability and a high level of manual effort led to process delays and an increased workload for business departments as data validation volumes continued to rise. Processing data through Excel downloads and uploads resulted in disconnected workflows, inefficiencies and a greater risk of errors.

The solution also lacked flexibility: it was limited to article master data, operated in weekly cycles and provided only static analyses.

Requirements for a modern SAP master data solution

For GLOBUS, it was clear that a new, high-performance data quality solution was needed. The requirements included:

  • A comprehensive view of all relevant SAP objects (master and transactional data)
  • Multiple data validation and correction runs throughout the day
  • Flexible ad-hoc analyses
  • Integrated and largely automated data corrections

These requirements were met by Intelligent Data Modelling (iDM), a consulting solution developed by implementation partner consenso.

Project objectives

The project to introduce iDM was initiated with the following objectives:

  • Replace the existing tool for ensuring article data quality
  • Introduce a largely automated, fully SAP-integrated solution without disconnected workflows
  • Extend quality checks to all relevant master and transactional data
  • Reduce manual effort, significantly lower error rates and shorten processing times

The solution: SAP-based data management with iDM

The fully integrated consenso iDM solution is based on proven SAP standard technologies and harnesses the capabilities of the SAP HANA database. The modular framework supports the entire master data management process – from creating new records and ensuring data quality through to automated corrections.

The implementation was successfully completed in just four months by a joint project team comprising two consenso consultants and four to five GLOBUS employees.

Migration of existing rules and introduction of flexible master data checks

In the first step, all existing validation rules were migrated to the new system. GLOBUS particularly values the high level of flexibility the solution now offers: through a user-friendly, mobile-optimised SAP Fiori interface, business departments can independently create new data quality rules without any programming.

Automated corrections and efficient error handling

The second step involved implementing the appropriate correction logic. Incorrect data is now largely corrected automatically. Any remaining errors are displayed in the central SAP Fiori dashboard, from which employees can navigate directly to the relevant transactions in the target system – significantly improving efficiency in day-to-day operations.

Measurable results: Higher data quality, less effort, greater efficiency

In live operations, the new iDM solution delivers reliable performance, efficient resource utilisation and noticeably improved data quality:

  • 30% of errors are already corrected fully automatically in real time.
  • Manual effort has been reduced from three days to just one.
  • More than 100 implemented rules can check millions of records every day and automatically correct several thousand of them.
  • GLOBUS employees now benefit from a modern, automated solution for master data quality – fully integrated into SAP and future-ready.

Outlook: Further development of SAP data management at GLOBUS

The successful completion of the project marks just the beginning. The iDM framework will be gradually expanded and fully integrated into GLOBUS’s SAP S/4HANA landscape in the future.

Planned enhancements include:

  • Integrating additional relevant SAP objects, such as Business Partners
  • Using GenAI to automatically complete missing master data
  • Enabling suppliers to gain transparent insights into the quality of the data they provide

A big thank you!
We would like to sincerely thank everyone involved for the collaborative partnership throughout this exciting and successful project. We look forward to taking the next steps together.

About GLOBUS

The history of GLOBUS, based in St. Wendel in Germany’s Saarland region, dates back to 1828. Since then, GLOBUS has grown into one of Germany’s leading retail companies and remains a sixth-generation family business.

The GLOBUS Group operates more than 60 hypermarkets and 88 DIY stores in Germany, as well as 16 hypermarkets and two GLOBUS Fresh stores in the Czech Republic and two DIY stores in Luxembourg.

Master data management with consenso

From analysing your data quality and defining flexible validation rules to automated corrections: together, we develop an SAP-integrated data management solution tailored to your requirements.

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Published on 6 January 2026 | Updated on 23 February 2026 | Photos: GLOBUS Markthallen Holding GmbH & Co. KG, St. Wendel