Hall: Eingang Ost Stand-Nr.: EO61B Whether in electronic data interchange or in databases for product information, more and more knowledge is being stored and transmitted in structured data records. For example, companies receive e-invoices from their suppliers or record their customers' business orders in capturing processes. They provide product catalogs for integration into the procurement solutions of interested parties. And AI applications search for efficiency potential in the amount of information generated.
These processes have one thing in common: to increase the company's profitability and improve the customer experience, they rely on error-free data. This is where ambitious expectations often come up against a reality in which correction processes eat up some of the planned efficiency gains or applications do not deliver the desired benefits. There are many reasons for this. They range from typing errors when creating data records to the loss of information when converting data into another format.
Many companies are therefore launching projects and measures to improve the data quality behind their business processes. They are supported in this by the web platform Cargogear from the start-up Munich Data Quality. With its help, they can reduce the costs of correction processes in data interchange.
The platform enables both the manual checking of individual data records and the automated monitoring of data streams via API. The validations are based on four principles. Firstly, errors must be detected. The check algorithm detects structural, master data and logic errors. Next, the detected errors must be reported. Cargogear uses e-mails for this, which can be sent to one or more recipients. To ensure that the errors are not repeated, they must be explained in such a way that both IT and business process experts understand what changes need to be made. But it is only by measuring the error rate across data senders and interfaces that patterns become visible and the most serious sources of errors can be dealt with in a targeted manner.
Cargogear therefore complements and enriches ERP and EDI systems as well as data warehouses and capturing software. The aim is always to replace long meetings and time-consuming feedback emails on incorrect data with self-explanatory, automated reports. At LogiMAT 2025, Munich Data Quality will present the platform at the joint “Innovation made in Germany” stand of the Federal Ministry for Economic Affairs and Climate Protection. Interested parties can try out the validations for themselves and find out how the platform can be used in their system landscape.
These processes have one thing in common: to increase the company's profitability and improve the customer experience, they rely on error-free data. This is where ambitious expectations often come up against a reality in which correction processes eat up some of the planned efficiency gains or applications do not deliver the desired benefits. There are many reasons for this. They range from typing errors when creating data records to the loss of information when converting data into another format.
Many companies are therefore launching projects and measures to improve the data quality behind their business processes. They are supported in this by the web platform Cargogear from the start-up Munich Data Quality. With its help, they can reduce the costs of correction processes in data interchange.
The platform enables both the manual checking of individual data records and the automated monitoring of data streams via API. The validations are based on four principles. Firstly, errors must be detected. The check algorithm detects structural, master data and logic errors. Next, the detected errors must be reported. Cargogear uses e-mails for this, which can be sent to one or more recipients. To ensure that the errors are not repeated, they must be explained in such a way that both IT and business process experts understand what changes need to be made. But it is only by measuring the error rate across data senders and interfaces that patterns become visible and the most serious sources of errors can be dealt with in a targeted manner.
Cargogear therefore complements and enriches ERP and EDI systems as well as data warehouses and capturing software. The aim is always to replace long meetings and time-consuming feedback emails on incorrect data with self-explanatory, automated reports. At LogiMAT 2025, Munich Data Quality will present the platform at the joint “Innovation made in Germany” stand of the Federal Ministry for Economic Affairs and Climate Protection. Interested parties can try out the validations for themselves and find out how the platform can be used in their system landscape.
