Dataset inconsistencies, corrupt key relationships and irregularities resulting from the use of different architecture models may have serious consequences. They will certainly cause problems when combining unconsolidated data from different source systems, if not before.
This is why data integration has been one of the largest challenges for IT departments for years. Standardized data integration architecture greatly eases these pressures. The architecture uses standardized interfaces, processes and methods to ensure that even heterogeneous environments can be maintained with a limited amount of maintenance effort.
We support you in the implementation of such an architectures through competence teams with extensive project experience, and through partnerships with major software providers. We will also advise you in other areas such as duplicate management, standardization, auditing delivery processes, matching and transfer of datasets. We also offer comprehensive consulting on the quality of your data.
An overview of our services:
Mark Schmidt,
Head of Applied Technology Research