Although some industries have special data integration needs, in the majority of cases, the problems encountered are the same.
Making totally different systems with unique data structures share data is a huge challenge. Extracting data from sometimes arcane mainframe systems into a staging database before a data validation and migration exercise is beyond the capability of many tools. It is in situations like these that we excel.
With more than a decade of experience and with a depth of expertise that is hard to find, we have delivered many successful projects based on our Transformation Manager (TM) Data Integration platform.
Our solutions address many areas of data integration, as shown below:
Application Integration - sharing data between applications in batch or real-time.
Disparate Network Connection - connecting a community of users on different systems.
Data Validation - ensuring the referential integrity of data.
Data Migration - moving data between systems as part of an upgrade or transition.
Data Consolidation - gathering data from multiple sources into a single format.
Traditional ETL - defining a process to manage the whole data integration project.