Data Consolidation

Data consolidations seems to be the key for increasing efficiency and reducing IT costs, and companies are prompted to adopt such procedures. However, more often than not, the volumes of data that need to be processed are large, might be located in complex legacy systems that need special treatment, are of poor quality full of discrepancies and they lack the proper accompanying documentation for customized systems which leads to even more inconsistencies; the result of all these is for data consolidation to be a time consuming and often high-risk process.

Nevertheless, data consolidation is an important part of data integration practices, used for decreasing the project’s complexity, ensuring data quality and improved consistency, and reducing the time needed in order to meet new business needs by allowing for the taking advantage of newer technologies.

TM can address the aforementioned challenges with a single, easy-to-use development environment that then generates platform-independent, open Java code, and which stands out due to:

• Its ability for loading, accessing and reviewing of virtually any historical system’s meta-data through the common graphical user interface in TM.
• Built-in features to discover the content, structure and quality of data in all systems and the re-use of those findings in the transformation process.
• Sophisticated transformation capabilities with built-in data cleansing and validation to ensure data and business rules are adhered to.
• Complete regression test suites to compare and maintain the solution.
• Highly productive and comprehensive team development environment including test and debugging tools with automated documentation, versioning and full audit trail, enabling disparate and geographically dispersed teams to work effectively and rapidly.