Data Transformation Design

There are often dozens of processes for loading, integrating, aggregating, calculating, validating, and preparing data for use by various sales operations applications. Database programmers are typically used to design these data transformations; however, when companies utilize technical resources to design these processes, they risk creating systems that are time consuming and expensive to implement and maintain.

Synygy’s approach to data transformation design requires no knowledge of database programming and is rooted in the concept of using data that has not been touched by upstream data processing programs. By extracting data directly from source systems and designing data transformation processes within Synygy’s data management application, implementations are done faster and cheaper.

Two of the biggest benefits of such a flexible approach to data transformation design are the ongoing accuracy of data and the consistency of data that is used across all of the sales operations applications. In addition, by eliminating the need for custom database code, Synygy enables companies to rapidly and easily redesign data transformation processes as source data and business requirements change over time.