Data Transformation and Validation Solutions are the activities needed to structure data into a format that is suitable to be used by the sender or receiver of the data, and to ensure that any data that is sent or received is validated against a set of requirements to ensure its proper context. The data is initially provided in its source state and then transformed into its destination state. The source state of the data may be unstructured or it may be structured data – containing a defined context. In either case, it is necessary to identify the transformation requirements in order to achieve the desired destination state of the data.

Data transformation requires capturing all of the necessary data context, data content, and transformation rules necessary to properly structure and present the data as anticipated. The quality of data transformations is dependent upon clear transformation specifications. Without them, your data transformations are at risk, which can provide a cascading domino effect on the quality of information passing through your systems.

StoneDonut utilizes tools within their Xecute delivery framework to properly capture transformation requirements to ensure that the quality and reliability of your information remains intact. Please contact us for more information on our Data Transformation Solutions.