DATA TRANSFORMATION
Data transformation involves the restructuring of data so that it conforms with the requirements of a particular system. It is commonly undertaken as a stage of a broader initiative such as data migration, but is also a process in its own right that supports a variety of data integration activities.

Datalynx provides specialist services and technology that deliver an effective data transformation capability. The Datalynx Data Xchange system can connect to a broad range of data sources including most databases and structured datasets such as delimited and XML files. Data is transformed and validated through the application of any number of business rules and can be output in variety of formats and structures.


Resources:



Data Transformation in Practice - Data Interchange
Data transformation is a key component of many of the data-related functions that support business activities.

When data is received from external sources such as suppliers, resellers, partners and associated business entities, it is typically in a format that cannot be readily used "as is". Additionally, organisations will subject external data destined for their internal databases, to a validation process as part of their standard data governance practices.

Datalynx Data Transformation and Validation: verifies the content of externally-sourced data to ensure it complies with your business rules; reports exceptions and; transforms data to the required structures and formats to work with your business systems.

A similar process is used when extracting data from internal systems for provision to other organisations with which you conduct business. Datalynx's agile data management technology helps to ensure that data you provide externally is accurate, correctly structured and fit for purpose.
© Copyright - Datalynx Pty Ltd - 2011.