ADTransform, the Artifact Data Transformer, is a end-user friendly, lightweight, configurable ETVL (export, transform, validate and load) connector that sits in the workflow between two or more information systems (e.g: an HRIS system and an LMS), converting data from one system to fit the import requirements of the other.
t can also sit in the center of a data acquisition process where it collects data from various sources, transforms them, merges them and validates the data before outputting the results in formats that are required for further processing (AI data gathering).
ADTransform has a plug-in architecture that is configured to accept data, to transform it to meet a set of requirements, to validate the resulting data streams and to output the resulting data in the desired format.
It is dynamically configured so that any combination of tasks can be configured into it to perform many different types of data manipulation.
It can be used to take multiple data input sources, perform transformations, apply multiple validation rules to the resulting data structures before the data streams are output in the desired format.
ADTransform can produce reports, web page and dynamic charts from the data stores that have been created through the various transformations.
One of the main goals of ADTransform is to produce clear actionable error messages that a non-technical person can understand and use to fix errors in the data or the transformation processes.