Transformation is the process by which OmPrompt analysts prepare executable code for use in the Transaction engine.

OmPrompt Automated Mapping is based upon self learning ontology based semantic recognition. Transformation has six steps:

1. Analyse Message Samples

The client provides message samples (past and present). The system analyses these to produce a syntax structure.

2. Conduct Data Profiling

Data profiling analyses the message samples. It produces:

a)	an accurate representation of the sample message at both segment and element level, including looped structures.
b)	an analysis of data values. This helps the system in the mapping process.

3. Define Syntax Structure

We use a library containing the syntax of:

a)	all known message standards.
b)	all other message formats that the system has processed previously.

We run data-profiled messages against the Library to define a syntax structure. If this is a new message format, we derive this structure.

The system then validates that both message structure and data values are compliant before deriving the syntax structure for the sample messages.

4. Produce Maps

With the syntax structure and using proprietary algorithms, the system combines a series of inputs such as Mapping History, Value History and Semantic Knowledge to produce mapping deductions - automatically.

5. Define Process Flow

This adds process logic to maps, automatically if the process logic is known, and using the OmPrompt transformation tools.

6. Test Process Flows

An analyst from the OmPrompt Integration Group reviews, edits, then accepts the process flow which allows the automatic generation of executable code for testing and confirmation by Trading Partners.