Informatics Value Chain
Data is not static. It typically moves through a series of stages and often gets transformed in the process. The Informatics Value Chain can be visualized at a number of levels. At the data level we have identified four primary stages: Raw Data, Processed Data, Interpreted Data, and Assembled data. Different Informatics applications are involved at each stage and as data moves up the value chain, the links to the supporting data become more and more critical and more and more challenging.

Informatics Data Integration
Megaware can help you design a Data Integration Strategy based on your business rules that automates the flow of data and provides interoperability between systems. Based on our broad experience, we can recommend technologies and help you implement an Informatics Strategy that puts the right data in the hands of the right people at the right time and maintains those critical links to the supporting information from anywhere in the chain.

Business Process Integration
Another way of looking at the Informatics Value Chain is from the business process point of view. In this case, the value chain is driven from the user workflow. Based on where the user is within the workflow application, data is pulled from the appropriate underlying Informatics applications. For this type of Informatics business model to work, a Data Integration Strategy must already be in place. At the Data Integration level, the links between data sets as they are transformed, interpreted and assembled are critical for maximum efficiency and defensibility for both Intellectual Property and compliance. The workflow application reflects the defined business process.