Data Mapping and Modeling (as part of a data architecture strategy) allow business to understand and document the data as it exists in the enterprise and the systems that make it up. Without a data modeling approach systems develop into silos of applications and the data within them is not unified and rationalized.
This is very costly and wasteful as the end result is a collection of systems of slightly different data spread across a series of dysfunctional business processes and procedures. It also means that businesses have to expend a significant about of resources cleaning up, transforming and correcting all those copies of the data in order to get a view of the business being supported. netlogx data architects rapidly and systematically map data by gathering an inventory of enterprise data. They then work with the business owners to classify and document the inventory elements. This is an exercise in vocabulary standardization as well as data rationalization. From this work they are able to develop data models that the business owners can understand and navigate. Once this point is reached netlogx data architects will also assist businesses by developing data flow and transformation documentation, which greatly assists in improving data quality. Overall the process is as follows:
- Systematically map data by gathering metadata
- Build an inventory of important data and data usage
- Development of vocabulary and classification management
- Drive integration through data modeling
- Assist analysts with capturing requirements for data movement
- Improve data quality
Through data modeling businesses are able to:
- Organize their information assets into an enterprise data model that the business can understand and navigate
- Create a standard vocabulary, which both the business and IT can use to communicate more effectively.
- Employ data modeling solutions that projects can reuse to accelerate development and improve quality.