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This video introduces the basics of datamodelling. Datamodelling is fundamental to creating a business level data architecture. The business view is of course highly simplified; we are trying to explain datamodelling, not the business of insurance. Introduction. Policy type.
Levels of business analysis. This article considers 3 levels of business analysis. Strategic : Business transformations; Portfolio management; Businesschange; Business architecture and Target operating models; Business agility; Benefits realisation.
Teams can enhance workflows using end-to-end data lineage tools in various ways: Datamodeling: Enterprises must define underlying data structures to visualize different data elements and their corresponding linkages. For example, changes in data element names can affect dashboards and user access.
Often they would use techniques like business process analysis , making sure they understand the business workflow and the problem to be solved. And then a variety of different datamodeling techniques that articulate how information is stored and flows through the software systems. Use cases , wireframes , user stories.
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