Data Modeling and Analysis
We begin with a collection and analysis of existing data and infrastructure to drive the design of future systems. Our careful mitigation of these processes ensures minimal user impact, allowing business operations to continue during critical project phases.
Based on the client’s industry and requirements, inputs contribute to functional specifications that guide data modeling. We typically implement three types of modeling: conceptual, logical, and physical. Sample actions include:
Identifying entity types, attributes, and relationships
Applying naming conventions and data model patterns
Performing high-level conceptualization
Normalizing and denormalizing data