Saisystems Technology conducts data analyses to review a type of data gathered by a business with the goal of viewing different elements and evaluating trends or patterns from disparate data sources.
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
Our clients have realized reduced data redundancy, improved operational performance, and increased ROI due to the advanced insights provided by data modeling. With customization available from skilled developers, value-add features are available to tailor services to each individual need.
Gather disparate data sources and reveal consumer trends.