raHeye's data modeling experts work with clients to create a complete data architecture road map that is foundationally based on best practices, industry standards and latest proven techniques.

We focuses on a strong data modeling approach based on well-defined standards, practices, and techniques to form a comprehensive data architecture roadmap. This structure provides your enterprise with a strong methodology to model data in a standard, consistent and predictable way that enables you to utilize data as a corporate resource while also being able to freely adapt to the changing environment.

By developing data models at different levels,raHeyes’s professional data modelers capture the requirements of the business as they are provided. This strategy leads to physical data models that are integrated, consistent, reliable, and usable by all levels of the enterprise.

The modeling of data is the first step in database solution design and development so that relationships between data objects can be studied. The data modeling presents a visual representation of data, data sets, relationships and organization.

Data Model Level Types

Conceptual - Defines the business problem that is in need of being addressed. It includes entity relationships and is typically developed first

Logical - Essentially the solution to the database project. Leveraging the findings from the conceptual data model, the logical data model provides the foundation for the construction of that database.

Physical - After the logical data model is planned and designed the physical data model is then developed, implemented and integrated. Our data modelers also develop integrated data models that provide the bridges necessary to enable the data architecture strategy to prepare, convert, and connect the islands of application data and integrate them into a unified data pathway. This integration supports a streamlined data warehouse and reduces redundant applications, freeing up resources to provide faster responses to evolving data requirements in both structured and unstructured data.