​Data Architecture

A robust, scalable and extensible data architecture that supports the required capabilities of the organization is the foundation to any centralized data environment. It is the vehicle that delivers trusted data to business users, and it is the “blueprint” for the centralized data environment. Edgewater’s data architecture experts provide guidance in all aspects of data warehousing and business intelligence, based on the combined years of experience of our consultants in designing and implementing data warehousing and business intelligence solutions.

The overall data architecture is a series of interconnected technical frameworks. Edgewater’s approach to data architecture works for both Kimball and Inmon methodologies, as well as hybrid models.

 

Edgewater offers a comprehensive set of data architecture services including:

Data Architecture Assessment

>Edgewater can review and provide recommendations regarding existing data architecture and their ability to support current and anticipated long-term needs of the organization. These assessments are focused on the ability of the data architecture to support the business intelligence requirements of the organization.

Data Architecture Strategy and Roadmap

Whether an organization is in the initial stages of the transition to a centralized data environment or is considering a remediation of a current environment, a data architecture strategy is critical to success. Having a clear understanding of the end state architecture and the path to get there ensures that the resources expended are well used and continually focused on the end goal.

Advisory/Implementation Services

Often, an organization requires expertise in an area that they don’t currently have in-house. Edgewater’s data architecture consultants are well versed in all aspect of data warehousing and business intelligence architecture including enterprise data modeling, business intelligence architectures, and master data and metadata architecture frameworks. They can act in an advisory/mentoring capacity, as well as dive into the intricate details for logical and physical data architecture design and implementation.