Modeling

Data modeling is the first step in managing data as a resource, as it defines how data integrity is ensured throughout an organization. During this initial phase of creating a new information system, PARC will:

• Gather requirements from all business stakeholders
• Align the requirements with the applicable business processes
• Translate the initial data model into a logical data model, and convert it to an actual database design
• Document the data and how it will be implemented in the database

Architecture

Data architecture is the all-encompassing map of a business from a data perspective. It defines the target state of how data will be processed and stored.

PARC’s data architecture capabilities allow us to efficiently create a roadmap that documents the storage of data, including how data is moved between systems. The technical design phase of a project ensures that all new applications comply with the overall data roadmap.

Transformation

Data transformation is a set of tools and procedures that connect disparate but related data found in multiple systems. Utilizing the information from the modeling and architecture steps, PARC will design a data integration application to meet the needs of the business.

Throughout the process, we place significant emphasis on maintaining the integrity of the data, as this is the key to successful data transformation, and ensures that any assumptions made concerning the source of the data are well founded.

Warehousing

Storing data in a format that allows quantities of data to be selected for analysis or reference and reporting purposes is what warehousing is all about. PARC uses the latest technologies to build the proper interconnection rules to facilitate the desired offline access to data needed by our clients.