DATA MODELING & DESIGN

The aim of data modeling is to collate consistent data by having very clear definitions and structures, ensuring that the data can be accessed and shared by different applications and different parts of the organization rather than being trapped in a silo.

 

Once data is organized into a state that ensures the business is not constrained by its own IT due to software inflexibilities, effective data modeling enables businesses to change because the data foundation has standards, consistency and is predictable.

Getting this right early in a project not only brings the aforementioned flexibility to an organization, but it also reduces the maintenance cost that poor data structuring induces. The right model means that data can be shared with other software, departments and with outside partners.

 

The Nirph Software data team is very experienced in both the theoretical and practical aspects of modeling data, but we are essentially a pragmatic company and prefer to move from theorizing to actually deploying solutions.

 

The Nirph Software data team is very experienced in modeling data and can discuss the deepest theoretical concepts down to most granular level of detail with any technician, but we are a company that does, a company that builds, and we like to move from theorizing to actually deploying solutions. Nirph is by nature a very pragmatic group, perhaps with a dose of cynicism thrown in and we believe that it is important that the business receives the benefits of expert data modeling promptly. Data modeling can become very academic and theoretical to the point that it becomes very interesting to IT departments and no longer about finishing deliverables that can be used by the business.

 

Data belongs to the business and not to the software programmers or IT department. Data is a resource; a living process and it will change. If the modeling is done well then change is nothing to be feared.