Development of custom database requires advanced planning that helps ensure database compliance with business needs. The development process involves a number of steps, such as Needs analysis, Scope statement, Conceptual design, and Physical design. Let's explore each of the steps. We also suggest that you use CentriQS customization solution to create and customize your corporate databases.
Carry out a business needs analysis
It is impossible to build house without having laid the foundation. The same way you can't develop a custom database for your company without knowing the business needs. A business needs analysis helps you explore current requirements of your company and figure out how a new database would help in meeting those requirements.
There are three main steps in analyzing business needs, including:
Estimate scope of work
After you have analyzed the business needs and identified the gaps to be filled in, your next stage is to determine the scope of your custom database development project. Your project scope will include a description of all individual jobs and tasks to be done within the project.
Take these steps to estimate the scope of your project:
Develop conceptual design
Now, your team can start the project from making a conceptual design that determines entities and their relationships relating to your business processes. ER diagram (Entity-Relationship diagram) can be used for this purpose.
In this regard, involve your team in doing these steps:
Create physical design
You need to put your conceptual design in practice. In other words, there should be modeled a physical design to describe how your custom database would be best deployed. For this purpose, you can use an object-oriented approach that allows specific database access and structures.
Do the following tasks:
With help of CentriQS Configurator customization solution you can put your database design in practice. In Configurator you can access your database to manage entities, set their properties, create workflows, add tables, create OLAP cubes, etc.