Data Modelling as Part of App Development
The diverse multitude of databases, data types, applications, and no SQL data stores frequently makes the use of data obscure, inconsistent, and inefficient. It makes companies’ decision-making unreliable and limited.
In turn, this state of affairs very significantly complicates application design. It becomes a great deal more difficult for those looking to develop enterprise software to take into account all the necessary data requirements. They typically have trouble coming up with a viable data model for their apps-to-be. The problem is in no way alleviated when a company wants to develop a major software application by using an advanced software development approach, such as, for instance, low-code development.
One of the biggest shortfalls we have observed among no-code vendors and non-technical entrepreneurs is their inability to model the business problem they want to solve from a technical perspective. We call this the “data modeling problem”. This problem consists of several items, including but not limited to database design, assignment of responsibilities to various moving parts of the solution, and identifying points of integration, such as API services and the corresponding endpoints. Most of these tasks are performed in the backend of a solution that is typically hidden from the UX perspective. As a result, these come as a foreign and not a natural set of tasks. Quite often, these tasks are overlooked, which is a risky step, as it is likely to impact the system’s performance, future growth, and maintainability. Unlike most of our NoCode and Low-Code competitors, we have two clear-cut Data Modeling advantages.
The first of these advantages is our feature-rich out-of-the-box backend we have adjusted and used to implement several different data models. This backend is already well-suited to support the more widespread high-level data model enterprise applications use.
Our second advantage is our IT consultants’ vast data modeling experience from our previous enterprise project engagements. We have created multiple data models and API service layers for a diverse range of verticals and business situations. Our experts know how to collect data requirements. They take into account the client’s business rules, various types of data, and data items. They identify various data points by taking the UI first approach and creating a well-calculated data model that enables your app’s efficient use of data, including customer data.
If you are on the lookout for a Data Modeling-savvy provider of enterprise app development, we are here to help. Our IT consultants can capture your data flows, determine your data model’s main focus, create a conceptual data model, and then implement your data model as a concrete database design.
It is also worth mentioning that we can provide important complementary expertise in the development of highly usable and secure API integrations.