Effect and Impact of Data Modelling on Application Development

Posted on March 9, 2020
Kevin Bell

Today mobile applications have become an integral and necessary part of our lives. Our mobiles have an array of applications that have made our lives so much easier and simpler. Applications today have gained a lot of popularity and are becoming more and more advanced every day. Applications are now being designed and developed to include artificial intelligence and features and characteristics to make the user experience even more enhanced. But what does it take to build and design these applications?

Let’s look at the technology, techniques and development programs involved in building and designing applications.

 One technique that plays a vital and pivotal role in application development is data modelling program and techniques.

All you need to know about Data Modelling

Data modelling is nothing but analyzing, processing and defining data that is required for the application. The main function of data modelling is to program data in a manner that is reliable and predictable which in turn can be used as a tool to build the application.  To simplify data modelling techniques and to understand what data we need for our application to be designed effectively we need to have the following information available

  • Application workflow and design to be outlined
  • Questions and queries that would come up
  • Determine the key features and characteristics of your application
  • Right data and information types to achieve maximum efficiency

Data modelling allows you to store your data in a structured and formatted way, this in turn will allow you to effectively use and develop your application in a systematic manner.

Why is it important to have a Data Model in place?

  • It provides a structured format of the data, that can be easily used and developed into an application.
  • A clean and clear representation of data reduces redundancy and error and allows for a detailed and in-depth analysis of data.
  • Data modelling allows for improvised and quality of data and allows for the application to be designed in a more structured format.

Applications success depends on how the data can be used as resource to build develop and design the application, therefore it becomes important to use the right and appropriate data base formats that give the desired output for the application

Some of the popular and successful data base formats for your android and iOS applications are MySQL, Redis, MongoDB, Memcache, InfluxDB and PostgreSQL.

 Data modelling techniques:

Data modelling techniques is important as it helps you to store data in structured and formatted databases and use this data for further research and scope to improvise the application.

The three types of data modelling techniques include:




Conceptual Data Modelling

This is nothing but your basic concept of what need your application is going to fulfill, the primary features and the reason of why the application is being designed. The reason for this is to narrow down what data you require and how best to organize the data. It also helps you decide on what data bases you need to support your application.

Logical Data Modelling

 The data bases used to organize the data, the software required to build the application, who the end user of the application is and how the final application will look and function. It defines the elements of the application and defines the roles of each element in relation to the other.

Physical Data Modelling

The prototype of the application, how the outcome of the application is, what features of the application will go where and how the application will function when it goes live.  It gives a virtual representation of how the application will look and function.

Once you have decided on the data model, it will help you decide the right data base to store data based on the requirements of the application your building.

Action and Reaction

To design and develop application a lot of time, data, research and financial investment is involved. Applications are created to fulfill a demand, in order to fulfill that you need to have the data. Having data is not enough, structuring and organizing and storing the data is an integral process to successfully design an application. Therefore, it becomes extremely crucial to ensure that the data is formatted and stored appropriately to be beneficial to designing a productive application. applications are subject to change and this will affect the data bases hence its important to choose and utilize the right data modelling techniques to successfully incorporate these changes.