3 Easy Ways to Overcome Data Redundancy

The repetition of the same information or data in the database will certainly have a big influence on the development of your business. This is known as data redundancy. Then, what are the ways to overcome data redundancy?

Through this article, AdIns will explain to you some of the ways to overcome data redundancy. But before that, let’s first understand the meaning of data redundancy.

What is Data Redundancy?

Data redundancy can be interpreted as duplication of data stored in different locations. This can happen in a database that is not well structured so that there are unintentional errors in entering information into the system.

The database in your company can certainly be accessed by various parties and not only one person can enter information into the system. From here we can certainly see how differences in data input from different people can trigger data redundancy.

This data redundancy will certainly have a huge impact on your company’s database system. One of the perceived impacts is the wasted storage space due to duplication of data in the system.

In addition, another impact that is very influential on the development of the company is the results of inaccurate data analysis reports. When you need analysis of data reports that are in the system, the reports provided will be inaccurate because the system will analyze and enter two to more identical data into the results of the report.

Read Also: What is the Definition of Primary and Secondary Data in a Business and Their Functions?

How Can We Overcome Data Redundancy?

After understanding what data redundancy is and its impact on company development, then of course you must know ways to overcome data redundancy. In the following, there are 3 ways you can do to overcome data redundancy, such as:

1. Avoiding Similar File Storage

The first way to overcome data redundancy in your company is to be more careful in storing data. This needs to be done to avoid duplication of data that can eat up storage capacity in your database.

Everyone who has access to enter data into the system must first check whether the data has been previously entered by other employees. Therefore, it is important for you to use a structured database system to monitor the flow of data in and out and find out who is responsible for the data entered into the system.

Read Also: Difference between Data Warehouse and Data Mining

2. Using Software to Manage Ddata

Currently, there are so many software that you can use to help the data management process. So, when the same data is entered into the system, the software can directly compare the data. If the data has the same structure and content as the existing data, the system will automatically set aside the new data.

3. Using the DMS Application

The last way to prevent data redundancy is to use a DMS application. Do you know what a DMS application is?

The DMS (Data Management System) application is an application specifically designed to assist data management and is also capable of performing content management and record management. Thus, this application is able to detect duplication of data in the system and provide notifications to you regarding data redundancy that occurs there.

To be able to use this application and know ways to overcome data redundancy, you can simply contact AdIns now because we provide DMS application service. This application can help you in having a structured database. So, here is the information we can pass on to you. Contact us now for more information regarding the DMS application from AdIns.