Problems Caused Due to Data Inconsistency

Data Inconsistency can lead to various problems that are as follows:

1. Data Integration problems: Data Inconsistences compromises the integrity aspect of the data stored in the database, due to this it becomes difficult to rely or trust on the information.
2. Increased Complexity: If the size of the database is huge then resolving the data inconsistencies needs to compromise additional time and effort. Also, additional resources are required to solve the inconsistencies. This adds complexity to database maintenance and administrative tasks.
3. Data Duplication: Inconsistencies lead to the problem of duplicate data entries, which not only waste storage memory but also increments the probability of future inconsistencies of records or data.
4. Incorrect Reporting: Inconsistent data can generate inaccurate results and reports. In the analytical process, a flawed- decision can be taken due to unreliable information passed as the input to the decision-making process.

The database is the collection of structured records that are used in various scenarios to gain useful insights, perform CRUD operations, and many other things. The data stored in the Database is in the form of rows and columns, we mostly call them as records. There are various tables that store and represent the data/records to the user. In these tables, there may be a situation where the data stored as records may be inconsistent. This leads to Data Inconsistency in the database. In this article, we will explore the concept of Data Inconsistency, will understand the concept through a simple example, explore the problems caused due to Data inconsistency, and lastly will see the disadvantages of Inconsistent Data.