Best Practices to Avoid Dirty Data

The cause of dirty data is the lack of standardized information and mismanagement of information. As a business organization evolves, it calls for a better strategy for database management. Issues like misleading information, redundant data and inconsistent information can affect the potential of an organization and result in unnecessary compromises, added costs and can also put the reputation at stake. This calls in for a need to adopt certain practices that can help in better data management by expelling the effects of dirty data.

Some of the measures are as follows

Evaluation of the database

The database should be periodically reviewed and evaluated. This can be done by using various tools or outsourcing this task. A regular review helps to note down the possibilities of dirty data being present in the system and the need to eliminate it. It is also essential to monitor the source of data entry into the system and place regular checks at those points.

Regular database management

Database management and update is essential for every organization big or small. If the company has a considerable voluminous data, then there is a need to allocated time and budget for the maintaining and updating the database on a regular basis.

Strategy for data management

Observe the issues during the database management, and establish certain standards and norms for data management.

Policy for data management

Just as you manage the database, similarly the data and records related to data should be managed too. Decision makers, stakeholders and other significant threads in the communication should follow policies related to data management.

Managing records and copies

Backup is a very significant aspect of data management. As you add new data or take a backup of the older one, it is very important to manage these records, preserve or delete them.

Other data issues

Bouncing of communication mails and messages, issues in data conversion and the speed of data transmission are some of the points that are likely to face issues in database management. This can lead to several critical issues too.

Advantages of excellent data and database management

Eliminating the possibilities of dirty data and getting the data management streamlined provides an advantage in terms of the business prospects. In the long run this affects the performance positively and also results in revenue generation.

In a nutshell it can be summarized that data cleaning can be managed if this measure is considered to be on an enterprise scale and if the need be it is outsourced to a support agency. One more important measure that needs to be adopted is to monitor the data and assign critical points at junctures where the data enters the mainstream. Finally it is not just enough to implement data cleaning measures, but it is also necessary to adopt the correct methodologies when dealing with data. This ensures that there are minimum errors and redundancy in the data and hence less damage is done. This can be best managed by effective data management policies.

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