Author: Maneet Puri

Maintaining databases has become an essential part of many organizations these days. Database maintenance helps organizations in carrying out their daily work processes and procedures in an efficient and smooth manner. Besides, the databases have necessary information which is critical to various processes of the projects. Hence, maintaining the accuracy and validity of the data is of utmost importance which needs to be performed on a regular basis.

Data cleansing brings many benefits to your organization which includes accuracy and organizing the data apart from streamlining the entire process of the organization.

An ideal process of data cleansing process consists of deleting the duplicate and inaccurate data from the database. It increasingly helps the organization in boosting the efficiency of its data management systems. It is therefore needless say that the efficiency of data management systems leads to the increase in the overall productivity of the organization.

Data Cleansing is never an optional activity for an organization; it is the bare essential which it has to conduct on a regular basis to increase the competence of the entire organizational work process and work flow. It is extremely indispensable as duplicate, invalid and factually inaccurate data can potentially hurt the credibility and stature of the organization in the long run. Moreover, it could lead to the decrease or lack of productivity which will again jeopardize the future prospect of the organization.

Data Cleansing providers valid, efficient and accurate data which form an solid base for further research and development to be done in future in search of better productivity. On the other hand, technically inaccurate and invalid data can throw negative repercussions to the very future of the organization.

Reasons of Data Corruption
The errors in data can happened due to various reasons such as,

Application Errors

This type of data errors is basically mechanical which happens due to the inability of the legacy system to automatically validate certain user inputs. It is often difficult to prevent this type of errors from taking place in the system as it is a part and parcel of every legacy system.

Human Errors

Human Errors are a major source of data manipulation in the legacy system. Again, this can take place because of the inability of the legacy system to validate data entered manually by users. However, some of these errors are rather logical nature. Let's take the example of a date field which refers to the purchase data of any product. It may so happen that the user inputs a date which might be valid from his prospective, but it could wrong from the business aspect, i.e. the user might have input a date on which a business transaction might not have taken place.

Deliberate Manipulation

It could happen for two reasons. Firstly, the user might input data forcibly to conform to the requirement of the legacy system. Secondly, the user can try to purposely manipulate the data in the legacy system to fulfill his ends.

Target System Model Definition

If the target system model dictates the in a certain format which can not be found in the legacy system this kind of errors can crop up.

Abput the Author:
Maneet Puri heads LeXolution IT Services (LIT), a renowned web and KPO solutions provider in India. He is an expert of web based applications which include web design, web development, and website maintenance services. Besides, he has also successfully added KPO services and KPO solutions India to his company. He has efficiently handled many off-shore projects related to web design, web development for his overseas clients. If you want more information on web application services offered by LIT "