Importance of Data Cleaning and Reasons of Data
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,
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 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.
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.
About 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, visit www.lexolutionit.com
or visit the blog http://all-that-web-demans.blogspot.com.
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