Difference between data validity and data integrity
We’re now entering a new world in which
data may be more important than software. This is the fact of life especially
for an organization! The role of data in an organization has always been a
vital part so that the business can gain profits and earn credibility. Hence
the data should be examined thoroughly to ensure accuracy.
The two terms data validity and data integrity are the beneficial
stages where data is checked. So, let’s
understand the difference between data validity and data integrity.
Data
Validity and Data Integrity Are Not the Same
First of all, the basic understanding of these two terms
is that they are highly dependent on the data so that business can take proper
decisions. The second understanding comes what
these two terms addresses. Data integrity addresses protection
information from accidental or malicious
alteration or destruction whereas Data Validation establishes
compliance with security specifications and requirements.
Let’s understand more with an example. For example, errors in data validity are created by human beings - usually data entry
personnel - who enter, for example,13/25/2010, by mistake, while errors in data
integrity are caused by bugs in computer programs that, for example, cause the
overwriting of some of the data in the database, when somebody attempts to
retrieve a blank value from the database.
Data
Validity
Data validation
determines compliance with security specifications and requirements with the
help of tests and evaluations which enhances correctness and reasonableness of
data. The second term which we can use
for data validation is the “human being” or we can say that it’s all
about the correctness
and reasonableness of data.
Data
Integrity
Data integrity relates to the validity of data for the
period of time during which it is relevant from that source. As the second term
for data validity is “human being”, the second term for data integrity is “bugs in computer
programs”.
You can see how these two terms can be bewildered and
intermixed since, at a single point in time, they are importantly identical in
meaning. But,
they possess the same purpose. They
both reduce the risk to agency system from malicious software and intrusions,
or from accidental alteration or destruction.
Why is data integrity and data validity more
important than ever to organizations?
It is very important to understand that data is a very
valuable asset to any organizations. And if there is lack of data quality
management, there will be an increase in poor decisions, additional costs,
inefficiencies, which no one would like to see that disaster.
Once your database is precise, the fun
can really begin. Timely and precise data can be used to build models for ideal
customer profiles and decision-making buyer personas within your current
database. It can also be used for highly personalized marketing efforts to your audience.
The critical role of data validity and integrity cannot be
over-stressed. You can learn more about data management by choosing us, the BDS Services. BDS Services is a reliable organization which provides Data validationservices and is armed with professionals expertise who have years of experience
in database. We provide world-class database services.
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