Everything You Need to Know About Classification of Data

1
(No Transcript)
2
(No Transcript)
3
Classification of data is an essential aspect of
statistics. It is the way to organize the data in
an efficient way. That is quite useful to perform
the statistics operation on the data without any
hassle. Most of the students may not be aware of
the classification of data. But as statistics
experts, we have to help the students to clear
all their doubts. Here in this presentation we
will share with you the best guide on the
classification of data. Lets begin with the
introduction-
OVERVIEW
4
INTRODUCTION OF CLASSIFICATION OF DATA
Data classification is defined as the way to
organize the data by relevant categories.
Therefore it makes the data quite easy to use for
the data analyst. The data classification is used
for legal discovery, risk management, and
compliance. There can be different guidelines for
data classifications vary from organization to
organization. Apart from that, the data can also
be protected more efficiently. Besides, when you
do the proper data classification, then you can
quickly locate and retrieve the data. Tagging
data is also available in it to make it easily
searchable and trackable. It also reduces the
risk of duplication of data. Therefore the data
storage also decreases, and it can be cheap to
backup the data. Besides, whenever you want to
perform any operation on the data, then the
process will also be done at a rapid pace. In
some cases, it is is quite tricky and technical.
5
Objectives of Data Classification
The major motive of data classification to
arrange the high volume of data in a way that the
similarities and differences can be understood
without any hassle.
For pointing out the important characteristics of
the data.
For comparison aid.
For pointing out the important characteristics of
the data.
You can also perform the statistical method on
the collected material data.
It is used to give importance to the prominent
data collected and used to separate the other
optional elements from that data.
It is used to highlight the similarity in data.
We use it for distinctiveness in data with the
help of groping the data into different classes
and classifications.
It is useful for the scientific arrangement of
data that makes the data more reliable.
It is useful for data more precise and reduce
redundancy.
With it you can make changes in data more
effectively and without any hassle.
6
STEPS FOR EFFECTIVE DATA CLASSIFICATION
SCAN
It is the initial step and involves the process
where we analyze the entire database. In this
process, we analyze every single database to get
the raw data.
IDENTIFY
In this step, we identify the types of data that
we need to insert in different categories. E.g,
we can put the age and gender data into the
demographic category.
SEPARATE
In this step, we separate the data which is no
longer required to perform. For example, in the
demographic category, we also put the weight
measurement data, which is no longer useful for
our data operations. 
CREATING A DATA CLASSIFICATION POLICY
This is the step to generate the data
classification policy. Every organization has its
own data classification policy. So be careful
while creating the data classification policy
because it will affect the business in the long
run.
PRIORITIZE AND ORGANIZE DATA
Last but not the least step. It is time to
implement the data classification policy on your
data. You have to prioritize the sensitive
information to sort first rather than the
insensitive one.
7
(No Transcript)
8
(No Transcript)
9
Basis of Classification
10
CONCLUSION
Now it may be clear in your mind what is the
classification of data, how it works, and the
importance of it. Next time whenever you are
going to do it. Then you may be quite confident
to use it. If it is still overwhelming for you to
understand the classification of data. Then you
can take the help from your statistics homework
helper.
11
(No Transcript)
12
statanalytica.com
Info_at_statanalytica.com
13
STATANALYTICA
THANKS FOR WATCHING
LIKE AND SHARE