A Tour Guide to the World of Data Analytics

Data Analytics is one of the most widely used techniques of almost all the companies in today’s digital
world. In this blog, I have given brief yet sufficient information that will help you in understanding all
about Data Analytics. So get ready to understand the fascinating zone of Data Analytics…
What is Data Analytics?
Well, in simple terms, it is a technique used to sort big volume of data in order to extract more direct
information in the form of patterns, algorithms, relations, connections, models etc. that in turn add
value to companies.The three important attributes of it are volume, variety and velocity.
Why sudden demand of Data Analytics?
With the increasing digital footprint there is a surge in demand in understanding the mind of today’s
digital consumer. Companies all over the world want to track and sort previous data of their consumers
to predict demand of their future needs.
Well, you may wonder if data analytics is so important then what kind of career opportunities it can
provide? Let me quote a study done by IBM that predicts that demand for DATA ANALYSTS will soar up to 28% by
the year 2020.That means 150,000 new jobs per year. So, it’s easy to say Data Analytics can’t be ignored
in today’s professional world.So, what are the categories of data analytics?
. Descriptive-: It is used to describe the past occurrence or records. It is REACTIVE IN NATURE
because it helps in creating summary of previous data.
. Predictive-: It is one of the most popular data technique because it tells us what will happen in
future as a result of what has happened in the present. It is PROACTIVE IN NATURE as it helps
businesses forecast future results.
. Prescriptive-: As the name suggests, it prescribes the right course of action. It not only tells us
what will happen in the future, but it also tells us what actions we can take, in case, some
previous prediction materializes in the future.
So, what are the languages used in Data Analytics?
Actually, a lot of open source softwares are available on the internet, but two of the most popular
languages are-:
. R
. PYTHON

What are some of the practical uses of data analytics?
. Text Analytics-: It is used to analyze a customer’s sentiment through his digital remarks.
. HR Analytics-: Sounds unreal, but data analytics has techniques that can precisely predict the
intention of an employee whether to stay with the company or not. Such predictions will help
the company save a lot of money as well as resources.
. Customer Lifetime Value-: It expresses the company’s goodwill towards their existing
customers, it also keeps a track of customer’s shopping records which helps the company to
provide better services in the future.
. Crime Prevention-: Data Analytics has been used to create hotspots for tiger poaching
prevention in India.
. Healthcare-: Data Analytics is used to collect information about the daily lifestyle of people and
predict their risk scorecard for catching diseases like cardiovascular problem, dementia,
aneurysms etc.
What are the companies that use Data Analytics?
. Google-: As we all know, Google provides several billion search results daily, hence it hires the
maximum number of Data Analysts.
. Facebook-: It deploys Data Analytics to understand what its users are talking about, so that it
can provide better services in the future. It also helps them in distributing advertisements.
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