BIG DATA
22.07.2019 | Global Legal Matters | 1678
ABSTRACT.
With the advancement of technology and the
development of the internet, the power of information has come to the forefront
today, and with this, many cases in the world of the Internet have become known
as ‘Information Dump’. Software companies, who think that meaningful data can
come out of this dump, carried out R & D studies in this sense and
uncovered what we call Big Data.
This phenomenon, which we call Big Data, is not
exactly like this, although it makes a lot of data connotation. Big Data is a
form of all these data that we obtain from different sources such as social
media shares, photo archives, and ım log ız files that we continuously record.
Until recently, the available data was stored in
designated tables, either in numerical or verbal compartments. But now, when it
is necessary to track a customer's share on facebook, data types that are
difficult to associate with the reporting software we use in the customer's
data such as pictures, music and videos are included. Nowadays, the use of all
this data has become a necessity. In short, our goal has been to extract
valuable data from the information dump.
In fact, data big data ir is the
cumulative accumulation of information and data that we produce. All of our
individual behaviors create data. We gather information by combining this data
and generating statistics. For example: Let Ahmet go to a restaurant called x
for breakfast. Then he can drive to work. Let Mehmet go to school by bus and
eat breakfast at x restaurant. These behaviors of Ahmet and Mehmet are data.
When collected cumulatively, they
form the data big data ız in which we will generate statistics and information.
When we process this accumulated data, we find out what percentage of x
restaurant customers are students and what percentage are employees, and
whether those who prefer x restaurant arrive here by public transport or by
private vehicle. This information is ultimately effective in the
decision-making process of all actions, from the menu of the restaurant to the
decoration, advertising strategies.
Big Data is a form of all these
data that we obtain from different sources such as social media shares, photo
archives, and make them meaningful and processable. The following three
concepts are very important in the formation of Big Data:
Volume: Represents the amount of data. A typical computer had a
storage capacity of 10 gigabytes in 2000. Today, Facebook feeds 500 terabytes
of new data every day. So if you have hundreds of terabytes of data, we can say
that your data is moving towards becoming Big Data.
Velocity (Speed): Big Data production accelerates its speed day by
day and this data reaches incredible dimensions per second. For example, the
New York stock exchange obtains 1 terabyte of commercial information per
session.
Variety: Variety represents data in different formats. For example;
data such as geographic data, 3D data, audio and video and log files, social
media. When all these contents are examined, it is not possible to say that the
data is uniform.
Big Data provides the opportunity
to understand human behaviors, make predictions and intelligent management
based on the data owned by enterprises by digitalizing data and collecting and
organizing the data received in different dimensions. Based on this, let us
examine the contributions of Big Data in the sector:
Big data in the
manufacturing industry: Big data can be used to identify machine and process
variations that can be indicators of quality problems.
Big data on
sales: Helps increase sales for the business. It also helps in identifying
sales resources and accounts, optimizing product mix and other operations.
Big data in the
financial sector: Risk portfolios are minimized risk within a few minutes,
enabling future forecasts to be made.
Big data in the
retail industry: Retailers use Big Data to deliver personalized shopping
experiences to consumers.
Big data in the
health sector: Disease detection, follow-up and personal DNA analysis to
enhance health.
Some data
sources create large volumes of data in just 60 seconds:
More than 60
blogs are being built and 1500 blog posts are being written.
More than 600
new videos are uploaded on Youtube.
More than 40
questions answered on Yahoo and answers.com answers more than 100 questions.
More than 1300
iPhone applications are downloaded every minute.
About 320 accounts
are created on Twitter and more than 98,000 tweets per minute.
In our opinion, the most
important problem that arises with the storage and processing of big data is
the protection of individual privacy as in the developments in the information
sector. Studies are continuing in this direction and the subject is becoming a
specialty. The aim of the big data studies is to increase the customer
satisfaction with online reports by using the data that we have not been able to
record until now, and then to save our company value and of course money.
With the spread of big data, we
see that it is used in a new field every day. In parallel, “Big Data Marketing
Pazarlama appears in the field of Marketing. Although data-driven marketing is
a new approach for our country, Netvent offers services that enable you to
develop effective marketing strategies over big data.