What is Big Data? How to use?

Big data is among the concepts frequently heard by those who are interested in technology in recent yearsThe importance of big data for the growth and development of every individual cannot be denied in today's world where the use of the Internet is becoming more and more widespread. Big data is the meaningful and actionable form of data obtained from Observation, search engines, research, blogs, forums, social media and many more.

How is Big Data Used?

Big data specifically examines the customer behavior of companies. Then, it makes significant contributions to making the right decisions and developing strategies. After the data at hand is made the simplest and most workable, the relations between these data are examined by using the comparison method and the connections between them are revealed. Thus, it is possible to predict the consequences of the decisions to be taken. Reactions to different decisions can be seen using simulations created by changing the locations of various points in the data.

With big data analytics, organizations more accurately evaluate data based on real customer behavior.

The Importance of Big Data

Since large data is completely based on the analysis of real data, it allows the right decisions to make the right decisions in many different fields such as reducing costs, spending advertising on the right channels, saving labor and developing product in accordance with expectations.

Uses of Big Data

Large data can be used in all areas, especially sectors where customer behaviors such as banking and retail sector are very important and need to be followed. In recent years, the importance of big data has been understood by the states and started to be used in various fieldsBig data, which can also be used in the field of Health, such as early diagnosis of diseases or drug development, can also be used to prevent crime or make improvements in the education system.

What are Big Data Components?

Big data consists of 5 main components.

• Variety: Generation of data happens in many different formats. From phones, tablets, computers; Data from different operating systems or languages lead to the emergence of different formats.
• Velocity: Increasing technological facilities day by day leads to the increase in the amount of data obtained, the number of procedures and diversity.
• Volume: In the last 10 years, the amount of data has increased more than 40 times, but data storage costs have increased 1.5 times. Therefore, a very good arrangement is required to store the obtained data accurately and efficiently.
• Verification: Data security and accuracy has been another prominent issue regarding data recently.It should be carefully examined by whom and under what conditions the obtained data will be viewed and which of these data should be kept confidential.
• Value: The most important component related to large data is value. The data obtained and processed are significant as long as they add value to the institution. Therefore, the correct editing of the analysis and simulations of large data and the benefit of the institution that uses large data should be considered as a priority.

If large data (Big Data) is constructed and used correctly, it provides significant benefits in the decision stages of companies and provides competitive advantage to companies. Companies that are aware of this situation; They benefit from big data in many areas such as sales, marketing and production.