The concept of Big Data has entered our lives very quickly. With technological developments, the data that can be obtained over the internet has reached very high levels. What we enter on the internet, what we search and even what we talk about while the internet is open can be stored and matched with our personal data.
How? Welcome to the mysterious world of Big Data. So it’s time to answer the question “What is Big Data?“.
What is big data and where does it come from?
What is big data and why is it important?
Big data, it refers to the forms of data collected from different sources on the Internet, which are made meaningful and processable with certain algorithms. In other words, it is the forms transformed into usable information sources by processing and classifying the mass of data obtained in the digital environment.
While social media platforms, websites, recorded photos, bank transactions and videos are the most important of these sources, today there is an intense effort to improve these sources. Otherwise, how can we explain the fact that after a conversation you have while your internet is turned on, relevant advertisements appear on your social media accounts?
Big Data is a treasure trove. With the processing of this data, information such as what you like to do at what time of day, the equipment and services you need or may need, the products you last searched for, where you went on vacation last year and similar information can be matched with your personal data.
This data can be used in different ways by commercial companies at the micro level and by governments at the macro scale. It is clear that when data is used for social benefit and research for the benefit of society, it will create a great social benefit.
Training in Big Data: how to do it?
Basic process steps of big data analysis
Now that we have the answer to the question “What is big data?”, we can get into the kitchen a bit more.
Data simply refers to pieces of raw information. While collecting information is an important task, these pieces do not mean anything on their own. Making data meaningful and usable is possible through data analysis.
Data analysis basically consists of data mining and business intelligence components. Data mining is the process of digging through piles of data to find useful information. While this process is done with a certain level of loss, data mining studies strive to minimize these losses. Business intelligence includes all the processes that transform the mass of data into useful information for business purposes.
For these processes, data points are first compared and the relationship between the data is determined. The data is processed in developed structure models. The results are monitored by changing the location of data points through simulations.
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In which areas is big data used?
The use of Big Data is becoming widespread day by day. It is generally used to identify consumer trends, monitor the trends of the day, and conduct sectoral or consumer-based research. In addition to these, we can say that scientific uses are also becoming widespread. For example, in public health services, analyzing a large number of records and images provides significant improvements in the early diagnosis of diseases and the development of medicines.
In education services, the use of Big Data is increasing day by day to measure the contribution and efficiency of existing or new methods of education.
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Big data and business analytics
The whole process of analyzing and reporting the mass of data we have is called business analytics. The most important point that distinguishes business intelligence from business analytics is that the former is intended to explain and the latter to draw a road map within the framework of certain predictions.
In order to achieve this, business analytics solutions process data obtained from many different sources, create predictions for the future and provide the right prescriptions.
When evaluating Business Analytics solutions, importance should be given to visualization, scalability, analysis capability, predictive capacity and data security.
Would you get more information about Big Data and data analysis? Contact Enkronos today.
