Data, or data as it’s called in English, is just as valuable as oil today. We know that there are companies and governments that spend billions of dollars on data theft and protection. In addition, we all know that there are companies that blindly sell our personal data or fail to protect it. The answer to the question of what data is is a bit detailed. because what we call data is actually not that useful if it is not in the right hands.

Data and information are two concepts that are often confused. Getting data is just the first step to find out about that topic. Information may emerge when processing and analyzing the data in question. We say it can happen because we don’t always have enough data to get to the information. Bride Let’s take a closer look at what data is. and let’s see if it’s important enough to cause tomorrow’s wars.

What is data?

Data or by its English name data, by its technical definition; about a person or object is the numerical value of qualitative and quantitative variability. It is possible to separate the data as raw, that is, raw and processed data. Raw data is of little use to other people unless it has been reviewed by an expert.

Processed data is often an important step towards the result, i.e. information. However, even processed data is often combined with other information or other data. if not analyzed result gives no information. For this reason, the more data about a person or object is obtained, the healthier the process becomes.

Data you don’t mind they can be used in any field. Data is the number one reference in scientific research, financial studies, business management, management science, organizational activities and more. It is desirable to obtain information by making analyzes in the light of the data, and after reaching the information, application studies on the subject are started.

What does data mean?

Let’s go through an example to explain the data usage and understand what it means. We all know Mount Everest. The height is a data of it. It is his knowledge that Mount Everest is the highest mountain in the world. Talking about the difficulties of climbing Mount Everest is the result of processing information. In other words, data is the most basic and ready-made value of anything.

The history of the word data, meaning dates in English, dates back to about 1640. In 1946, what do we use today? transferable and storable computer information such as: got the definition. Data processing, on the other hand, was used in 1954, shortly after the definition of data.

When did we realize that data is valuable?

Supposedly, humanity has been collecting data since its inception. look at the tree he is trying to collect data about him and get information. He collects data on a weed he finds while trying to figure out if it’s deadly. In other words, to get information, people have always tried to collect data first about what they are curious about.

In the current sense of the word, digital data has acquired an increasing value with 2010. Due to the widespread use of the Internet with computers and mobile devices, both a lot of new data has been revealed and the need for more data has arisen. Marketing, social work and scientific research are among the areas that have come to realize the importance of user data, especially in the last decade.

So how is data collected?

In short, without going into too much detail, there are two main sources you can use to collect data; primary source and secondary source. The primary source is the most important one about which data is to be collected. Secondary source is the second thing that has the data of the thing about which data is to be collected.

Primary sources often provide the most accurate data, but secondary sources often presents data of questionable value. Therefore, when processing data from secondary sources, comparisons are often made with raw data from the primary source and primary source data is used as a reference.

Where are the big companies in this?

So far we may have given some tedious details for a clear understanding of what data is, but from this point on We will understand why it is as valuable as oil. At this point we come across the concept of big data. Big data means a lot of data to arrive at the result, i.e. information. Of course we all know which big companies have it.

Don’t be angry, because this is the biggest success of big companies; that they can’t find easily We supplied all the data with our own hands. They too have rightly taken all the data and processed it properly. In fact, it is not so important that the companies in question process this data. Usually we come across advertisements for products that are similar to the product we are looking for. What about security?

When all these big companies fail to protect our entire data or knowingly sell it things run together. We know that in the illegal part of the internet, which we call the deep web, the data in question is sold in terrible numbers. While credit card and bank account information leads to money being stolen directly from our pockets, our identity information is used for illegal purposes. So I wanted to go back to the company you trust and take a look.

How will data wars unfold?

World War 3 will definitely break out, but it won’t be as we know it. who has fought for years for absurd reasons States will fight for data today. He will try to identify the names of dissidents, he will want to find the places of the people who are found guilty, just because he thinks the dictators will hide how they persecute the people.

For many reasons, these states They will invest in cyber attacks and cyber defense. So much so that one state will infiltrate another state’s military data and bomb its own. Because we now know that data consisting of ones and zeros is not only complex number sets, but also the real life we ​​live.

Today it is even more valuable than oil. what is data, how is it collected, is it important enough to cause war? We answered the curious questions and talked about the details you need to know about this digital world. You can share your thoughts on the future of data in the comments.