Big data in a world where information technology is at the forefront. It is a progressive engine that can accompany you to the moon. Technology giants around the world have been able to make huge profits in addition to providing many services to users around the world through big data. It is for different sections. In this article, we want to get familiar with the concept, analysis of it and its many applications.
Big data in simple language
Big data contains a large amount of information that has three elements: speed, volume and variety. This macro information can be used in a variety of contexts. It’s analysis is not done by everyone or a simple software. But it needs to be analyzed expertly and used in different departments. In other words, through it, you can measure information in line with your goals.
To give objectivity to the concept of it, you can consider all the applications that are designed based on this technology. Podcast production software and digital books are examples designed to measure information. Which of the products produced is more popular and as a result the audience (user) prefers which one. It is based on Its analysis.
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Big Data Elements
Big data analytics is an action that can transform your business. This analysis is based on three elements, which are:
1- Speed
The element of speed is a key element in it. In this context, we can give an example of the application that news has for the audience. The more recent a news item is, the more important it is in it.
You can see a clear example of this in routing software. In this type of software, which directs you due to the low traffic route, in case of sudden traffic on the predetermined route, they need to be able to give you a new route. Give. In this case, the application using it allows you to do so, and speed in data analysis is the most important factor that the router needs.
2- Volume
The Internet platform is a data platform, and with the advancement of technology, the volume of entry into it is increasing. The point to keep in mind is that not all can be used without analysis. The science of data analysis is done by scientists in data science, artificial intelligence, and data mining. Its volume has a growing trend. This volume must be collected and stored so that it can be analyzed.
3- Variety
One of the attractions of it is the variety of data through which the processed information can be provided to the user according to need. One thing to keep in mind about diversity is that diversity in information can sometimes lead to errors. In this regard, we can refer to the data collected by Google, which due to the great breadth and variety of the collected data, there is also the possibility of error.
In addition to these three main elements in defining the concept of it, Ernst & Young refers to another element that is very important in explaining the concept of big data. This element is called data accuracy. There is valuable data that is reliable and accurate. Otherwise they can not be trusted. It seems that paying attention to this element can further enhance the value of the analyzed data.
4- Application of big data in industries
Big data, as one of the most important keys to technology, is of great value to various industries. In the last century, the dependence of large and micro industries on information science has enabled Big Data to respond to their needs in addition to assessing them. It does not matter if we consider the use of big data in large businesses or small businesses, which can be examples of these applications in the following cases:
- Telecommunication industry
- Transportation Industry
- Insurance industry
- Banking industry
- Medical industry
- Education
- Media
These represent only a fraction of the application of it, as its analytics can also fit into smaller segments. A good example of this is in the applications that you use in the field of health.
Google is also one of the largest companies based on the collection, analysis and extraction of it and has the most use of data in the field of it. One of the cases of collecting and analyzing Google can be considered as the amount of searching for words that are done in a particular subject, in addition to processing this data, Google can suggest you the words searched in the same. This issue is based on the frequency of searches that Google has been able to extract and provide to the user with its analysis.
Big Data Analysis
It is important to keep in mind that big data analysis is scientifically based, and the more advanced this analysis is, the more accurate the little information obtained. In fact, it is available in a structured and unstructured way, and analysis is similar to what statistics do. In other words, statistics converts qualitative information into quantitative information.
Data collection, after collecting information, provides it to the user in the form of quantitative it that can be for using. At this stage, the extracted information is what the user can use to assess the needs and identify their customers in the business as a tool.
The importance of data analysis cannot be to its collection, because raw data is no different from its absence. What uses it. In big data, due to the presence of volume element, data analysis is doubly important.
Application of big data in business
All businesses are looking for success and gaining a larger market share. So they try to find a competitive position for themselves by using different tools. One of the key tools is to use big data in different businesses. As mentioned, the element of diversity is one of the principles in analysis and this element can cover many businesses.
Using data analysis, in the first step, business customers can be identified, and according to them, needs can be assessed and services can be provided. It is clear that measuring customer needs can have a significant impact on gaining a competitive market.
The importance of big data
In the context of it, how you use information is more important than how much information you have available. You can retrieve and analyze it from any source. The result can be cost savings, reduced usage time, upgraded products and services, and smart marketing decisions. When you use it with strong analytics. The following results are for you:
- Find the shortcomings, problems and defects of the collection in the shortest time
- Calculating risks and making decisions based on existing risks
- Find customer needs and provide services and products based on customer needs
- Prevent any fraud and misuse of information in the collection
The concept of it, in terms of its breadth and comprehensiveness, can not be a unique to a domain with a specific definition. In addition, this new phenomenon is growing in the context of the Internet. It has a long way to go until it reaches maturity. In this way, gaining sufficient knowledge and awareness and on the other hand. Using scientists in this field can not only help your business but also be a powerful tool for growth and development in other fields.