blog posts

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 worldwide have been able to make huge profits and provide many services to users worldwide through big data. It is for different sections. In this article, we want to get familiar with the concept, analyze it, and its many applications.

Big data in simple language

Big data contains a large amount of information with three elements: speed, volume, and variety. This macro information can be used in a variety of contexts. Its analysis is not done by everyone or by simple software. 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, you can consider all the applications 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.

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

Speed is a key element in it. In this context, we can give an example of a news application for the audience. The more recent a news item is, the more important it is.

You can see a clear example of this in routing software. This type of software 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. 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 data entering it is increasing. The point to remember is that not all data can be used without analysis. Scientists in data science, artificial intelligence, and data mining do the science of data analysis. The volume of data is growing. 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 remember 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, also has the possibility of error.

In addition to these three main elements in defining the concept, 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, it 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

As one of the most important keys to technology, big data 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 its applications, as its analytics can also fit into smaller segments. A good example of this is the applications that you use in the field of health.

Google is also one of the largest companies based on its collection, analysis, and extraction, making the most use of data in the field. One of the cases of collecting and analyzing Google can be considered as the amount of searching for words in a particular subject. In addition to processing this data, Google can suggest similar words to those searched. This issue is based on the frequency of searches that Google has been able to extract and provide the user with its analysis.

Big Data Analysis

It is important to remember that big data analysis is scientifically based, and the more advanced this analysis is, the more accurate the little information obtained. It is available in structured and unstructured ways, and analysis is similar to statistics. 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 data that can be used. At this stage, the user can use the extracted information to assess the needs and identify their customers in the business as a tool.

The importance of data analysis cannot be related to its collection because raw data is no different from its absence. What uses it? In big data, due to the presence of volume elements, 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 key tool is using big data in different businesses. As mentioned, diversity is one of the principles in analysis, and this element can cover many businesses.

In the first step, using data analysis, business customers can be identified, and according to them, needs can be assessed, and services can be provided. Measuring customer needs can have a significant impact on gaining a competitive market.

The importance of big data

In its context, 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 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, they gain sufficient knowledge and awareness. Using scientists in this field can help your business and be a powerful tool for growth and development in other fields.