Big Data Trends in 2020

Although you will frequently hear the expression “Big Data” in the business environment, the concept itself is quite badly defined. What amount of information is enough to be considered “Big?” No one actually knows the exact number, but it doesn’t seem to matter at all. Impact of big data on business is significant, and its utilization in a company’s operations allows obtaining great advantage over competitors.

As mentioned earlier, the definition of Big Data is pretty vague. Officially, it stands for any large amount of information, either raw or somehow processed, obtained by a business by any means and used to get profit or other benefits. Not very informative, isn’t it? However, the crucial point here is not what Big Data refers to, but how it is used in business.

First of all, it’s important to know the type of organization that is about to implement the technology to determine the level of efficiency and impact Big Data can have. In most cases, it is quite generalized; businesses use it to improve product promotion, stabilize their position on the market, and develop better strategies to handle competition. Such utilization of Big Data can result in increased profits, but it is essential to remember that it may appear insufficient for immediate business success.

What Should One Do to Implement Big Data with Maximum Efficiency?

Know your company and its needs. The key element to understanding the future strategy is the industry where an organization is operating. In 2020, areas where Big Data tends to be most profitable are the following:

  • Retail, Marketing, and Advertising. Rather wide use of Big Data technologies in these industries commonly involves working with customers to comprehensively analyze their needs and satisfy them accordingly. Big Data is the only way to transform biased personal expectations and evaluations to solid and reliable knowledge when speaking of such immersive amount of information to analyze.
  • Banking and Finance. Financial institutions hate taking risks, so Big Data is used by them to analyze and predict the effects of certain decisions. For instance, it is implemented to check clients’ credit histories and see if they are eligible for a new loan. Due to the efficiency of Artificial Intelligence (AI) in such analysis, customers can also receive decisions on their loan approvals faster.
  • Resource mining industry. Companies that work with coal, gas, and oil extraction utilize Big Data to organize proper information flow between their multiple facilities. It is also helpful in searching places for expansion as AI perfectly deals with comparing economic advantages of exploring one producing area over others.
  • Transportation and Logistics. Big Data is essential in analyzing huge numbers of passengers and vehicles constantly moving around, as well as fuel usage and possible drivers’ health issues.

In fact, the use of Big Data in business has almost unlimited possibilities. Big Data analytics is on the verge of transformation and you can discover a huge potential for Big Data when you look into the future of data analytics. Coming up with a decision on how to utilize it to make your organization grow is totally up to you, so don’t be afraid of discovering new horizons!

Adam Hansen