How big data industries Grow Digital Transformation of your business

The way an organization uses the enormous amount of data so that it can create strategies in favor of its growth, is what makes it important to big data. In this article I present 3 industries that benefit from Big Data.

It is important to mention that large companies have been taking advantage of the benefits of their data warehouses for some time to obtain competitive advantages and develop strategies that benefit their decisions.

Nowadays, thanks to the cheaper technology and the democratization in the use of Big Data, such as through open source applications, many more companies can have access to its benefits.

Among the benefits that different industries can have, some examples are worth mentioning: cost savings when doing business, better use of time when making decisions or the analysis of product supply and demand trends to focus on the most profitable.

Here are some industries that are already taking advantage of Big Data.

The medical industry

Through the analysis of hundreds of data of basic signs such as pressure, sugar level, cholesterol and others; doctors, nurses, and medical technicians can create better procedures or make more timely diagnoses.

For example, many of us have a smart watch that measures heartbeat, number of steps taken, time spent moving, calories burned and much more. All this information can be uploaded to an application on the mobile phone and then to servers around the world.

With all this information, medical research centers can develop better medicines, follow the rhythm of life of people with a certain disease, generate hundreds of statistics to improve people’s health, new medicines, prostheses and treatments.

Public health also benefits, since Big Data can help, for example, to detect unsuitable foods for health, understand disease trends, look for patterns of infections and much more, with a view to creating prevention systems that benefit the public. population.

Even in the hospital management part, Big Data is an ally that allows analyzing schedule patterns, inventories, patient care time, recovery periods, techniques and others. With the aim of minimizing costs, making processes more efficient and, in the end, serving patients better.

The trading industry

I am specifically talking about companies that are dedicated to the marketing of services and products, both with local and international emphasis. I encompass both industries, both wholesale and retail, due to the application of many common strategies in these sectors.

Big Data is a great ally of this sector, since these companies want to offer their customers products that they want to buy and that do not spend much time in their warehouses.

Big Data can analyze brand trends, prices, tastes, flavors, colors and much more, so that marketers can focus on offering what the customer wants.

Big Data applied to social networks can help determine fashionable products, phrases, colors, trend items, repetitive tastes and more, which can serve as a basis for commercial industries to develop marketing strategies that are appropriate to their needs. the social tendencies of its consumers.

As the number of products and services of the marketers is so vast in variety, the uses of Big Data can be adapted to the particular information needs of companies, from the analysis of consumption, prices, number of visits to establishments, special dates and more.

All this can be known from the information that comes from users’ mobile applications, data from cash registers, smart cameras in customer service centers and even from electronic virtual assistants, to name a few examples.

Another example where the latent benefit of Big Data is displayed can be seen in an article in the magazine Forbes which mentions Walmart, a trading giant that processes 2.5 petabytes of information every hour.

It should be taken into account that 1 petabyte is ten raised to fifteen bytes, imagine the number of zeros that number has, it is enormous. Well, the amount of data obtained also; And what makes it interesting is Walmart’s use of its segment to be a business leader.

The financial industry

With the growth of financial services and their globalization, Big Data helps in the analysis of hundreds of transactions and the creation of new services that attract capital and allow new credit to be established.

More and more financial entities create applications and electronic services that allow, in a safe way, to generate hundreds of statistics related to consumption patterns, means and periods of payment, estimation of financing and future needs, among others.

With all this information, services and products that satisfy current and potential customers can be generated; for example according to Vision Payment Solutions Every second, 10,000 credit card transactions are generated in the world.

With all this information, then estimated locally, it can be analyzed that there are thousands of bytes of data to take advantage of to generate trends for making the right decisions, which is so important in this industry.

It is important to say that these 3 industries mentioned are not the only ones that benefit from Big Data; As I mentioned at the beginning, access to Big Data is now much easier, many more industries generate information that can be used through Big Data to generate useful data.

Even SMEs can have access to the benefits of Big Data, through companies that provide these services at moderate prices and that provide cloud solutions to any company in the world.

But to take advantage of Big Data in any of the industries where you work, the first thing is to have the necessary knowledge to be able to exploit all the tools available in this constantly growing field, especially from a prestigious institution.

Also, to take advantage of the development opportunities in this field that benefits many industries, either because you want to take advantage of a job opportunity and potentially work as a Business Intelligence Manager, Data Analyst, Business Intelligence Professional, Business Intelligence and Analytics Consultant, Business Intelligence developer or Data Manager among others, or because you want to implement a new strategy in the company where you work that involves Big Data.

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