Big Data is a concept that describes a large amount of structured and unstructured data that are generated every second. For many, the big data services concept is something new, but even before there were any digital media and computer technologies, the data was already generated. The difference is that nowadays we generate much more data with devices like cell phones and TVs. In addition, we have the social media that generate at the time information mostly public. Nowadays, cars, refrigerators, and wearable devices are already connected, generating even more data to be processed and transformed into useful information.
The Big Data differential is precisely tied to the possibility and opportunity to cross-reference this data from a variety of sources for quick, insightful insights. Consumer demand and increased competitiveness in all markets force us to innovate and take this path as the basic premise in business. That's why Big data is so essential these days. We get market information from our consumers, extracting what they are saying about everything you do. Dissatisfactions, satisfactions, desires, needs among others, are possible to capture in social media and cross with internal data of your company and thus create incredible insights. The essence of the concept lies in generating value for a business. The more data we have, the greater the processing effort to generate information. So, the speed to get the information is part of the success Big Data can bring to your business. Let's go to a brief explanation of big data:
Volume: We've talked enough here about the volume of data generated every second. That refers exactly to that amount of data Big Data reads.
Variety: The more data and fonts I have, the greater the complexity of working the data, but the greater the possibilities I have for generating useful information. That is why the variety of data is so important. Here it is good to say that we call the data source the places where the data is stored, so tools like Google Analytics, RD Station, Facebook and apps like Whatsapp are data sources.
Speed: Speed addresses one of the Big data’s biggest challenges. Due to the large volume and variety of data, all processing must be agile to generate the necessary information. It is necessary to generate information as quickly as possible for effective decision-making.
Truthfulness: Truthfulness is linked directly to how much information is true. The tangle of data can confuse us, so all care is little to get data veracity.
Value: If you have directed efforts to generate information that is worthless, the value of the work done will be close to zero, so we need to understand very well the context and need to generate the right information for the right people. That's why we talk so much about useful information.
To organize the ideas a bit better, let's discuss the structuring of the data and types of data that we have available today. With the new technologies there is a very large increase of information worldwide, and thus, companies, governments, and any other institutions need to know how to handle such information in the best way possible. Big data services have this function, that is, help in organizing and analyzing the data to obtain information in real time.
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