Big data consists of a large and highly complex set of data from different sources. This vast amount of information enables companies to make decisions that would have been impossible to review before.

Big Data is known by a few “V”s that characterize it:

Due to the vast amount of information generated every second, this data can add up to terabytes or petabytes.

It’s the speed with which data is created, stored, and analyzed. This information in motion is a key factor for decision-making; knowing what’s happening in real time helps you take action to avoid losses.

It refers to the types of data obtained, which poses a challenge in new ways of understanding and analyzing information.

Currently we find the data:

• Unstructured.
• Semi-structured.
• Structured.

It’s the reliability of the data; time must be invested to find quality data, eliminating information that could falsify the results of each analysis.

The value of data lies in its ability to provide information for crucial decision-making. We find this “V” when the data is actionable.

Big data represents one of a company’s most valuable assets, but it’s worthless until someone discovers it. Companies need specialized teams to ask the right questions and identify behavioral patterns to determine strategic direction. This analysis enables decisions ranging from creating new offerings to improving customer service.

Technological devices and communication media are constantly growing, constantly increasing the volume of data. Therefore, companies that want to evolve must incorporate Big Data into their internal and external processes as an essential element.