In the early days of the information age, the power of data has remained mainly in the hands of a few data analysts with very specific skills. The reason for this is that most employees were not trained to use the growing flood of data effectively.
Applying Big Data technology is perhaps the most important project in the minds of most executives today, all with high expectations about the monetisation of this data.
The devices that form ‘the Internet of Things’ (IoT) are ideal for making the most of data analysis. These devices contain chips, cameras, sensors and many other components that receive and collect huge amounts of valuable data.
In times as ambiguous as these, having access to data and knowing how to filter and analyse it is key to making good decisions and minimising the risk of each action.
Industry 4.0 is the fusion of the real world with the virtual world. This digital revolution is marked by technology that takes advantage of Big Data and Artificial Intelligence (AI) to nurture automatic learning systems.
In ‘Data Science vs. Big Data vs. Data Analytics’ we explain the differences between these three concepts, the applications for each of them and how they are connected.