We often talk about Big Data, but sometimes companies don’t know exactly how to use it once they collect huge amounts of data; or they may not know exactly what they are yet.
What are Big Data?
The term Big Data indicates large amounts of data, or “megadata”, which are so large in volume, variety or velocity that they need specific technologies to extrapolate or analyze them. (definition by Wikipedia)
Big Data analysis is a development of traditional Business intelligence, but with even more variables of different kind and volume. There is no unit of measure to count them, because they vary too much from one another; above all, there are always new technologies allowing to analyze newer or larger ones.
The analysis is then necessary to find links between different phenomenons to get reliable answers, as well as to be able to predict future events or behaviours.
How to use Big Data?
Analysis and especially the use of Big Data is however an open point: how to store them, and how to study them? It is necessary to have a software, and a reliable partner to supply corporates with the necessary know-how and instruments. Once a software tailored on specific needs and features is available, it will be programmed in order to be able to collect and process the data; then, the software (again, in autonomy) will send them to managers. All processed data are immediately available as a report, readable, and that do not require further analysis.
As an example, think about a multinational corporate with production plants across the world. In order to understand the efficiency of machinery and their performance, it is fundamental a remote access. Therefore, the ideal solution is the creation of a software able to collect and process all the information from each production. The automatically generated report will then be available at any location, and at any time.