Business Intelligence is a very comprehensive term that covers processes and methods of collecting, storing and analyzing data from operations or activities. The primary objective is to optimize business performance, both in real time and in decision-making and planning in the medium and long term.
This term emerged around 1960 and its evolution came to include several related processes and activities such as: data mining, reporting, benchmarking, performance metrics, descriptive analysis, queries, statistics, graphics (visual analysis).
Data mining aims to harness volumes of data to apply statistical techniques that reveal trends.
The queries seek to make associations, with statistical analysis techniques, search algorithms and creation of texts in natural language, with the aim of providing automated answers or explanatory texts.
Here at Guscla, our understanding is that proposing solutions using traditional Business Intelligence is outdated. All these techniques, with all the evolution and current resources of processing, statistics and natural language text algorithms, are essentially techniques heavily used in Artificial Intelligence software. ,
We understand that resources based on Artificial Intelligence are more effective, simple and assertive. Another excellent benefit of using Artificial Intelligence instead of traditional Business Intelligence is that AI communicates or passes on the information resulting from procedures in a more objective, summarized and intelligent way, whether through texts in natural language, graphics, notifications in time real and in addition, it can go further, for example, it can start operations, enhance and speed up human activities, etc.
Therefore, here at Guscla, we suggest updating the Management Information System to exchange Business Intelligence resources for Artificial Intelligence.