Today's companies that handle large volumes of data rely on so-called "decision intelligence" to progress properly. Companies that act according to this criterion achieve competitive advantages that lead to greater user satisfaction. Likewise, threats are mitigated. Artificial intelligence is another fundamental technology in this approach.
Thus, decision intelligence is a multidisciplinary field that serves to reach well-founded determinations. The application of machine learning tools on material from big data has allowed this progress. The instruments of the fourth and fifth industrial revolutions are helping to streamline product and service development and establish sound risk management strategies.
The popularity of this terrain is increasing. Technicians from one of the leading international research and consulting firms, Gartner, already predicted that, by this year, more than a third of large organizations would have specialized analysts. According to his interpretation, the platforms on which these professionals will operate will be increasingly sophisticated and complete. Even so, training is required to function in this environment with guarantees.
Today's customer behavior changes frequently, so markets regularly reconfigure. Tracking consumer attitudes makes it possible to properly adjust store, warehouse, and factory inventory in real time. With this method, you gain in efficiency and sustainability. Sales are increasing and stocks are not piling up uncontrollably.
The information crossed and compared by the machines and the people in charge of this task can be internal or external, coming from suppliers, sectoral associations, administrations and even social networks. For experts, the combination of a panoramic vision and a detailed study of the company favors correct decisions and minimizes problems.
Demographics, spending trends or credit history are some of the values that now count effectively in this formula. Before arriving at the conflict, the danger for the companies and their workers must be foreseen. The sense of smell or intuition of the supposed leaders is giving way to detailed data analysis, based on algorithms and patterns, but with the supervision of human beings.
