Organizations are facing unprecedented challenges: high economic and financial uncertainty, fierce demands from customers and suppliers, competitiveness and organizational profitability at constant risk. These challenges have a direct impact on organizations' procurement strategies. As a result, the Procurement area has emerged as one of the main levers of organizational competitiveness. On the one hand, this demands high pressure for cost reductions, improved quality and responsiveness, as well as minimizing risks for the organization. On the other hand, there is a great opportunity to add value, if thought of holistically and strategically.
Various technology tools are used today to manage the flow of information, goods and money within chains. They are usually based on "classic" integrated systems, such as ERPs and specific solutions. However, new techniques and ways of dealing with information have added new challenges for professionals and researchers. These techniques seek to strengthen collaboration, interoperability and analytical capacity in supply chains. Given the speed of generation and the ever-increasing volume of information that is generated, exchanged and transmitted within the chain, such techniques are now essential: IoT, Cloud, BigData, AI, etc. The convergence of these technologies with business has given rise to the increasingly widespread application of data science. With an emphasis on virtual chain processing.
This course aims to explore in depth how executives can take better advantage of the data available for decision-making and automation of their processes, as well as critically analyzing the impacts of decisions to be made based on technological choices. To this end, current ways of collecting data in a structured way, data analysis models, inferences and decision-making will be explored.