The health crisis due to COVID-19 contributed to accelerate the digital transformation process, the same companies visualized in the data the key for decision-making, aimed at generating new business and improving interaction with customers, on facts and not on opinions.
The incursion of new technologies also ended up modifying the management of logistics flows and supporting the expertise of those who accompany the entire production process of a product until its commercialization, who found in Big Data a tool to work more agile and optimal.
Data science is understood as the extraction, classification, analysis and optimization of data, which makes it a valuable tool that not only helps to understand the operation in the supply chain, but also allows the identification of uncertain points and even foresee future changes.
Companies that lack the ability to have solid, robust, accurate and agile predictions are going to have even greater challenges compared to those that do. Our approach must be oriented to how artificial intelligence and data science help us to optimize and generate value throughout the supply chain.
We cannot ignore the combination of human talent and data analysis, which will undoubtedly lead to greater operational efficiency. The change is not in the hands of technology, but supported by it, the asset behind the data is people.