Abstract:

In today's reality the amount of data generated is enormous. Therefore, it is necessary to approach in a completely different way the analysis of data flowing from different sides of the functioning of the economy. This is where Big Data analytics solutions come to our rescue, by offering tremendous opportunities for businesses, whether they are used alone or in conjunction with existing traditional data. Scientists, analysts, researchers and business users can use these new data sources for advanced analytics that provide deeper insights into data and to power innovative applications. Some popular techniques include data mining, text analytics, predictive analytics, data visualization, AI, machine learning, statistics, and natural language processing.

Therefore, the author focused on the use of the latest organizational and technological solutions in the aspect of using Big Data analytics to improve supply chain processes. The author points out the differences between Big and Small Data, as well as the approach to the analysis itself and the processes that control it. Where presented several examples of practical applications of Big Data analytics, focusing on the most relevant areas of supply chains, including the food chain. It concludes with conclusions including, among others, the benefits of using Big Data analytics.