Search

Today, agriculture and information technology work hand in hand to improve farming practices. In fact, among several advantages of using information technologies in agriculture are the introduction of precision farming, the utilization and representation of meteorological data, the management and improvement of agricultural resources, the automation of agricultural equipment, supply chain management, and the adoption of agricultural information systems. The increasing integration of New Information and Communication Technologies (NICT) into agriculture has revolutionized the way farmers manage their businesses. The abundance of data generated in the process, often referred to as agricultural 'Big Data', offers immense opportunities to improve the efficiency, sustainability and profitability of farms. In this context, Business Intelligence (BI) becomes crucial for analyzing and making the most of this massive data. It enables farmers and agricultural businesses to make informed decisions based on accurate, real-time information. Thus, our study focused on the critical function that business intelligence (BI) plays in providing insightful guidance and tools for thoughtful decision-making in an environment of diverse and multifaceted agricultural digital data. After defining the fundamental concepts of BI and presenting some theoretical considerations, we illustrated these concepts using predefined reports and the decision-making process based on data from an organization supporting agricultural producers in Lubumbashi. Finally, we present some useful indicators and show how these numerical values influence decision-making in the operation of the above-mentioned Non-Governmental Organization (NGO). [ABSTRACT FROM AUTHOR]