{"id":1804,"date":"2024-11-20T17:30:07","date_gmt":"2024-11-20T15:30:07","guid":{"rendered":"https:\/\/www.sys-datgroup.com\/velika\/blog\/business-intelligence-in-the-agribusiness-sector-data-for-business-growth\/"},"modified":"2025-04-09T17:18:36","modified_gmt":"2025-04-09T15:18:36","slug":"business-intelligence-in-the-agribusiness-sector-data-for-business-growth","status":"publish","type":"post","link":"https:\/\/www.sys-datgroup.com\/velika\/en\/blog\/business-intelligence-in-the-agribusiness-sector-data-for-business-growth\/","title":{"rendered":"Business Intelligence in the Agribusiness Sector: data for business growth"},"content":{"rendered":"\n

In recent years, the agribusiness sector has gone through a radical transformation, fueled by the adoption of advanced technologies and the strategic use of data. In this context, Business Intelligence (BI)<\/strong> is emerging as the tool to improve business performance<\/strong>, from production to distribution to consumption. Velika, with more than 30 years of experience in the agribusiness sector, presents itself as an essential partner for companies that want to embrace digitization and maximize the potential of BI. <\/p>\n\n

The Agribusiness Sector: data and forecasts for 2025<\/strong><\/h2>\n\n

The Italian agribusiness industry has grown significantly over the past decade, from 53 billion euros in 2012 to about 90 billion in 2023. This growth trend, which has seen a 10 percent increase in the last year alone<\/strong>, is mainly driven by exports. <\/p>\n\n

According to forecasts, in 2024-2025, the sector will continue to expand at rates exceeding GDP growth<\/strong>, consolidating the strategic importance of the industry nationally and internationally.<\/p>\n\n

Forecasts for 2025 are optimistic: Italian food is expected to continue to grow, with exports rising sharply and sectors such as coffee, oil and wine leading the expansion.<\/strong> This scenario offers enormous opportunities, especially for companies that will be able to invest in digitization and data analysis, which are key elements for maintaining competitiveness and innovation. <\/p>\n\n

Source<\/strong> Food Industry Monitor 2024: exports and acquisitions engines growth<\/strong><\/a><\/p>\n\n

What are the brakes on the Food Sector?<\/strong><\/h2>\n\n

Despite its growth prospects, the agribusiness sector is not immune to challenges. In the first half of 2024, foodtech investments suffered a setback, registering a 64 percent decrease compared to the same period in 2023<\/strong>. However, Agritech remains a key sector, with investments confirming its centrality. <\/p>\n\n

Major obstacles to growth include slow adoption of digital technologies <\/strong>and the inability of some companies to adapt quickly to global market changes. The ability to leverage advanced tools such as BI can make a difference in overcoming these obstacles, increasing operational efficiency and improving decision making. <\/p>\n\n

Agribusiness Intelligence: What is it?<\/strong><\/h2>\n\n

Business Intelligence (BI)<\/strong> is a set of processes, technologies, and tools that help companies collect, analyze, and transform raw data into useful information <\/strong>for making strategic decisions. For those running a farm, implementing BI solutions means optimizing production processes<\/strong>, saving resources and gaining a competitive advantage in the market, even in a traditional industry such as agriculture. <\/p>\n\n

In practice, BI allows you to make the most of all the information a business already has or can collect, such as data on crops, production, sales, or customer behavior.<\/strong> For example, if you run a farm, BI can help you monitor field efficiency, predict the best time to plant or harvest, or identify which markets offer the best opportunities to sell your products. <\/p>\n\n

How. Through technology tools that gather information from various business processes and turn it into easy-to-understand reports and analysis. Here are some specific benefits of BI for an agricultural or agribusiness: <\/p>\n\n

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  1. Production monitoring<\/strong>: with data collected from sensors in the fields (e.g., through IoT – Internet of Things<\/strong>), you can monitor factors such as soil quality, moisture, plant growth, or animal welfare in real time. This data can then be analyzed to improve agricultural yields and reduce waste. <\/li>\n\n\n\n
  2. Demand forecasting<\/strong>: BI can analyze historical sales data and combine this information with external factors such as weather or consumption trends<\/strong> to forecast future demand. <\/li>\n\n\n\n
  3. Cost optimization<\/strong>: analyzing data on operating costs (such as energy, water, and fertilizer) allows you to identify areas where you can save money without compromising product quality. For example, you may find that at certain times of the day irrigation is more efficient. <\/li>\n\n\n\n
  4. Traceability management<\/strong>: allows you to monitor and track the entire lifecycle of products, from production to distribution<\/strong> to the end consumer. In this way, you can ensure greater transparency and food safety, increasing consumer confidence. <\/li>\n\n\n\n
  5. Risk prediction and management<\/strong>: by analyzing historical and current data, BI helps identify potential risks such as climate variations or diseases that could affect crops or livestock, allowing preventive decisions to be made to reduce damage.<\/li>\n\n\n\n
  6. Personalization and targeted marketing<\/strong>: with analysis of consumer habits and market trends, you can develop targeted products and marketing strategies.<\/li>\n<\/ol>\n\n

    WMS, ERP, MES: what are they for?<\/strong><\/h2>\n\n

    To implement BI effectively, companies must rely on integrated management systems such as WMS (Warehouse Management System)<\/strong>, ERP (Enterprise Resource Planning)<\/strong> and MES (Manufacturing Execution System)<\/strong>. Let’s look specifically at what these are. <\/p>\n\n