Demand for Data Grows in Agriculture

The agriculture industry is increasingly relying on data analytics to improve operations and meet global demand for food. Modern data stacks are becoming critical as businesses need to analyze data from various aspects of their operations, including weather, soil, fertilizer, seeds, equipment, finances, and stock. Big data analytics can boost productivity and innovation in agriculture while helping manage environmental challenges, reducing costs, and improving supply chain management. However, a challenge remains in accessing the necessary resources for data analysis in this sector. Fivetran is highlighted as an effective solution for data integration in agriculture businesses, offering ease of use and cost-effectiveness. The adoption of modern architecture and BI solutions can significantly impact every piece of the agriculture supply chain, with large data companies needing to consider agriculture a serious business.