Data analytics for agribusiness and energy: from scattered data to decisions

The initial problem

Scattered production, geospatial, and regulatory data that made it hard to make operational and strategic decisions with predictability.

The previous process

Production information was gathered through field visits and manual reports, and the impact of energy regulatory changes was assessed reactively.

The solution we implemented

Two tracks with the same goal: for agribusiness, real-time dashboards, automatic reporting, early evaluation of production anomalies, benchmarking across plots, and an AWS architecture for geospatial analysis and yield forecasts; for energy in Chile, ingestion of legislation, news, and socioeconomic context with reasoning models that correlate regulatory changes with energy costs and anticipate impact scenarios.

Integrated systems

• AWS
• Dashboards
• Geospatial data
• Regulatory and news sources

The result

Fewer unproductive field visits, better resource allocation, and greater operational predictability in agribusiness; and an integrated view of the legal framework and economic reality for energy planning.