Valuable agricultural data was scattered across Excel spreadsheets, PDFs, and complex charts. This structure made it difficult for investors to read the data and make quick decisions.
I had to analyze which pieces of data formed a meaningful whole together. Climate data alone wasn't enough; when combined with water resources and economic indicators, the true picture emerged.
To avoid being limited by existing map plugins, I developed a custom, smoothly running map infrastructure that automatically updates in the background.
Dense data scattered across different sources has been transformed into a dynamic map that can be quickly filtered and read clearly on a single screen.
Sometimes, instead of pushing the limits of existing tools, building a custom system tailored precisely to the project's needs from scratch is a much more permanent solution.