Long monitoring records hold patterns that conventional reporting does not surface. AuroraTech structured and integrated a client’s groundwater and rainfall datasets into one analysable base and applied machine-learning methods to extract them: trend detection, anomaly detection, and, where the data and methods justify it, forecasts and early-warning indicators. Results are delivered as analytical reports, charts and technical summaries that non-specialists can act on, with the methods and their limits stated plainly rather than presented as a black box.
Outcome: trend and anomaly detection running on the integrated record, with forecasting and early-warning indicators where the data support them, giving the client an evidence base for decisions previously made by judgement.
Location
Saudi Arabia
