Through the analysis of historical and experimental data, the service builds custom predictive models for estimating the value of critical parameters in value chains, supply chains, physical ecosystems, and other application areas. Examples include product quality/safety, yield, price fluctuations, climatic conditions in specific areas. The client is provided with the implementation of a model trained on the provided data, with the model’s architecture built using SCiO’s proprietary technology. Monitoring service performance is included in the service, with possible re-training needs and costs foreseen in the service agreement.

Policy makers, organisation decision makers (applicable to different markets including public sector and NGOs), businesses

SCiO

The service builds on variegating data pools comprising multi-dimensional data in order to produce web dashboards that allow users to visualise the underlying information from different perspectives. Through the dashboards users can aggregate and filter data presented to them using filtering criteria designed in collaboration with SCiO. These include spatiotemporal characteristics (i.e, location in different granularities, timespans) as well as features custom to the specific datasets and use cases. 

Policy makers, organisation decision makers (applicable to different markets including public sector and NGOs)

SCiO