mpirical Foresights produces a variety of configurable & interlocking data components that adapt to any existing setup. These enable systematic merging of several disparate datasets along common dimensions. The consolidation framework relies on multi-directional relationship conduits and functionalities such as variables mapping, token mechanisms and built-in connectors. Our data adopts standards like SDMX, SWIFT, FIX, XBRL and so on.
Example schemas implemented using our data assemblies include:

Economic time series

Company information & performance indicators

Financial markets & products

Engineering & manufacturing instrumentations

Operations research

Drug discovery & clinical trials

Longitudinal studies

Policy interventions