Aggregation and Analytics for Application-Specific Optimization Based on Multiple Data Sources

摘要

Aggregating and transforming data, and performing analytics thereupon, for application-specific optimization based on multiple data sources. The data is preferably ingressed automatically, and may originate from various public and/or private data sources. Data transformation preferably aligns the data aggregated from the various sources, to thereby allow meaningful referencing. Complex and non-aligned data can therefore be consolidated, such that it is readily digestible by simulation (or other) software. In an embodiment, risk of flooding for a supply chain is computed from the aggregated and transformed data, using data analytics based on physical computation for flood risk assessment, allowing the supply chain to be optimized with regard to threat of flooding and/or actual flooding. In another embodiment, risk of wild fire may be assessed. Other types of risk may also be assessed.

主权项

1. A method for aggregating and transforming data from multiple sources, comprising:
determining a location of interest; determining a plurality of sources of data that describe a physical environment of the location; automatically ingressing, from selected ones of the plurality of sources, the data that describes the physical environment; transforming the ingressed data into data maps that are aligned to one another; and evaluating risk pertaining to the location, using the data maps, by least one of a simulation model and an analytic process.