Data item aggregate probability analysis system
Computer-implemented systems and methods are disclosed for automatically aggregating, analyzing, and presenting probabilities associated with data items. Data items may be associated with probabilities or risks, and the data items may have various characteristics. A grouping of data items may be determined based on these characteristics, and probabilities within groups of data items may be aggregated and analyzed. Aggregated probabilities may be used to determine incremental probabilities for individual data items, to assess cumulative risk associated with a group of data items, and to analyze probabilities associated with a particular data item group. User interfaces may be generated to facilitate selection and grouping of data items, selection of risk models, and analysis of aggregate probabilities.
1. A system comprising:
a data store configured to store data items and probabilities; and
a processor in communication with the data store, the processor configured to execute specific computer-executable instructions to at least:
determine, based at least in part on a risk model, an event probability associated with a geographic region, the event probability indicating a probability that an event affecting the geographic region will occur;
obtain, from the data store, a plurality of data items, wherein the data items are associated with geographic locations in the geographic region;
for individual data items of the plurality of data items, determine, based at least in part on the risk model and one or more attributes of the data item, a probability that the event will change a first attribute of the data item, and a predicted change to the first attribute of the data item;
determine a probability associated with the geographic region based at least in part on the probabilities that the event will change the first attributes and the predicted changes to the first attributes;
for individual data items of the plurality of data items, determine a probability category of the data item based at least in part on: the event probability associated with the geographic region, the probability that the event will change the first attribute of the first data item, and the probabilities that the event will change the first attribute of other data items of the plurality of data items;
generate for display a user interface including at least a geographic map identifying the geographic region and the geographic locations of the plurality of data items, wherein a first attribute of an icon displayed at the geographic location of a first data item indicates the predicted change to the first attribute of the first data item; and
cause display of the user interface.
2. The system of claim 1 , wherein the data store is further configured to store geographic regions, and wherein the processor is further configured to obtain the geographic region from the data store.
3. The system of claim 1 , wherein the processor is further configured to determine the probability associated with the geographic region based at least in part on one or more previous events associated with the geographic region.
4. The system of claim 3 , wherein determining the probability associated with the geographic region further includes:
determining the probability associated with the geographic region based at least in part on a predicted change to a second attribute of individual data items within the plurality of data items.
5. The system of claim 1 , wherein the geographic map includes at least the geographic region.
6. The system of claim 5 , wherein the geographic map further includes an area of interest.
7. The system of claim 6 , wherein the area of interest comprises at least one of: a storm track, weather track, flood plain, drought zone, earthquake zone, tsunami zone, avalanche zone, tornado zone, volcano zone, or wildfire zone.
8. The system of claim 6 , wherein the area of interest comprises a predicted weather track.
9. The system of claim 6 , wherein the area of interest comprises a geographic route.
10. The system of claim 1 , wherein the user interface further includes at least one of a scatterplot display or a bar chart display.
11. The system of claim 1 , wherein the data store is further configured to store risk models, and wherein the processor is further configured to:
obtain, from the data store, the risk model.
12. The system of claim 11 , wherein the processor is further configured to determine the probability associated with the geographic region based at least in part on the risk model.
13. The system of claim 11 , wherein the processor is further configured to receive, via the user interface, an indication of a selection of the risk model.
14. The system of claim 1 , wherein the processor is further configured to:
receive, via the user interface, an indication of an area of interest;
determine a subset of the plurality of data items, wherein each data item of the plurality of data items is associated with a geographic location within the area of interest;
generate a second user interface, the second user interface including at least the subset of the plurality of data items; and
cause display of the second user interface.
15. The system of claim 1 , wherein the probability category of the data item comprises a high risk category.
16. The system of claim 1 , wherein the probability category of the data item comprises a category of data items having a high risk-to-loss ratio.