Opengov, Inc.

Matthew Seal

Gabor Melli

Gurdas Nijor

Morgan Keys

Techniques are disclosed herein for selecting a predictive model to perform on a set of hierarchical data. A selection of first time series data representing activity observed in a current period in a first hierarchy is received. Second time series data representing activity observed in a prior period in the first hierarchy is retrieved. Predictive models are performed using the second time series data as input, where each predictive model generates statistical outcomes for the current period. A score is generated in each of the plurality of predictive models based on a comparison of the statistical outcomes with the first time series data. Each of the predictive models is ranked based on the generated scores.

Auto-selection of hierarchically-related near-term forecasting models

Techniques are disclosed for generating a visualization of an organized hierarchy structure. An editor tool may receive, via a user interface displaying a graphical representation of a tree structure of a plurality of elements, a selection of an element. The tree structure is generated from a plurality of subtrees based on reference data associated with the underlying organized hierarchy structure. The editor tool identifies one or more hierarchy paths in the tree structure associated with the selected element. A visualization of the identified hierarchy paths is generated and presented via the user interface.

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Sunnyvale, CA, United States of America

Matthew Seal