Salesforce Com, Inc.

Joshua L Sarver

Aaron M Popelka

Luke A Ball

Disclosed are some implementations of systems, apparatus, methods, and computer program products for facilitating the prediction of the quantity and/or qualities of new data objects of a particular data object type to be generated based upon past generation of data objects of the particular data object type. Data that is used to generate predictions is obtained and filtered according to criteria that are configurable. In some implementations, the criteria indicate an industry for which predictions are generated, a geographic region for which predictions are generated, and/or time period criteria indicating a time period for which the predictions are generated. Predictions may be generated using a computer-generated model, which may be associated with the particular data object type.

Intelligent prediction of future generation of types of data objects based on past growth

Disclosed are some implementations of systems, apparatus, methods, and computer program products for performing error rate handling as data is ingested across data sources. Notifications are generated and transmitted according to a hierarchical configuration. The hierarchical configuration includes two or more tiers of notification settings, where each tier corresponds to a different error rate threshold and has a corresponding set of notification parameters. A set of notification parameters can identify one or more sets of individuals to be notified upon determining that the error rate exceeds the corresponding error rate threshold. As the error rate increases, notifications may be generated and transmitted according to further tiers of the hierarchical configuration.

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Brownsburg, IN, United States of America

Joshua L Sarver