Abstract: Techniques and solutions are provided for updating or augmenting consolidated data that is produced using base data. The consolidated data can include data that is aggregated by various grouping criteria. After a set of consolidated data is determined, the base data may change, one or more rules used to calculate the consolidated data may change, or it may be desired to see data that is more granular than that included in the consolidated data. After consolidated data is provided to a user, a user issues a data augmentation request. The data augmentation request causes the base data, which may have been updated, to be processed to provide updated data, where the processing includes grouping operations used in producing the consolidated data. The updated data is provided to a client in response to the data augmentation request.

Abstract: Some embodiments include a system, method, and non-transitory medium, with the method including receiving a specification of one or more influence factors related to a set of reporting data, the set of reporting data including at least one reporting attribute; designating a weight factor to each of the one or more influence factors for each of the at least one reporting attribute; generating, based on the specification of the one or more influence factors and the weight factor designated to each of the one or more influence factors, a reliability index for the at least one reporting attribute; and storing a record of the generated reliability index in a data storage device.

Abstract: Provided are systems and methods for determining a materiality threshold of a local data value for a group data value. In one example, a method includes receiving a group data file and a local data file, identifying a local data value from the local data file and a corresponding confidential group data value from the group data file, determining whether an error or an omission in combining the local data value with the confidential group data value impacts a materiality threshold of the confidential group data value, and generating and displaying a materiality indicator that visually indicates whether the local data value is going to impact a materiality threshold of the confidential group data value. According to various aspects, a user can quickly identify whether a coding process is doing to affect a materiality of a data value from a larger group.

Abstract: Provided are systems and methods for determining a materiality threshold of a local data value for a group data value. In one example, a method includes receiving a group data file and a local data file, identifying a local data value from the local data file and a corresponding confidential group data value from the group data file, determining whether an error or an omission in combining the local data value with the confidential group data value impacts a materiality threshold of the confidential group data value, and generating and displaying a materiality indicator that visually indicates whether the local data value is going to impact a materiality threshold of the confidential group data value. According to various aspects, a user can quickly identify whether a coding process is doing to affect a materiality of a data value from a larger group.