Abstract: A method includes receiving a data reconciliation request requesting data reconciliation for a first dataset and a second dataset. The method also includes obtaining the first dataset including one or more dimensions each having a plurality of dimension members and obtaining the second dataset including one or more dimensions each having a plurality of dimension members. For each dimension of the first dataset, the method includes obtaining a bridge member that associates the respective dimension of the first dataset with a dimension of the second dataset. The method includes generating a first and second set of combination dimension members and refreshing the first and second set of combination dimension members using an execution delimiter value. The method includes generating, using the refreshed first and second set of combination dimension members, a third set of combination dimension members to generate a data reconciliation report.

Abstract: Systems and methods for generating custom applications for querying a multidimensional database of a target platform include, responsive to receiving a custom application request, an application definition is discovered based on data received from one or more sources. The application definition indicates target outputs of the custom application, influencers for each of the target outputs that correspond to members of one or more first dimensions of the multidimensional database, and granularity definitions relative to second dimensions of the multidimensional database for each influencer. Mutually exclusive groups each including two or more target outputs are generated by applying a weighting algorithm to the application definition, and resource-efficient machine written code is dynamically generated based on the groupings and the results of the weighting algorithm.

Abstract: A method includes receiving a data reconciliation request requesting data reconciliation for a first dataset and a second dataset. The method also includes obtaining the first dataset including one or more dimensions each having a plurality of dimension members and obtaining the second dataset including one or more dimensions each having a plurality of dimension members. For each dimension of the first dataset, the method includes obtaining a bridge member that associates the respective dimension of the first dataset with a dimension of the second dataset. The method includes generating a first and second set of combination dimension members and refreshing the first and second set of combination dimension members using an execution delimiter value. The method includes generating, using the refreshed first and second set of combination dimension members, a third set of combination dimension members to generate a data reconciliation report.

Abstract: Systems and methods for generating custom applications for querying a multidimensional database of a target platform include, responsive to receiving a custom application request, an application definition is discovered based on data received from one or more sources. The application definition indicates target outputs of the custom application, influencers for each of the target outputs that correspond to members of one or more first dimensions of the multidimensional database, and granularity definitions relative to second dimensions of the multidimensional database for each influencer. Mutually exclusive groups each including two or more target outputs are generated by applying a weighting algorithm to the application definition, and resource-efficient machine written code is dynamically generated based on the groupings and the results of the weighting algorithm.