Abstract: Raw data is received that characterizes each of a plurality of transactions. The data can be received, for example, via an adapter coupled to at least one data source. At least one first table is populated using the raw data according to a normalized data model. At least one second table is then populated, by applying a key figure data model to transform and enrich the at least one first table, such that it is optimized for data analysis operations. The at least one second table can include a subset of data stored in the at least one first table and additional enrichment data. At least one data analysis operation can later be initiated on the data populated in at least one second table to characterize one or more aspects of the transactions. Data can be provided that characterizes the initiated at least one data operation.

Abstract: Raw data is received that characterizes each of a plurality of transactions. The data can be received, for example, via an adapter coupled to at least one data source. At least one first table is populated using the raw data according to a normalized data model. At least one second table is then populated, by applying a key figure data model to transform and enrich the at least one first table, such that it is optimized for data analysis operations. The at least one second table can include a subset of data stored in the at least one first table and additional enrichment data. At least one data analysis operation can later be initiated on the data populated in at least one second table to characterize one or more aspects of the transactions. Data can be provided that characterizes the initiated at least one data operation.

Abstract: Various embodiments of systems and methods for simulating energy consumption for a simulation period are described herein. Realized energy consumption profile values for time slices of a simulation period are retrieved. Prior realized energy consumption profile values from corresponding time slices of consecutive previous calendar periods for time slices of the simulation period for which the realized energy consumption profile values are not available are retrieved. Further, time slices of the simulation period for which the corresponding prior realized profile values are not available are identified. For the identified time slices, an estimation of the unrealized energy profile values is computed using synthetic profile values. Furthermore, retrieved realized energy consumption profile values, retrieved prior realized energy consumption profile values, and estimated unrealized energy profile values are used to simulate energy consumption for the simulation period.