Abstract: Multidimensional databases are well-suited for viewing data at different levels of detail. Graph databases are well-suited for modeling data sets with complex relationships. A novel platform for analysis and planning is enabled by linking multidimensional and graph databases. Graphs are data structures stored in graph databases. Graphs use nodes and edges to model data elements, some of which are derived. A graph is traversed to derive new data elements. To perform analysis on the graph data elements, graph traversal paths are stored as tuples in a fact table. This fact table is in turn loaded into the multidimensional database by mapping the fact table's attribute columns to dimensions of the multidimensional database.

Abstract: A system for visual modification of data. The system comprising, an interface layer for displaying data and for receiving one or more visual inputs for modifying data; a data layer for storing data; and an analysis engine layer for connecting the interface layer and the data layer, wherein the analysis engine layer is configured to receive the one or more visual inputs from the graphical interface for modifying the graphical representation; modify the underlying data based on the visual inputs; modify a derived data based on the modified underlying data; and transfer the modified derived data to the interface layer for display.

Abstract: Multidimensional databases are well-suited for viewing data at different levels of detail. Graph databases are well-suited for modeling data sets with complex relationships. A novel platform for analysis and planning is enabled by linking multidimensional and graph databases. Graphs are data structures stored in graph databases. Graphs use nodes and edges to model data elements, some of which are derived. A graph is traversed to derive new data. elements. To perform analysis on the graph data elements, graph traversal paths are stored as tuples in a fact table. This fact table is in turn loaded into the multidimensional database by mapping the fact table's attribute columns to dimensions of the multidimensional database.

Abstract: Multidimensional databases are well-suited for viewing data at different levels of detail. Graph databases are well-suited for modeling data sets with complex relationships. A novel platform for analysis and planning is enabled by linking multidimensional and graph databases. Graphs are data structures stored in graph databases. Graphs use nodes and edges to model data elements, some of which are derived. A graph is traversed to derive new data elements. To perform analysis on the graph data elements, graph traversal paths are stored as tuples in a fact table. This fact table is in turn loaded into the multidimensional database by mapping the fact table's attribute columns to dimensions of the multidimensional database.

Abstract: A system for visual modification of data. The system comprising, an interface layer for displaying data and for receiving one or more visual inputs for modifying data; a data layer for storing data; and an analysis engine layer for connecting the interface layer and the data layer, wherein the analysis engine layer is configured to receive the one or more visual inputs from the graphical interface for modifying the graphical representation; modify the underlying data based on the visual inputs; modify a derived data based on the modified underlying data; and transfer the modified derived data to the interface layer for display.

Abstract: Multidimensional databases are well-suited for viewing data at different levels of detail. Graph databases are well-suited for modeling data sets with complex relationships. A novel platform for analysis and planning is enabled by linking multidimensional and graph databases. Graphs are data structures stored in graph databases. Graphs use nodes and edges to model data elements, some of which are derived. A graph is traversed to derive new data elements. To perform analysis on the graph data elements, graph traversal paths are stored as tuples in a fact table. This fact table is in turn loaded into the multidimensional database by mapping the fact table's attribute columns to dimensions of the multidimensional database.

Abstract: Implementations generally relate to cost and profitability planning. In some implementations, a method includes constructing a graph data structure based on supply chain information and financial information. The method also includes computing cost information and profitability information based on the graph data structure. The method also includes generating a grid model from the cost information and the profitability information, where the grid model includes measures that are associated with dimension members arranged in hierarchies.