Dimensional Model Object for Rapid Data Rotation
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Solution Overview
Problem
Conventional modeling platforms, such as spreadsheets and databases, lack the capability to efficiently generate and manipulate rapidly rotatable dimensional views of data objects, leading to limitations in handling large-scale modeling operations and data manipulation, especially in technical, medical, and financial applications.
Innovation Solution
The development of systems and methods that enable the generation of object-based or object-compatible modeling platforms, allowing for rapid pivoting and rotation of data object dimensions through the use of a rotator widget and dimension linkages, which facilitates seamless data manipulation and communication between local and remote resources, including mainframe platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If mainframe-based modeling software is installed to handle sophisticated modeling applications, then modeling power and data handling capability are improved, but system cost and complexity increase to millions of dollars and require highly skilled professionals
Solution Approach 1:
The patent introduces a dimensional model object as an intermediary data structure that sits between conventional spreadsheet applications and mainframe-based modeling systems. This dimensional model object with its configurable dimensions and cell elements can be manipulated locally and then exported to mainframe systems, eliminating the need for users to directly operate complex mainframe environments while still accessing sophisticated modeling capabilities.
Solution Approach 2:
The patent creates a simplified copy of the mainframe modeling environment in the form of a dimensional model object that can be manipulated using conventional spreadsheet applications. This copy contains the essential structure (dimensions, cells, elements) needed for sophisticated modeling but presents a much simpler interface, allowing users to work with mainframe-level capabilities using familiar tools.
2Ease of operation
If conventional spreadsheet and database applications are used for modeling operations, then ease of operation is improved, but the capability to handle large-scale modeling operations and generate predictive models deteriorates
Solution Approach 1:
The dimensional model object serves multiple functions: it can be created and manipulated using conventional spreadsheet applications (maintaining ease of operation), yet it has the structured format needed for sophisticated predictive modeling and can be exported to mainframe systems (providing enhanced modeling power). This multi-functional design bridges the gap between simple and powerful modeling tools.
Solution Approach 2:
The patent introduces a new dimensional structure with configurable dimensions and hierarchical cell elements that goes beyond conventional spreadsheet rows and columns. This additional dimensional layer enables sophisticated multi-dimensional analysis and predictive modeling while still being accessible through familiar spreadsheet interfaces, effectively adding power without sacrificing ease of operation.
3Adaptability or versatility
If data dimensions in fixed-format data cubes are manually re-defined to change dimension order, then adaptability is improved, but time consumption and operational complexity increase
Solution Approach 1:
The dimensional model object implements dynamic dimension configuration where the order and composition of dimensions can be changed programmatically without manual re-definition. The system allows dimensions to be added, removed, reordered, and reconfigured through automated processes, enabling rapid adaptation of dimensional views for different analysis scenarios without the time-consuming manual intervention required by fixed-format systems.
Data Source
AI summary
Embodiments relate to systems and methods for generating generating a rapidly rotatable dimensional view of data objects. A modeling client can host modeling logic and an application programming interface (API) to create, access, manipulate, and import/export modeling objects used in modeling applications, such as engineering, medical, financial, and other modeling platforms. The source data accepted into the modeling client can include consumer or business-level applications, whose spreadsheet, database or other content can be extracted and encapsulated in object-oriented format, such as extensible markup language (XML) format. A set of dimensions of each model object can be associated via a set of linkages. A rotator widget or other interface object can be presented to allow a user to traverse the linkages and rapidly rotate through dimensions in a view, without having to manually switch or configure planes or other database dimensions, enhancing viewing efficiency of large layers.