Financial Data Migration Mapping Mechanism
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Solution Overview
Problem
The complexity of migrating financial data from one financial consolidation application to another, where data classification differs, poses challenges in maintaining consistency and generating reports, especially when transitioning from smaller to larger organization-sized applications.
Innovation Solution
A digital processing system that identifies categories and substructures in the source application, allowing users to map them to corresponding dimensions and custom dimensions in the target application, facilitating the migration of financial data, substructures, and chart logic while maintaining data integrity and report generation capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If financial data is migrated from one consolidation application to another with different data classification, then data transfer capability is improved, but data classification consistency deteriorates
Solution Approach 1:
The patent introduces a mapping mechanism as an intermediary between the source and target consolidation applications. This mapping mechanism translates categories from the source application's data classification into corresponding dimensions in the target application, enabling data transfer while maintaining classification consistency through structured translation rules.
Solution Approach 2:
The patent changes the parameter representation by transforming categories into dimensions with specific values. Instead of directly transferring category labels, the system maps categories to dimensional parameters (such as account, period, scenario dimensions) with corresponding values, allowing the same data to be interpreted consistently across different application structures.
2Manufacturing precision
If manual mapping of categories to dimensions is performed, then data classification consistency is improved, but migration time increases
Solution Approach 1:
The patent performs preliminary action by pre-defining mapping rules and templates that specify how categories should be translated to dimensions. These pre-established mappings allow the system to automatically translate data during migration without requiring time-consuming manual mapping operations, thus reducing migration time while maintaining consistency.
Solution Approach 2:
The system enables self-service migration by automatically executing the category-to-dimension mapping based on predefined rules. The migration process becomes autonomous, where the system translates and transfers data independently without requiring extensive manual intervention, thereby reducing time loss while preserving data classification accuracy.
3Reliability
If comprehensive data mapping is performed, then data integrity is improved, but migration complexity increases
Solution Approach 1:
The patent segments the complex migration process into distinct manageable components: category identification, mapping rule application, dimension value assignment, and data transfer. This segmentation breaks down the complex task of comprehensive data mapping into smaller, more manageable steps, reducing overall migration complexity while maintaining data integrity through structured processing.
Solution Approach 2:
The mapping mechanism serves multiple functions simultaneously: it translates categories, assigns dimension values, validates data structure, and ensures integrity constraints. By making the mapping process multi-functional, the system achieves comprehensive data integrity without proportionally increasing migration complexity, as a single mechanism handles multiple requirements.
Data Source
AI summary
Facilitating the migration of financial data from a first financial consolidation application (FCA) to a second FCA. According to one aspect, transactions classified according to categories in the first FCA are migrated to the second FCA associated with values of dimensions, based on a mapping between the categories and the values of the dimensions specified by a user. According to another aspect, substructures storing break up information related to the transactions in the first FCA are migrated to corresponding subset of dimensions in the second FCA, based on the mapping between the substructures and the subset of dimensions specified by a user. Accordingly to one more aspect, accounts specified according to corresponding conventions in chart logics in the first FCA are migrated to the second FCA as corresponding portions of the account hierarchy, while ensuring that the migrated accounts are computed according to the corresponding convention.