XBRL Data Standardization Platform for Enterprise Integration
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Solution Overview
Problem
Enterprises face challenges in efficiently integrating various types of data from different systems and sources due to the lack of a common proprietary data format, which hinders data localization and globalization, and limits the ability to extract valuable information from vast amounts of data.
Innovation Solution
An XBRL-based global data standardization platform system is developed, comprising an XBRL DataCloud, an XBRL financial reporting intelligence platform, and an XBRL GL interchange platform, which uses XBRL-GL technology to mark and convert business data into a unified standard format, enabling seamless integration and data exchange across systems, and utilizing XBRL standard data exchange channels for data distribution and sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different systems use different software vendors' products and data standards, then each system can operate independently with its own proprietary format, but data integration and exchange between systems become difficult and inefficient
Solution Approach 1:
The patent introduces XBRL as an intermediary standard that mediates between different proprietary data formats. The XBRL tagging system acts as a universal translator that can represent data from various sources (ERP, CRM, supply chain, etc.) in a standardized format, enabling integration without requiring systems to abandon their native formats. This resolves the contradiction by maintaining system independence while providing a common language for data exchange.
Solution Approach 2:
The patent implements a universal XBRL-based data standard that can handle multiple types of business data (financial, operational, supply chain, customer information) across different systems. The standardized data model and tagging system provide multi-functional capability to represent diverse data types uniformly, allowing a single standard to serve multiple integration purposes across various vendors' systems.
2Quantity of substance
If enterprises accumulate vast amounts of data from various sources, then more information is available for analysis, but extracting valuable information becomes more difficult due to data heterogeneity
Solution Approach 1:
The patent applies homogeneity by standardizing heterogeneous data from multiple sources into a unified XBRL format. By tagging all data with consistent XBRL elements and attributes, the system transforms diverse data types into a homogeneous structure that is easier to process, analyze, and extract value from. This resolves the contradiction by maintaining data volume while reducing extraction difficulty through format unification.
3Reliability
If data is transmitted between different systems using proprietary formats, then each system maintains its data standards, but model transformation errors increase and data accuracy decreases
Solution Approach 1:
The patent uses XBRL as an intermediary representation layer that preserves the original proprietary formats while providing a standardized transmission format. Data is tagged with XBRL elements during transmission, allowing receiving systems to interpret the data according to their own standards while maintaining accuracy. This eliminates transformation errors by providing a lossless intermediate representation that captures the full meaning of the source data.
Data Source
AI summary
The invention relates to a data standardization technology, and discloses an XBRL-based global data standardization platform system and a construction method thereof, so as to efficiently and conveniently integrate various types of data, and implement the data localization and globalization. The system comprises an XBRL DataCloud (XDC), an XBRL financial reporting intelligence platform (FRinp), an XBRL GL interchange platform (GLinp) and an XBRL standard data exchange channel deployed for operation on a server, wherein the XBRL DataCloud (XDC) designs the BIM data architecture of business data based on an abstract data model (ADM), the XBRL financial reporting intelligence platform (FRinp) establishes an extended group taxonomy system (GTS) based on the XDC business report data; the XBRL GL interchange platform (GLinp) establishes a mapping model from XDC to GL taxonomy by the other data except business report data in XDC according to data classification, solidifies the data mapping channel, parses the GL taxonomy through the XBRL intelligence engine (XIE), and automatically maps the relationship between the XDC business data elements and the XBRL GL taxonomy elements; and the XBRL standard data exchange channel is an export of standardized data.