Keyword Identification for ERP Financial Data Classification
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Solution Overview
Problem
In organizations with multiple procurement departments, financial data classification is hindered by inconsistent terminology and the absence of standardized identification numbers for goods and services across departments, making it difficult to analyze and track procurement transactions effectively.
Innovation Solution
A system that cleanses financial entries by removing unnecessary information, identifies keywords, and matches them with a database to assign corresponding commodity identification numbers, updating the entries for accurate classification and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple procurement departments enter financial data independently, then each department can track its own transactions, but inconsistent terminology and lack of standardized identification numbers make data analysis difficult
Solution Approach 1:
The system transforms unstandardized financial entry data into standardized classification data by changing the parameters of identification numbers and terminology. The classification program analyzes keywords in financial entries and automatically assigns standardized commodity identification numbers, thereby resolving the inconsistency while preserving departmental entry autonomy
Solution Approach 2:
The classification program acts as an intermediary between raw financial data entry and analytical processing. It receives diverse financial entries from multiple departments, applies classification rules and keyword matching, and outputs standardized classified data that can be reliably analyzed across departments
2Measurement precision
If standardized identification numbers are implemented across all departments, then data consistency improves, but the complexity of the classification system increases
Solution Approach 1:
The classification program performs self-service by automatically analyzing financial entry keywords and assigning appropriate commodity identification numbers without requiring manual intervention. The system uses predefined classification rules and database lookups to autonomously standardize data, reducing the need for complex manual classification processes
Solution Approach 2:
The system performs preliminary classification action by assigning standardized commodity identification numbers at the time of financial data entry or shortly thereafter. This preliminary standardization ensures that data is ready for analysis from the outset, preventing the accumulation of unstandardized data that would require complex post-processing
Data Source
AI summary
Financial data that contains a least one financial entry relating to procurement of goods, services, materials and/or items. The financial data is cleansed to remove information contained within the at least one financial entry. The keywords are determined within the at least one financial entry of the financial data and a database that includes a plurality of databases entries is searched for a database entry that corresponds to the keywords determined in the at least one financial entry of the financial data. An identification number in the database entry that corresponds to the keywords determined in the at least one financial entry of the financial data and updating the at least one financial entry of the financial data to include the determined identification number. The updated financial procurement data is transmitted to a computing device.