Data Enrichment Process for Mobile Banking Noise Reduction
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Solution Overview
Problem
Data transmitted in systems like mobile banking often suffer from errors or imprecisions due to transmission conditions, necessitating reliable data enrichment processes to ensure accurate service implementation.
Innovation Solution
A data enrichment process implemented in computer means that receives multiple data sets, groups them based on similarity, adds labels characterizing the groups, and verifies these labels by searching databases, removing labels if the data combinations are absent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data are transmitted in mobile banking systems, then service accessibility is improved, but data reliability deteriorates due to errors and imprecisions introduced during transmission
Solution Approach 1:
The patent applies preliminary action by performing data enrichment and noise reduction processing before data transmission and validation. The system pre-processes data to reduce noise levels and enriches data with additional information before transmission occurs, thereby maintaining reliability while enabling service accessibility. The validation step also acts as a preliminary check to ensure data quality before it is used in banking operations.
Solution Approach 2:
The patent implements feedback mechanisms through the validation step that checks enriched data against known patterns and databases. The system provides feedback on data quality by identifying and flagging erroneous or imprecise data, allowing for correction and retransmission. This feedback loop ensures that data reliability is maintained while enabling continuous service accessibility.
2Reliability
If data enrichment processing is applied to reduce noise levels, then data reliability is improved, but processing time increases
Solution Approach 1:
The patent applies partial action by selectively processing only the portions of data that require enrichment or noise reduction, rather than processing all data uniformly. The system identifies specific data elements that need attention and applies processing only to those, thereby reducing overall processing time while still improving data reliability where needed.
Solution Approach 2:
The patent utilizes parameter changes by adjusting processing intensity and thresholds based on data characteristics. The noise reduction process dynamically modifies processing parameters such as filtering strength and validation thresholds, allowing the system to achieve adequate data reliability with minimal processing time by adapting to the specific conditions of each data set.
3Measurement precision
If multiple databases are searched to validate labels, then data accuracy is improved, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the validation process into distinct stages and separating database search operations into modular components. The system segments the search across multiple databases in a structured manner, validating labels against different data sources in sequence or parallel based on requirements. This modular approach improves data accuracy through comprehensive validation while managing system complexity through organized, reusable validation modules.
Data Source
AI summary
A data enrichment process including: a) receiving several sets of data, each set of data including fundamental data and metadata; b) grouping the sets of data based on fundamental data according to a similarity function; c) enriching each set of data with a label which characterizes the group to which the set of data belongs; d) for each enriched set of data, searching for a combination of one part at least of the metadata and the label from the enriched set of data in a database storing sets of data each including metadata and a label; and e) removing the label from the enriched set of data if the combination of one part at least of the metadata and the label from the enriched set of data is absent from the database.