Content Bucket Manager for Loan Request Data Standardization
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Solution Overview
Problem
Institutions face challenges in maintaining consistency in treating customers fairly due to unique circumstances surrounding each customer or account, leading to inconsistencies in procedures and data management across different employees and sources.
Innovation Solution
A method and system for standardizing stored content objects through content buckets with predefined properties, tasks, and deadlines, allowing authorized users to fill and manage these buckets consistently across storage areas, and providing a standardized view of their status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If institutions treat each customer with individualized attention based on unique circumstances, then customer service quality improves, but consistency in treatment across different employees deteriorates
Solution Approach 1:
The system segments customer data and content into standardized buckets organized by customer characteristics, account types, and procedural categories. This segmentation allows individualized customer treatment while maintaining consistency through uniform bucket structures and naming conventions across all customer interactions.
Solution Approach 2:
The system changes the parameter of data organization from employee-specific formats to standardized, uniform bucket names and structures. This parameter change enables consistent treatment across employees while still accommodating individual customer needs through the content within standardized frameworks.
2Ease of operation
If employees organize data according to their personal preferences, then ease of data management for individual employees improves, but data consistency across the institution deteriorates
Solution Approach 1:
The system creates universal content buckets that serve multiple functions: they standardize data organization across employees while accommodating individual employee needs for data access and management. The same bucket structure is used institution-wide, ensuring consistency, while employees can efficiently manage their specific customer data within this universal framework.
Solution Approach 2:
The system performs preliminary organization of data into standardized buckets before employees need to access it. This preliminary structuring with uniform naming conventions and categories eliminates the need for employees to create their own organizational systems, ensuring data consistency while maintaining ease of access.
3Quantity of substance
If institutions collect data from multiple external sources, then comprehensiveness of customer information improves, but difficulty in standardizing and reviewing data deteriorates
Solution Approach 1:
The system segments incoming data from multiple external sources into distinct content buckets based on data type, source, and relevance. This segmentation allows comprehensive collection of diverse information while simplifying standardization through consistent bucket naming and categorization across all data sources.
Solution Approach 2:
The standardized bucket structure acts as an intermediary layer between diverse external data sources and the institution's review processes. This intermediary framework translates various data formats and structures into a uniform organization system, reducing complexity while maintaining comprehensiveness.
4Loss of information
If employees retain only selected information based on personal judgment, then relevance of retained data improves, but objectivity in data selection deteriorates
Solution Approach 1:
The system performs preliminary organization of all relevant data into standardized buckets before employee review, ensuring comprehensive and objective capture of information. This preliminary structuring prevents selective retention bias by making all relevant data systematically accessible, while still allowing employees to efficiently identify relevant information within the organized framework.
Data Source
AI summary
A financial-service system that manages content objects includes a chronicles platform with a chronicle associated with a loan request. A content manager determines a set of content objects to be associated with the chronicle and generates a bucket for each content object of the set of content objects. Each bucket is associated with a name and is configured to receive an associated content object. The chronicle is populated with the generated buckets. An interface that detects a user action and that thereafter receives or generates a content object, which is detected by the content manager and associated with a bucket. The content manager causes the bucket to receive the content object and presents representations of the buckets to a user. Representations of one or more buckets that have received a content object differ from representations of one or more other buckets that have not received a content object.