Data Translator for Disparate Database Integration
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Solution Overview
Problem
Current database management systems for call centers lack efficient methods to collect and analyze consumer data across disparate systems, leading to ineffective consumer contact strategies and suboptimal resource allocation.
Innovation Solution
The Data-Translator system collects consumer account information from various data sources, scores consumer contactability and liquidity, and devises tailored contact strategies for automatic execution by accessing multiple database systems through universal variables, facilitating data translation, report generation, and scheduled data updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is collected from multiple disparate database systems, then data comprehensiveness is improved, but system complexity increases
Solution Approach 1:
The patent introduces a data translator as an intermediary component that sits between multiple disparate database systems and the analysis system. This translator standardizes data formats and protocols, enabling comprehensive data collection from diverse sources without directly increasing system complexity. The translator acts as a buffer that handles the complexity of data integration internally while presenting a unified interface to the rest of the system.
Solution Approach 2:
The data translator is designed with universal functionality to handle multiple database systems through a single unified interface. It can translate between various data formats and protocols, making the system capable of collecting comprehensive data from disparate sources without requiring separate integration mechanisms for each database type. This multi-functionality reduces overall system complexity while maintaining data comprehensiveness.
2Reliability
If consumer data is scored and analyzed, then contact strategy effectiveness is improved, but processing time increases
Solution Approach 1:
The system performs preliminary scoring and analysis of consumer data in advance, before contact strategies are executed. By pre-calculating contactability scores and liquidity assessments, the system prepares contact strategies ahead of time, reducing the processing time required during actual contact operations. This preliminary action ensures that when contacts are made, the strategies are already optimized based on prior analysis.
Solution Approach 2:
The data scoring and analysis system operates autonomously, automatically evaluating consumer data and generating contact strategies without requiring manual intervention. This self-service capability continuously processes data in the background, maintaining up-to-date contactability assessments while minimizing the time impact on operational contact activities. The system serves itself by automatically updating scores and strategies as new data becomes available.
Data Source
AI summary
The APPARATUSES, METHODS AND SYSTEMS FOR A DATA TRANSLATOR (“Data-Translator”) implement an application on a computerized system, whereby the Data-Translator may collect consumer account information from a variety of data sources, arrange the collected data to score each consumer with regard to their contactability, and devise consumer-specific contact strategies for automatic execution. In one embodiment, the Data-Translator may translate imported consumer data updates into a format complying with existing consumer data records in the database, and incorporate the updates into the related consumer data records.