Data Assessment Server for CRM Accuracy
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Solution Overview
Problem
Customer relationship management (CRM) systems face challenges in maintaining up-to-date customer data due to frequent changes, leading to lost contacts and negatively impacting business growth.
Innovation Solution
A data assessment method involving a server computing system that receives requests to assess data based on predefined rules and a data source, identifying outdated and missing information, and offering data enrichment options to improve data quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If customer relationship data is frequently updated to maintain accuracy, then data relevance is improved, but data loss and system reliability deteriorate due to frequent changes
Solution Approach 1:
The system performs preliminary data validation and completeness checks before allowing data updates. This ensures that data accuracy is improved through verification while preventing data loss by validating updates before they occur.
Solution Approach 2:
The system implements feedback mechanisms that monitor data quality metrics and trigger alerts when data becomes outdated or incomplete. This allows the system to maintain data relevance by prompting updates only when necessary, rather than through frequent automatic updates that could cause data loss.
2Measurement precision
If data assessment is performed continuously to maintain up-to-date information, then data relevance is improved, but system complexity and resource consumption increase
Solution Approach 1:
The system performs data assessment periodically based on predefined schedules or triggers rather than continuously. This maintains data currency by assessing data at appropriate intervals while reducing system complexity and resource consumption compared to continuous assessment.
Solution Approach 2:
The system allows configuration of assessment parameters such as assessment frequency, data types to assess, and priority levels. This enables the system to adapt assessment intensity to business needs, maintaining data currency while managing system complexity through parameter adjustment.
Data Source
AI summary
Some embodiments of the present invention include a method for performing data assessment. The method includes receiving, by a first server computing system, a request to assess first data stored in a storage device associated with a second server computing system, the request including one or more rules indicating how the first data is to be assessed; performing, by the first server computing system, an assessment of the first data based on the one or more rules and based on a data source associated with the first server computing system, the data source including data provided by one or more data providers, the assessment of the first data including assessing outdated information and missing information based on the data source; and providing, by the first server computing system, an assessment result from the assessment of the first data and an option to engage in an enrichment of the first data based on the assessment result and the data source.