Client Data Assessment Segments for Flexible Usage-Based Billing
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Solution Overview
Problem
Conventional client data management systems are inefficient, inflexible, and fail to effectively communicate client data status, leading to complex resource utilization and client data access configuration issues, particularly in dynamic business environments.
Innovation Solution
A client data management system (CDMS) that utilizes assessment data objects with attributes like trigger conditions and cost per unit, generating time-based assessment segments and events, allowing for flexible and efficient management of client data, including commit and discount models, and supporting various assessment types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single assessment option is provided to simplify client assessment, then ease of operation is improved, but adaptability deteriorates because different client usage patterns cannot be accommodated
Solution Approach 1:
The system transitions from static assessment configurations to dynamic, time-based assessment data segments that can adapt to different client usage patterns. Assessment data segments are defined with time attributes and can be modified over time to reflect changing usage patterns, allowing the system to maintain simplicity while adapting to diverse client needs.
Solution Approach 2:
The system enables modification of assessment parameters including time periods, units of measurement, and cost structures. By allowing these parameters to be changed and redefined, the system can accommodate different client usage patterns while maintaining a unified assessment interface.
2Adaptability or versatility
If assessment options become more complex to accommodate different clients, then adaptability is improved, but device complexity worsens leading to resource utilization and data management problems
Solution Approach 1:
The system segments assessment data into time-based assessment data segments with specific attributes (time period, units of measurement, cost). This segmentation allows complex assessments to be broken down into manageable, standardized components that are easier to configure and manage while maintaining adaptability to different client needs.
Solution Approach 2:
The system creates a universal assessment framework where a single assessment data object can generate multiple time-based assessment data segments. This multi-functional approach allows the system to handle diverse assessment requirements through a unified structure, reducing overall system complexity while maintaining versatility.
3Measurement precision
If conventional systems generate detailed client data reports, then measurement precision is improved, but loss of information worsens due to high number of client queries and confusion
Solution Approach 1:
The system generates assessment reports on periodic cycles (daily, weekly, monthly) rather than providing continuous detailed data streams. This periodic aggregation presents client data in manageable intervals that are easier to understand while maintaining measurement precision through consistent reporting cycles and standardized formats.
Data Source
AI summary
A method of managing data for a client in a computer network, wherein the client has an associated product/service account maintained by a client data management system. The product/service account specifies at least one product/service to be assessed according to a defined plan having assessment data objects which in turn have attributes such as an assessment type, a trigger condition, a unit of measurement, and a cost per unit of measurement. The method includes defining an assessment data segment associated with an assessment data object, the assessment data segment being a time-based application of the assessment data object, and includes attributes such as its associated assessment data object and the assessment data object's attributes, an effective start time, a quantity of units, and a cost. The client's use of the product/service is monitored and assessment events are generated according to the defined assessment data objects and segments.


