Centralized Testing Data Provisioning Platform

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Solution Overview

Problem

Conventional testing platforms have disparate and disjointed applications for managing testing data, leading to inefficiencies and challenges in data conditioning, provisioning, and security, particularly in ensuring data quality and availability for application development.

Innovation Solution

A centralized, automated, and integrated platform for managing and provisioning testing data, which includes tools for mining, reserving, conditioning, and synthesizing data, using a processor, communication interface, and memory with executable code to provide customized testing data dynamically and securely.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional testing platforms use disparate and disjointed applications to manage testing data, then data management flexibility is maintained, but system complexity and difficulty in maintenance increase

Engineering Contradiction:

Improvedata management flexibilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent merges multiple disparate applications into a single centralized platform that handles data mining, reservation, conditioning, and provisioning. This unified system reduces overall system complexity while maintaining the functional versatility of managing testing data through integrated workflows and a common user interface.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The centralized platform is designed as a universal system that performs multiple functions including data mining, reservation, conditioning, and provisioning through a single architecture. This multi-functional approach eliminates the need for separate specialized applications while preserving adaptability for different data management needs.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Manufacturing precision

If manual data conditioning and provisioning processes are used, then control over data quality is maintained, but productivity and time efficiency decrease

Engineering Contradiction:

Improvedata quality controlVSAvoiddata provisioning efficiency

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The system implements automated data conditioning and provisioning processes that self-manage data transformation, filtering, and preparation. The automated workflow maintains data quality through built-in validation rules while significantly improving productivity by eliminating manual intervention in routine data provisioning tasks.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The platform performs preliminary data conditioning actions automatically during the provisioning process, including data filtering, transformation, and validation before data is made available for testing. This advance preparation ensures data quality is pre-established while accelerating the overall provisioning speed.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If centralized automated platform is implemented, then productivity and automation extent increase, but device complexity increases

Engineering Contradiction:

Improvedata provisioning efficiencyVSAvoidplatform complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The centralized platform is segmented into distinct functional modules including data mining, reservation, conditioning, and provisioning subsystems. This modular architecture manages overall system complexity by organizing complex functions into manageable, independent components that can be developed, maintained, and scaled separately while working together to achieve high productivity.

Inventive Principle:

Principle #1Segmentation

4Ease of operation

If testing data is made easily accessible, then ease of operation improves, but data security and sensitivity protection worsen

Engineering Contradiction:

Improvedata accessibilityVSAvoiddata security risk

Core Design Contradiction:

Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The platform introduces an intermediary layer between data sources and users that handles all data access requests through controlled workflows. This intermediary system maintains ease of operation by providing a user-friendly interface while protecting data security through automated validation, authorization, and conditional data release mechanisms.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements feedback mechanisms that continuously monitor data access patterns, user behavior, and data quality metrics. This feedback enables the system to dynamically adjust security protocols and access controls to maintain both ease of operation and data protection, adapting to changing operational needs while preventing security risks.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10802948B2Integrated testing data provisioning and conditioning system for application development

Publication Date: 2020.10.13 BANK OF AMERICA CORP

AI summary

Embodiments of the present disclosure provide a system, computer program product, and method for providing a centralized, automated, and integrated platform for management and provisioning of testing data. In particular, the integrated platform may provide users with a comprehensive interface through which the user may procure and/or customize data for the purposes of testing an application within a testing environment before migrating the application to a production environment. In this regard, the integrated platform may comprise various applications that allow users to migrate, mine, verify, condition, sanitize, reserve, synthesize, and/or provision testing data, among other such functions.