Self-Provisioning E-Learning for Business Intelligence Access Control

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Solution Overview

Problem

Conventional business intelligence systems are complex to use and require extensive manual training, which is costly and inefficient, especially with high corporate turnover, limiting user access to necessary information and features.

Innovation Solution

Integration of an electronic learning system within the business intelligence system that allows users to self-provision access to features and reports by completing lessons and passing tests, automating the granting of access privileges and reducing administrator involvement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual training techniques are used for business intelligence system users, then training content can be customized to individual needs, but training costs and time requirements increase significantly with high corporate turnover

Engineering Contradiction:
Improvetraining customizationVSAvoidtraining time and cost
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system enables users to self-provision access to business intelligence objects by automatically completing training modules and passing knowledge checks. Users independently navigate through training content, demonstrate understanding through interactive assessments, and receive automated access privileges without requiring manual administrator intervention for each training completion.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Training modules and knowledge checks are prepared in advance and integrated into the business intelligence system before users need access to specific objects. The training content, assessments, and access privilege mappings are pre-configured so that users can immediately begin learning and gaining access without delays.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If administrators manually grant access privileges based on training completion, then access control can be precisely managed, but administrator workload and system complexity increase

Engineering Contradiction:
Improveaccess control accuracyVSAvoidaccess management complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system automatically manages access privileges by evaluating user training completion status and knowledge check results. The electronic learning system integrates with the access control mechanism to automatically grant or restrict access to business intelligence objects based on verified training completion, eliminating manual privilege assignment.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system continuously monitors user progress through training modules and knowledge checks, using this feedback to automatically determine access privileges. User performance data from assessments feeds back into the access control decision-making process, enabling dynamic and automated privilege management.

Inventive Principle:
Principle #23Feedback

3Productivity

If the business intelligence system provides comprehensive functionality, then user productivity increases, but user confusion and difficulty in accessing appropriate features increases

Engineering Contradiction:
Improveuser efficiencyVSAvoidsystem usability
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The system dynamically adapts the user interface and available functionality based on individual user training status and knowledge levels. Users receive customized views of the business intelligence system that highlight relevant features and objects they are trained to access, while automatically hiding or restricting access to features they have not yet learned.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

Different portions of the business intelligence system are differentiated by access requirements and training needs. The system applies localized training modules and access controls to specific objects or feature groups, allowing comprehensive functionality while presenting only appropriate features to each user based on their local training status.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS8761659B1Integration of e-learning with business intelligence system
Publication Date: 2014.06.24 MICROSTRATEGY INC
  • US8761659B1 patent drawing
  • US8761659B1 patent drawing
  • US8761659B1 patent drawing

AI summary

A business intelligence system comprises a business intelligence interface system that enables users to interface with a business intelligence system and an electronic learning system that delivers electronic learning related to the business intelligence system. The business intelligence interface system enables one or more portions, such as folders of reports, individual reports, metadata or other business intelligence objects, or a report definition, of the business intelligence system for use by a user based on information related to whether the user has engaged in electronic learning associated with the one or more portions. A user may self-provision access by earning a privilege based on reviewing a lesson, passing a test, and/or other activities relative to the business intelligence object. Upon meeting electronic learning criteria, the electronic learning system updates privileges to enable access to the business intelligence object or class of objects.