BI Artifact Classification for Staged Decommissioning
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Solution Overview
Problem
Business Intelligence environments become crowded with non-essential, redundant, sub-optimal, and burdensome artifacts due to frequent revisions, leading to maintenance challenges.
Innovation Solution
An automated, multi-stage decommissioning method for BI artifacts using a supplemental system that classifies artifacts based on behavior, state, and usage patterns, initiating a decommissioning process on identified target artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple users author and revise BI artifacts in a BI environment, then the functionality and versatility of the BI environment is improved, but the quantity of BI artifacts increases leading to a crowded environment with non-essential and redundant artifacts
Solution Approach 1:
The system automatically identifies and decommissions non-essential, redundant, sub-optimal, and invalid BI artifacts through classification and multi-stage decommissioning processes, while preserving essential artifacts. This resolves the contradiction by selectively removing unnecessary artifacts that accumulate from multiple user revisions, thereby reducing the quantity of BI artifacts while maintaining the versatility of the BI environment.
2Reliability
If BI artifacts are retained in the environment for historical reference and potential future use, then the reliability and completeness of the BI environment is improved, but the maintenance burden and complexity increase
Solution Approach 1:
The system implements a multi-stage decommissioning process that carefully evaluates and removes only non-essential artifacts while preserving essential ones. This approach maintains the reliability and completeness of the BI environment by retaining necessary artifacts, while simultaneously reducing maintenance complexity by eliminating non-essential artifacts through automated classification and decommissioning.
Solution Approach 2:
The system performs automated classification and decommissioning of BI artifacts without requiring manual intervention for each artifact. The automated processes identify, classify, and decommission non-essential artifacts, reducing the maintenance burden and complexity while preserving essential artifacts, thereby resolving the contradiction between reliability and maintenance complexity.
3Measurement precision
If manual review and classification of each BI artifact is performed, then the precision of artifact evaluation is improved, but the time and resources required for decomposition increase
Solution Approach 1:
The system performs automated classification and evaluation of BI artifacts using classification processes that assess artifact characteristics, usage patterns, and essentiality. This automated approach maintains measurement precision by systematically evaluating artifacts while dramatically reducing the time and resources required compared to manual review, thereby resolving the contradiction between evaluation accuracy and decommissioning time.
Solution Approach 2:
The system replaces manual mechanical review processes with automated computational classification and evaluation mechanisms. This substitution maintains or improves evaluation precision through systematic automated assessment while significantly reducing the time and human resources required, resolving the contradiction between measurement precision and time loss.
4Reliability
If a multi-stage decommissioning process is implemented, then the safety and reliability of artifact removal is improved, but the complexity of the decommissioning process increases
Solution Approach 1:
The system implements a multi-stage decommissioning process that segments the artifact removal process into distinct phases: classification, identification of target artifacts, and staged decommissioning. This segmentation improves reliability by carefully evaluating and progressively removing artifacts while minimizing disruption, while the modular staged approach actually reduces overall complexity compared to single-step bulk removal by breaking down the complex task into manageable, systematic steps.
Data Source
AI summary
An automated, multi-stage decommissioning method for business intelligence artifacts may comprise generating a classification for a business intelligence artifact in a business intelligence environment; determining, based on the classification, whether the business intelligence artifact is a target artifact to be decommissioned; and if the business intelligence artifact is determined to be a target artifact, then initiating a decommissioning process on the target artifact.


