Automated Feedback Control for IT Business Alignment
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Solution Overview
Problem
Conventional Project Portfolio Management (PPM) systems rely heavily on subjective data and human intervention, leading to inefficiencies in aligning IT projects with business objectives, particularly in managing resources and complexity within software development processes.
Innovation Solution
An automated system that collects metrics on IT system complexity and compares them to quantified business objectives, using a comparator and controller to adjust resources dynamically, ensuring alignment with established objectives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated feedback control is implemented to align IT metrics with business objectives, then alignment effectiveness and productivity improve, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent implements automated feedback control by continuously collecting IT metrics, comparing them to business objectives, and automatically adjusting resources based on the divergence detected. This closed-loop feedback mechanism enables real-time alignment between IT operations and business goals, resolving the contradiction by making the system adaptive rather than statically complex
Solution Approach 2:
The system performs self-adjustment by automatically detecting misalignment between IT metrics and business objectives and reallocating resources without human intervention. This self-service capability reduces the need for manual portfolio management while improving alignment effectiveness, transforming complexity from a manual burden into an automated function
2Ease of manufacture
If subjective data collection is used in PPM systems, then ease of implementation is maintained, but measurement precision and reliability of alignment deteriorate
Solution Approach 1:
The patent replaces subjective human judgment with automated electronic data collection and analysis systems. Metrics are automatically gathered from IT systems and compared to quantified business objectives using computational algorithms, eliminating the imprecision of subjective assessment while maintaining ease of implementation through software-based solutions
Solution Approach 2:
The system transforms subjective PPM data into objective, quantified parameters that can be automatically measured and compared. By changing the nature of the data from qualitative to quantitative, the patent improves measurement precision while enabling automated processing that maintains ease of implementation
3Adaptability or versatility
If manual resource adjustment is used in PPM, then adaptability to changing conditions is maintained, but response speed and productivity deteriorate
Solution Approach 1:
The patent implements dynamic resource allocation where the system continuously monitors IT metrics and automatically adjusts resource distribution in real-time based on current alignment needs. This dynamic approach maintains adaptability to changing conditions while dramatically improving response speed by eliminating manual decision-making delays
Solution Approach 2:
The automated feedback control system continuously monitors alignment between IT metrics and business objectives, detecting divergences and immediately triggering resource reallocation. This rapid feedback loop maintains adaptability while improving response speed from months or weeks to real-time or near-real-time adjustments
4Reliability
If continuous automated monitoring is implemented, then alignment precision and reliability improve, but loss of time for data collection and processing increases
Solution Approach 1:
The patent implements continuous automated monitoring where data collection, analysis, and resource adjustment occur without interruption throughout the IT project lifecycle. This continuous operation improves alignment reliability by constantly ensuring metrics match business objectives while the automation eliminates manual data collection delays, actually reducing total time loss compared to periodic manual reviews
Data Source
AI summary
A method of aligning development of an information technology system with business objectives can include obtaining at least one metric relating to a development process for the information technology system and comparing the at least one metric with at least one quantified business objective relating to the information technology system to determine a delta between the at least one metric and the quantified business objective(s). The at least one metric can include a measure of complexity of the information technology system and the business objective(s) can specify a complexity threshold. The method further can include selectively increasing, according to the delta, an amount of at least one resource assigned to the information technology system.