System for computer-aided multidimensional evaluation, analysis and visualization of decision options

Abstract

System for computer-aided multidimensional evaluation, analysis and visualization of decision options, characterized in that it comprises: • an input and data integration module that accepts input data in matrix form, references external documents and databases, and allows variable maximum values ​​per dimension, • a calculation module that determines an ideal target point in the TOS coordinate system (Tactical, Operational, Strategy), calculates Euclidean distances, characteristic indicators, benefit areas (IBX - Integrated Benefit Index), cost / benefit ratios (e.g. benefit-to-effort ratio) as well as Pareto analyses and Pareto front comparisons, and takes heuristic or lem-based threshold logics into account, • a visualization module that displays the results as an interactive 2D or 3D representation with dynamic color, dropline logic, including a cluster visualization using machine learning methods (e.g. K-Means, other machine learning algorithms) for grouping decision options and traffic light diagram representation for the TOS target point, • an interface module that connects external systems and AI models for additional evaluation.

Description

Technical area

[0001] The invention relates to a technical system for the automated evaluation and visualization of decision options in organizations. The system is designed to integrate input data from multiple sources, weight them along freely definable dimensions (e.g., tactical, operational, strategic - TOS), and display the results in an interactive user interface. State of the art

[0002] Existing decision support systems are often limited to one-dimensional indicators or static representations. Existing visualization approaches do not offer a combined option for interactively displaying usable areas, target points, and distance metrics while integrating external data sources. Description of the invention

[0003] The invention provides a system that enables the multidimensional evaluation of decision options in a TOS coordinate system (Tactical, Operational, Strategy).

[0004] The system includes: 1. Input and data integration module ◯ Recording of evaluation parameters in matrix form ◯ Possibility to set variable maximum values ​​per dimension ◯ Referencing external documents (e.g. project descriptions, business goals documents) ◯ Automated inclusion of these documents in the assessment 2. Calculation module ◯ Determination of an ideal target point (TOS) in the multidimensional coordinate system ◯ Calculation of Euclidean distances of each decision option to the target point ◯ Calculation of the Integrated Benefit Index (IBX) as a measure of aggregate benefit and cost / benefit ratios (e.g. benefit-to-effort ratio) ◯ Possibility of variable weighting per dimension ◯ Consideration of heuristic or learning-based threshold logics ◯ Conducting Pareto analyses to identify particularly effective decision options 3. Strategy lenses and KPI bundling ◯ Optional function for automated KPI bundling via predefined strategic perspectives (“Strategic Lenses”) ◯ Automatic pre-selection of suitable key performance indicator combinations (KPIs) for different management objectives (e.g. profitability, portfolio balance, target compliance, prioritization of effective projects) ◯ Pre-selection is based on a predefined heuristic; suggested KPIs can be adjusted or supplemented at any time ◯ Extension of decision support to include methodological guidance; support of Pareto analyses and acceleration of complex portfolio valuations 4. Visualization module ◯ Interactive 2D or 3D representation of all decision options in the TOS coordinate system ◯ Visualization of usable areas and distance indicators in real time ◯ Dynamic color and dropline logic to highlight critical values ◯ Cluster visualization using K-Means / machine learning algorithm ◯ Filter and zoom functions 5. Interface module ◯ Integration of external systems and data sources ◯ Connection of external AI models that provide additional scoring or classification logic Technical effect

[0005] The system enables the display of complex, multidimensional valuation data in real time, making decision options immediately comparable. The combination of variable scaling, document referencing, geometric distance calculation, Pareto analyses, IBX calculation, and interactive visualization creates a novel decision support system and significantly accelerates the execution of complex portfolio analyses through automated KPI bundling. Advantages of the invention • Combined input, calculation and visualization unit • Flexible, user-defined weighting of the evaluation dimensions, including the cost / benefit ratio • Real-time visualization including clustering • Extensibility through AI interfaces and document integration • Automated KPI bundling via strategy lenses for methodological orientation and acceleration of complex portfolio evaluations • Integrated Pareto analyses for the focused selection of particularly effective decision options

Claims

[1] System for computer-aided multidimensional evaluation, analysis and visualization of decision options, characterized by , that it includes: • an input and data integration module that accepts input data in matrix form, references external documents and databases, and allows variable maximum values ​​per dimension, • a calculation module that determines an ideal target point in the TOS coordinate system (Tactical, Operational, Strategy), calculates Euclidean distances, characteristic indicators, benefit areas (IBX - Integrated Benefit Index), effort / benefit ratios (e.g., benefit-to-effort ratio), as well as Pareto analyses and Pareto front comparisons, and takes into account heuristic or lem-based threshold logics, • a visualization module that displays the results as an interactive 2D or 3D representation with dynamic color, dropline logic, including cluster visualization using machine learning methods (e.g., K-means, other machine learning algorithms) for grouping decision options and traffic light scheme representation to the TOS target point, • an interface module that connects external systems and AI models for additional evaluation. [2] System according to claim 1, characterized by , that the weighting of individual evaluation dimensions, including the cost-benefit ratio, can be configured variably by the user. [3] System according to claim 1 or 2, characterized by , that the visualization module displays real-time updated usable areas, distance indicators, Pareto front labels and cluster groupings through machine learning methods. [4] System according to any one of the preceding claims, characterized bythat external documents and database references are automatically linked to the relevant decision options and included in the evaluation, whereby heuristic or learning-based threshold logics can incorporate this information into the analysis. [5] System according to any one of the preceding claims, characterized by , that it includes a function for the automated preselection of key performance indicators (KPIs) via predefined strategic perspectives ("Strategic Lenses") in order to suggest suitable combinations of KPIs in Pareto analyses for different evaluation perspectives, with the preselection being based on heuristic or lem-based threshold logics. [6] System according to any one of the preceding claims, characterized by that all calculations and visualizations, including cost / benefit analyses and clustering using machine learning methods, are performed in real time.

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