Starting v2024 R3 CATIA Magic (Cameo) projects are indexed by 3DEXPERIENCE platform powerful data intelligence engine - SGE (Semantic Graph Index). If you commit project to 3DX using Power'By (alternative for Teamwork Clould) you will have access to powerful dashboards engine (from our brand NETVIBES) covering not only MBSE, SysML and projects history but also data from full engineering lifecycle from requirements to design, manufacturing, analysis, and V&V.
Key values
- Mission Alignment
Ensures end-to-end alignment from mission requirements through functional and logical architecture, across all disciplines (including software), up to certification. - Quantified, Data-Driven Decisions
Provides real-time insights into specifications, traceability, and metrics, enabling informed decision-making and risk management. - Comprehensive Traceability
Gives systems engineers full visibility of requirement coverage and change impact, reducing costly errors and improving compliance. - Performance and Validation
Tracks specification changes, supports validation, and enforces design compliance to enhance overall project performance. - Collaboration Across Teams
Aligns teams and stakeholders around a single source of truth, improving coordination, efficiency, and confidence in certification outcomes.
Solution architecture:
Demo of dashboards engine with few possible dashboards for MBSE:
Out of the box dashboard for Traceability:
Role Overview
- Systems Intelligence Analyst is a new Data Science Experience that goes one step further by enforcing alignment from the mission to architecture (functional and logical) of all disciplines including software until certification.
- It empowers systems engineers with actionable intelligence deried from quantified data within specification datasets. By providing a dedicated, data driven perspective on system traceability, Systems Intelligence Analyst solution offers deeper insights into project performance, enabling more informed and confident decision making. Project managers can gain access to wide range of metrics that provide comprehensive view of system dependencies, requirements and progress allowing them to identify potential risks, optimize processes and ensure better alignment with project goals. This enhanced visibility ensures a more efficient and effective engineering workflow.
Benefits
- Monitor traceability metrics evolution and enable project convergence
- Data Science Experience approach to reveal and analyze engineering synthesis among heterogeneous data set for better project control
- Improve design alignment by ensuring that the system design is aligned with the original requirements, reducing gaps between what was specified and what was designed
- Enhance the overall validation process, helping to avoid costly mistakes by ensuring changes to the specifications are managed effectively
Highlights
- Analyze the traceability dataset with multiple breakdown views to gain a comprehensive view across different system components and levels ensuring clear relationships between requirements, design and validation.
- Compliance Monitoring across Specification levels: Provide KPI’s to measure how well each specification level aligns with the higher-level and lower-level systems specification, ensuring consistent requirement traceability
- Allow design compliance verification by measuring design against specification helping to identify deviations / gaps
- Ensure specification validation assessment by measuring the specification validation
- Offer decision makers and systems architect a dynamic, real-time dashboard to monitor KPI’s related to compliance, design alignment and validation coverage enabling informed decision making
