RR-12 RR-12-05-02 — Data Platform, Analytics and ML
This process involves the collection, analysis, and utilization of data from various systems to enhance operational efficiency and safety in a US Class I freight railroad. It focuses on integrating real-time data from dispatching, terminal operations, and equipment health management systems to optimize train schedules, reduce dwell times, and ensure compliance with regulatory standards.
🗺 BPMN Process Flow
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📋 Process Attributes
| Process ID | RR-12-05-02 |
|---|---|
| Domain Family | CORPORATE |
| L1 Domain | Technology, Data & Cybersecurity |
| L2 Process Group | Data Platform, Analytics and ML |
| Trigger | Daily operational start-up or detection of an anomaly in the system |
| Outcome | Optimized train schedules, reduced terminal dwell times, enhanced safety through real-time monitoring, and improved decision-making based on data analytics. |
| Systems | NetControl I-ETMS Cybersecurity — 'secure-by-design' approach (unbranded) |
| Regulatory Hooks | 49 CFR Part 232 GCOR 6.28 |
📋 L4 Process Steps
| Step | Name | Role | System | Input | Output | KPI | Pain Point / Risk | Decision? | Exception? |
|---|---|---|---|---|---|---|---|---|---|
| 1.1 | Data Collection Initiation | CIO | NetControl | System logs, sensor data | Collected data | Data collection rate above 95% | Inconsistent data quality from various sources | N | N |
| 1.2 | Data Integration and Cleaning | Enterprise Architect / Platform Owner | NetControl, I-ETMS | Collected data | Cleaned and integrated data | Data integration accuracy above 98% | Handling missing or corrupted data | N | Y |
| 1.3 | Anomaly Detection | Train Dispatcher | NetControl, I-ETMS | Cleaned and integrated data | Anomaly report | Anomaly detection rate above 90% | False positives leading to unnecessary investigations | Y | Y |
| 1.4 | Root Cause Analysis | Service Design / Network Planning Analyst | NetControl, I-ETMS | Anomaly report | Root cause analysis report | Root cause identification within 24 hours of detection | Complexity in identifying root causes across multiple systems | Y | N |
| 1.5 | Action Plan Development | VP Network Planning & Operations | NetControl, I-ETMS | Root cause analysis report | Action plan | Action plan implementation rate above 95% | Resource allocation and prioritization of actions | Y | N |
| 1.6 | Action Plan Execution | Train Dispatcher, Control Operator | NetControl, I-ETMS | Action plan | Execution report | Action plan execution rate above 90% | Coordination across multiple departments and systems | N | Y |
| 1.7 | Performance Monitoring | Enterprise Architect / Platform Owner | NetControl, I-ETMS | Execution report | Performance metrics | KPIs met above 85% | Continuous monitoring of performance against KPIs | Y | N |
| 1.8 | Feedback Loop | CIO | NetControl, I-ETMS | Performance metrics | Feedback report | Feedback loop completion rate above 90% | Ensuring feedback is actionable and integrated into future processes | N | Y |
| 1.9 | Continuous Improvement | Enterprise Architect / Platform Owner | NetControl, I-ETMS | Feedback report | Improved process documentation | Process improvement rate above 80% | Balancing continuous improvement with operational stability | Y | N |
| 1.10 | Regulatory Compliance Check | Chief Dispatcher | NetControl, I-ETMS | Process documentation | Compliance report | Regulatory compliance rate above 98% | Ensuring all regulatory requirements are met | Y | N |
| 1.11 | Security Audit | CIO | Cybersecurity — 'secure-by-design' approach (unbranded) | Process documentation | Security audit report | Security incident rate below 1 per million train movements | Protecting sensitive data and ensuring system security | Y | N |
| 1.12 | Final Review and Reporting | Chairman, President and CEO (plan sponsor level) | NetControl, I-ETMS | Compliance report, security audit report | Final report to stakeholders | Stakeholder satisfaction rate above 90% | Communicating complex data insights to non-technical stakeholders | N | Y |
📊 KPIs & Risk Register
KPIs
Data collection rate above 95% Data integration accuracy above 98% Anomaly detection rate above 90% Root cause identification within 24 hours of detection Action plan implementation rate above 95% Action plan execution rate above 90% KPIs met above 85% Feedback loop completion rate above 90% Process improvement rate above 80% Regulatory compliance rate above 98% Security incident rate below 1 per million train movements Stakeholder satisfaction rate above 90%
Key Risks
Data quality issues leading to inaccurate analysis Inefficient anomaly detection and response times Resource constraints affecting action plan execution Regulatory non-compliance due to process errors Security breaches compromising sensitive data
Swim Lanes
CIO · 1.1, 1.8, 1.11, 1.12 Enterprise Architect / Platform Owner · 1.2, 1.7, 1.9 Train Dispatcher · 1.3, 1.6 Service Design / Network Planning Analyst · 1.4 VP Network Planning & Operations · 1.5 Control Operator · 1.6