Challenge 6
SIGNAL delivered SIGNAL (Schedule Intelligence and Guidance for Noticing At‑Risk Lines), a production‑ready data enhancement and alerting engine that turns raw schedule and capacity data into early‑warning signals. The solution enriches datasets with drift metrics, risk scores, behaviour archetypes and plain‑English recommendations, ready for Power BI dashboards and proactive intervention.
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Enables earlier, more confident action by converting complex delivery data into prioritised risks and automated recommendations, reducing late recovery effort and improving confidence in committed work.
3.0 Solution/signal_enhance.py: Core data enhancement engine that calculates drift, risk scores, behaviour archetypes and outputs Power BI‑ready CSVs.3.0 Solution/signal_notify.py: Notification and escalation module integrating with Microsoft Teams and email to alert the right roles.4.0 Supporting Documentation/README.md: Overview of the SIGNAL approach, pipeline and outputs.4.0 Supporting Documentation/activity_data_ENHANCED.csv: Enhanced activity dataset with risk categories, traffic lights and recommended actions.
team: SIGNAL members: tbc topics: solution-centre, hack27, challenge6, python, power-bi, scikit-learn, rule-based-models, clustering, microsoft-teams, delivery-confidence, early-warning, schedule-intelligence, capacity-management, decision-support technologies: Python, Power BI, scikit-learn, rule-based-models, clustering, Microsoft Teams