Business Analytics for Alvia Systems Inc
Portée du projet
Catégories
Visualisation des données Analyse des données Segmentation de la clientèle Expansion du marché Data scienceCompétences
stakeholder engagement jupyter notebook business analytics python (programming language) project files coordinate systems scripting spatial analysis workflow automation data ingestionThe main objective of this project is to equip students with advanced geospatial intelligence and business‐driven spatial analytics skills by integrating provided wildfire maps with oil and gas pipeline datasets to identify high‑risk segments and their owning companies. Leveraging these insights, students will design targeted customer‑acquisition strategies for pipeline operators—using proximity‑based market segmentation and value‑proposition modeling—to drive proactive stakeholder engagement and market expansion. Students will collect and preprocess GIS data, execute spatial overlays and buffer analyses in QGIS/ArcGIS, automate workflows with Python scripts, and synthesize their findings into annotated risk maps and a concise, stakeholder‑ready assessment report.
Project Outcomes and Deliverables
Students will complete the following tasks and produce these deliverables to meet the project goal:
- Data Preparation
- Acquire and preprocess provided wildfire maps and publicly‑available oil and gas pipeline shapefiles.
- Clean and standardize attribute tables, ensuring coordinate systems match.
- Spatial Analysis
- Perform spatial overlay and buffer analyses in QGIS/ArcGIS to identify pipeline segments within defined proximity thresholds of active fire perimeters.
- Join buffer results to company ownership data to tag each high‑risk segment with its operator.
- Automation & Scripting
- Develop a Python script (or Jupyter Notebook) that automates data ingestion, spatial joins, buffer calculations, and map exports.
- Visualization & Reporting
- Generate annotated static maps (QGIS/ArcGIS) highlighting high‑risk segments, buffer zones, and ownership labels.
- Final Deliverables
- Comprehensive Analysis Report detailing data sources, methodology, results, insights, and actionable recommendations.
- GIS Data Package including cleaned shapefiles, project files, and the Python automation script(s).
- Annotated Map Exports (PDF/PNG) of risk zones with ownership callouts.
- Interactive Dashboard Prototype with basic filtering and risk‑visualization capabilities.
- 10–15 Minute Presentation (PowerPoint or PDF) summarizing key findings, maps, and suggested mitigation strategies.
Fournir des connaissances spécialisées et approfondies et l'industrie générale des idées pour une compréhension globale.
Partager des connaissances sur des compétences techniques spécifiques, des techniques, méthodologies requises pour le projet.
Implication directe dans les tâches du projet, en offrant des conseils et démonstration de techniques.
Donner accès aux outils, logiciels et ressources nécessaires pour la réalisation du projet.
Enregistrements programmés pour discuter des progrès, relever les défis et fournir des commentaires.
Causes prises en charge
Les défis mondiaux auxquels ce projet s'attaque, en accord avec les objectifs de développement durable (ODD) des Nations unies. En savoir plus sur les 17 ODD ici.
À propos de l'entreprise
Alvia Systems is a climate mitigation company dedicated to enhancing climate risk transparency and enabling site-level resilience to natural disasters. We specialize in utilizing advanced drone technology and ML-driven analysis to provide precise, comprehensive climate risk assessments for properties, aiding in informed decision-making and proactive disaster preparedness.
Portails
