🔍 A real-time analytics solution to visualize SLA breaches, monitor team performance, and predict support trends — built with Python for JIRA-based workflows.
This project offers a visual monitoring system for support teams using JIRA. It tracks SLA status, breach risks, team performance, and historical trends — all in a dashboard format.
Help support managers take data-driven decisions, reduce ticket resolution delays, and maintain high SLA adherence.
- 📈 Dynamic SLA breach visualization (line, bar, pie)
- 🧠 Visual alerts for SLA-critical areas
- ⏱️ Real-time ticket status per agent/category
- 💼 Team-based performance comparison
- 📤 Dashboard-ready CSV export options
- 🔄 Built using Plotly, Pandas & open APIs
- 📁 Sample dataset + easy-to-plug data templates
- Support Managers tracking real-time KPIs
- Tech Leads optimizing ticket loads
- Ops Teams handling SLA compliance
- Engineers automating JIRA analytics
- 📄 IJARIIT Research Paper: Smart Dashboard for SLA Monitoring
- ✍️ Dev.to: Visualize SLA Breaches, Trends & Team Performance
- 📝 Medium: How I Built a Smart SLA Dashboard
git clone https://github.com/aroojjaved93/Smart-support-analytics-dashoard.git
cd Smart-support-analytics-dashoard
pip install -r requirements.txt
python dashboard.py
✅ Sample data provided inside data/. You can connect your JIRA API or upload CSV export.
🙌 Contributions Welcome
Star ⭐ | Fork 🍴 | Share 🔁
Feel free to open issues, suggest features, or contribute directly. Let’s improve support analytics together!
📩 Contact
Built by Arooj Javed
- 🔗 GitHub: @aroojjaved93
- ✉️ Email: available on profile
- 🌍 Location: Pakistan 🇵🇰
📌 This project is part of a broader research initiative to enhance support systems with data-driven tools.
Let me know if you'd like a PDF, DOCX, or image banner version of this README. |oai:code-citation|