[PROJ-005] ✅ Done 🟡 Medium 📊 Data Analysis

Infrastructure Cost & Usage — Budget & Forecast

Epic
Cloud · SaaS · FinOps
Type
📊 Data Analysis
Technology
GCP · AWS · Azure · Tableau · Jira
Year
2022
Assignee
Siddhesh Bare

Overview

Developed a comprehensive solution for data collection, analysis, and forecasting of infrastructure costs across GCP, AWS, and Azure. Goal: improve resource allocation, optimise budgeting, and provide actionable insights for cloud cost management.

Approach & Methodology

  • Covered GCP, AWS, and Azure in a single unified forecasting and analysis initiative
  • Conceptualised and developed a custom digital platform delivering visual insights for stakeholders
  • Regular updates provided to key stakeholders via dashboards and project reports
  • Led a team of 8 resources with a monthly budget of approximately CAD 35K

Execution & Tools

  • Achieved ~90% adherence to budget, schedule, and scope through careful resource analysis
  • Built and maintained Tableau dashboards to monitor performance and track cloud usage
  • Used Jira for project management and sprint tracking throughout
  • Enabled optimised resource allocation through accurate forecasting and data-driven decisions
💡 Key Decision

Unified GCP/AWS/Azure into one platform instead of three siloed tools — this architectural call made cross-cloud cost comparison possible and unlocked the 12% YoY savings that wouldn't have been visible otherwise.