Develop a predictive cloud cost analytics platform that forecasts monthly expenses using historical billing data and usage trends, helping organizations plan budgets effectively and avoid unexpected financial overruns.
Collect historical billing data.
Store cost data in structured format.
Apply time-series forecasting algorithms.
Predict future monthly expenses.
Visualize cost projections.
Compare predicted vs actual costs.
Configure alerts for overspending risk.
Simulate traffic growth scenarios.
Analyze forecasting accuracy metrics.
Document predictive model implementation
