SIOP Forecast Analytics Dashboard
An end-to-end data analytics project that takes forecasting business datasets, cleans and transforms them, models relationships, creates meaningful metrics, and turns them into an interactive Power BI dashboard to answer operational questions.
Project Scope
Revenue, CAPEX, and non-revenue forecasting analysis across countries and periods. Forecast Accuracy and Forecast Bias analysis. Lag0, Lag1, and Resultant Revenue metrics. Interactive slicers and drill-down analysis. Forecast-versus-resultant validation and reconciliation.
Technology Stack
Architecture
The analytical flow begins with forecast and resultant datasets. Power Query cleans and transforms the data. The prepared data is organized into a Power BI model where DAX measures calculate business KPIs. The final model feeds interactive visuals.
Accuracy
Bias
Revenue
CAPEX
Visualizations
(Country, Period, Category)
Results & Validation
Created an interactive multi-page forecasting dashboard that supports KPI tracking, variance analysis, and trend analysis. Validated the analytical model by rigorously reconciling forecast datasets against actual resultant data.