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πŸ“ˆ Enterprise Sales Performance Engine

πŸš€ Project Overview

A mission-critical data ecosystem designed to unify, normalize, and analyze sales performance across diverse business verticals: Mobility, Smart Home Security, FFH, and Health.

This engine automates the journey from raw sales leads to final executive revenue insights, providing a scalable infrastructure for commission accuracy and sales trend analysis.


πŸ—οΈ Data Architecture

The pipeline is structured into three specialized layers:

  1. Normalization Layer: SQL procedures that standardize different product units (e.g., fiber subscriptions vs. mobile devices) into a unified Sales Metric.
  2. Incentive Engine: Advanced BigQuery logic to calculate tiered commissions based on dynamic targets.
  3. Executive BI Layer: Optimized views for Looker Studio providing a 360Β° view of global sales health.

πŸ› οΈ Key Technical Implementations

  • Multi-Vertical Consolidation: Handling disparate CRM data schemas.
  • Defensive SQL: High-integrity scripts using SAFE_CAST and REGEXP for data cleaning.
  • Apps Script Integration: Automated intake systems for real-time sales reporting.

Author: GIORH
Stack: Google BigQuery (SQL), Google Apps Script, Looker Studio.

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End-to-end data pipeline for multi-vertical sales analytics (Mobility, Smart Home Security, FFH, and Health)

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