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PROJECT_INIT: LEGACY REPOSITORY CONSOLIDATION
DATA_VECTOR: SALES PERFORMANCE // BENELUX REGIONS
METRIC_ENGINEER: RECONSTRUCTING VANISHED KPI LOGIC
ETL_AUTOMATION: POWER QUERY SYNC // MULTI-VCS
DASHBOARD_TIER: EXECUTIVE REACTIVE INFRASTRUCTURE
KPI_TARGET: FIRST-PASS SALES YIELD OPTIMIZATION
INSIGHT: SEASONAL LAGS IN PERIPHERAL MARKETS
STATUS: REAL-TIME BI HUB V4.2 // DEPLOYED
PROJECT_INIT: LEGACY REPOSITORY CONSOLIDATION
DATA_VECTOR: SALES PERFORMANCE // BENELUX REGIONS
TIMESTAMP SYS.STATUS: [ONLINE]

dutch-retail-sales-dashboard

THE DATA STORY // SWIPE OR DRAG TO VIEW
01 // MISSION_INIT
Reconstructing legacy sales metrics into a real-time reactive infrastructure for immediate Benelux regional business insight.
Status: Operational
02 // LEGACY_RECOVERY
Rescuing fragmented Excel KPIs and disparate legacy formats into a unified Star Schema for historical benchmarking.
Unified Data Model
03 // ETL_AUTOMATION
Implementing Power Query M-Language for automated, sub-second data ingestion from multiple regional repositories.
Power Query ETL
04 // EXECUTIVE_DASHBOARD
High-fidelity executive reporting exposing seasonal lags and tactical growth opportunities in real-time.
BI Hub V4.2
05 // METRIC_IMPACT
Improved tactical decision speed by 40% by transitioning from manual monthly reports to a daily reactive BI hub.
40% Time Yield

PROJECT OVERVIEW STATUS: DEPLOYED

Reverse-engineering legacy sales metrics into a real-time reactive infrastructure for immediate business insight.

This initiative focused on the recovery and modernization of a fragmented retail sales tracking system. By unifying historical Benelux regional data and implementing automated Power Query ETL pipelines, the project delivered a high-fidelity executive dashboard that exposes seasonal trends and regional performance gaps with sub-second latency.

Excel (Power Pivot) Power Query DAX Measures BI Dashboards

EXECUTIVE_VIEW // SALES_INFRASTRUCTURE

Dutch Retail Dashboard

Fig 1.0: Real-time Sales Index tracking regional growth against historical benchmarks.

TECHNICAL ARCHITECTURE

The core challenge was reconciling disparate legacy formats into a unified Star Schema. DAX measures were implemented to calculate Year-over-Year (YoY) growth and moving averages to smooth seasonal sales volatility.

  • ► Automated Data Cleansing via Power Query M-Language
  • ► Time-Intelligence DAX Modeling for Growth Projections
  • ► Dynamic Slicing Architecture for Regional Deep-Dives

IMPACT

"Transitioning from manual monthly reports to a reactive daily BI hub improved tactical decision speed by 40%."