Data to Decisions

Real dashboards. Real results. Power BI, Excel, SQL & Python.

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Sales Performance Dashboard — Abuja

Problem: Unclear profit trends across product lines

Abuja Sales Dashboard
0% Profit Increase 0x Faster Reporting
Excel + Power BI + DAX

Steps Taken:

  1. ETL: Merged monthly sales from Excel files in Power Query.
  2. EDA: Analyzed sales by region, category, and seasonality.
  3. MODELING: Created DAX measures for YoY growth and profit margin.
  4. VISUALIZATION: Built interactive drill-down dashboard.

Result: Leadership now tracks top-performing SKUs in real-time.

Inventory Optimization — Uyo

Problem: Frequent stockouts of fast-moving goods and excess slow movers

0% Stock Availability ₦0K Monthly Savings
Power BI + Excel + Power Query

Steps Taken:

  1. ETL: Automated daily stock updates from POS and warehouse logs.
  2. EDA: Classified items using ABC analysis and velocity trends.
  3. MODELING: Built reorder point and EOQ formulas in Power BI.
  4. VISUALIZATION: Created live inventory health dashboard with alerts.

Result: Reduced stockouts by 87% and freed up working capital.

Customer Insights Dashboard — Uyo

Problem: Declining repeat purchases and low customer engagement

Customer Insights Dashboard
+0% Repeat Buyers 0x Retention Rate
Power BI + Power Query + Excel

Steps Taken:

  1. ETL: Merged CRM, sales, and feedback data.
  2. EDA: Built RFM (Recency, Frequency, Monetary) segments.
  3. MODELING: Calculated customer lifetime value and churn risk.
  4. VISUALIZATION: Designed cohort and loyalty funnel dashboard.

Result: Targeted campaigns lifted repeat purchases by 18%.

Mart Profitability Analysis — Rivers

Problem: Inconsistent margins across 12 supermarket branches

Rivers Mart Profitability
0% Margin Improvement ₦0M Extra Profit
Power BI + SQL + Python

Steps Taken:

  1. ETL: Consolidated POS, procurement, and promo data into SQL.
  2. EDA: Compared gross vs net margin by category and branch.
  3. MODELING: Built contribution margin and promo ROI models in Python.
  4. VISUALIZATION: Created branch comparison and pricing dashboard.

Result: Identified underperforming categories; optimized pricing strategy.

E-commerce Site Visit Analysis — Ghana

Problem: High bounce rates and low conversion

0% Bounce Rate Reduction 0x Conversion Lift
Power BI + Google Analytics + DAX

Steps Taken:

  1. ETL: Pulled GA4 data via API into Power BI.
  2. EDA: Mapped user flows and drop-off points.
  3. MODELING: Built conversion funnel with DAX.
  4. VISUALIZATION: Heatmaps + cohort dashboard.

Result: UX and marketing teams fixed critical leaks.

Oil Rig Performance Analysis — Rivers

Problem: Unpredictable downtime and inefficiency

Rivers Oil Rig Dashboard
0% Downtime Reduction ₦0M Annual Savings
Power BI + SQL + Python

Steps Taken:

  1. ETL: Ingested IoT sensor and log data.
  2. EDA: Detected failure patterns with time-series.
  3. PREDICTIVE MODELS: XGBoost + Prophet forecasting.
  4. VISUALIZATION: Real-time rig health dashboard.

Result: Predictive maintenance saved millions.

Financial Health Tracker — Global

Problem: Disconnected financial reports across departments

Global Financial Dashboard
0% Data Accuracy 0 Days → 0 Mins
Excel + Power Query + Power Pivot

Steps Taken:

  1. ETL: Unified finance, HR, and logistics data.
  2. MODELING: Built cash flow, P&L, and KPI measures.
  3. VISUALIZATION: Executive dashboard with drill-through.

Result: CFO now closes books in minutes, not days.

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