Enterprise ERP Analytics Dashboard

Overview

End-to-end ERP analytics solution with reusable SQL views, stored procedures, and interactive Power BI dashboards for enterprise decision-making.

Problem Statement

Multiple departments relied on disconnected spreadsheets and ad-hoc SQL pulls, leading to inconsistent KPI calculations and slow reporting cycles.

Dataset

ERP transactional data across Inventory, HR, Finance, and Sales modules

Data Cleaning

• Standardized product category and plant codes across ERP modules
• Resolved duplicate transaction records in inventory movement tables
• Validated finance variance fields against source ledger entries
• Created conformed date and organization dimensions for cross-module analysis

SQL Queries

CREATE VIEW vw_InventoryTurnover AS
SELECT
  PlantID,
  ProductCategory,
  SUM(IssueQty) / NULLIF(AVG(OnHandQty), 0) AS InventoryTurnover,
  AVG(FillRate) AS AvgFillRate
FROM InventoryTransactions
GROUP BY PlantID, ProductCategory;

SELECT
  TeamName,
  SUM(SalesAmount) AS ActualSales,
  SUM(TargetAmount) AS TargetSales,
  (SUM(SalesAmount) - SUM(TargetAmount)) AS Variance
FROM SalesPerformance
GROUP BY TeamName;

Python Analysis

• Exploratory analysis on sales trend outliers by plant and category
• Validated KPI distribution patterns before dashboard rollout

Power BI Dashboard

Interactive dashboards with drill-down by plant, team, time period, and product category. KPI cards for fill rate, order cycle time, inventory turnover, and target variance with executive and operational views.

Business Insights

• Module-wise visibility reduced decision turnaround time for operations reviews
• Shared KPI logic eliminated conflicting numbers across department reports
• Performance tuning supported 500+ daily users without refresh delays

Recommendations

• Expand automated data quality alerts for ERP source tables
• Add forecast layers for inventory and sales planning
• Schedule incremental refresh windows during off-peak hours

Technologies