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Built Tableau dashboards to analyze pharmaceutical & diagnostic shipments across 20+ countries, revealing vendor delays, mode performance, and high‑volume product trends.

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anandgupta-analytics/Analyzing-Global-Health-Supply-Chain-Shipments-Using-Tableau

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Tableau Dashboard – Global Supply Chain Shipment Analysis

Project Title: Analyzing Global Health Supply Chain Shipments Using Tableau Course Project – UMass Amherst (MS in Business Analytics)

Overview: This project visualizes and analyzes global supply chain shipment data related to pharmaceutical and diagnostic products across over 20 countries. Using Tableau, I developed interactive dashboards to uncover insights on product types, delivery timelines, vendors, transport modes, dosage forms, and delays. The primary goal was to create a centralized visual interface for logistics decision-making, supplier evaluation, and identifying bottlenecks in the health product supply chain.

Objectives: • Identify high-volume shipment products and transport modes • Analyze late delivery trends by vendor, shipment method, and brand • Track shipment volumes across countries and years • Evaluate cost-efficiency via unit pricing and dosage form insights • Explore product distribution by weight, vendor contribution, and packaging types

Dashboard Highlights: • Global Map of shipments by country and product group • Product Volume Trends from 2006–2015 across ARV, HRDT, MRDT, ACT, ANTM • Shipment Mode Analysis (Air Cargo, Sea Freight, Truck) • Late Delivery Breakdown by year, product group, vendor, and brand • Dosage Form & Weight Distribution (Tablet, Capsule, Oral Solution, Test Kit) • Pricing Comparison: Unit Price vs Pack Price by relationship type

Files Included: Tableau_Anand_Gupta.twbx: Packaged Tableau dashboard file, Anand_Gupta_Supply_Chain_Shipment.xlsx: Cleaned and structured data, Tableau_Anand_Gupta.pdf: Exported version of the dashboard for offline review

Tools & Stack: • Tableau: Dashboard development and visualization • Microsoft Excel: Data cleaning and transformation • Mapbox / OpenStreetMap: Geospatial visualizations • Supply Chain KPIs: On-time delivery, vendor performance, volume analysis

Key Insights: • Air Cargo dominated high-priority shipments but had higher rates of late deliveries • Generic brands accounted for over 75% of products delivered late • ARV and HRDT were the most shipped product groups, with notable variance in delivery success • A few vendors (e.g., SCMS From RDC) contributed to over 50% of total late deliveries • Tablets and capsules represented the highest volume dosage forms • Cost breakdowns revealed inconsistencies between pack pricing and unit cost measures

Author: Anand Gupta MS in Business Analytics – University of Massachusetts Amherst

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Built Tableau dashboards to analyze pharmaceutical & diagnostic shipments across 20+ countries, revealing vendor delays, mode performance, and high‑volume product trends.

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