37Panjiva: Supply Chain Intelligence
In 2018, S&P Global acquired Panjiva, a global supply chain content provider, to enhance S&P Global Market Intelligence’s robust data and analytical offerings. More than 20,000 users worldwide—including buyers, suppliers, governments, and analysts—turn to Panjiva for global supply chain insights, competitive intelligence, sourcing, sales and lead generation, risk analysis, and investment management.
Using Data Science and Technology to Make Sense of Large, Unstructured Data Sets
Panjiva tracks supply chain data encompassing over 1 billion transaction records across a variety of industries and commodities. Leveraging proprietary machine-learning technologies, Panjiva helps customers reveal key insights from unstructured supply chain data and transforms a massive dataset into a supply chain graph, mapping trade relationships between companies.
Primary Customer Segments |
| Global operating companies |
| Freight service providers |
| Investment managers |
| Banks |
| Consultants |
| Insurance companies |
| Government enforcement agencies |
| Academic libraries |
20,000+ Users Leverage Panjiva to: |
| Learn about competitors by viewing total import/export volumes and supplier/customer networks |
| Find trustworthy suppliers for new or existing product lines |
| Identify and qualify sales leads in a certain region, trade lane, or product category |
| Detect risk in supply chain activity, such as companies transacting with potential high-risk counterparties |
| Understand market signals by mapping company supply chain data to stock price movements |
Panjiva’s Global Coverage |
| More than 1 billion transaction details of goods traded across borders, including company names, product descriptions, and values |
| Data from 15 country sources including USA, Mexico, Brazil, India, Pakistan, Philippines, and nine additional countries in Latin America |
| 9 million companies profiled in more than 190 countries |
| 13 million company-to-company relationships |
Panjiva leverages machine learning to surface key insights from unstructured supply chain data