SOW.docx

The Office of Naval Intelligence (ONI) requires an annual license subscription for a global trade data platform to provide Fleet and national decision makers with in-depth knowledge of the maritime domain and the unique issues associated with it. ONI analysts require this data to conduct analysis of maritime strategic trade and cargo movement to enable decision making by most senior-level leaders in the U.S. government and where applicable, support law enforcement actions that could result in both criminal and civil penalties. In order to understand this highly complex environment and assess risk, ONI requires a data intelligence platform that brings transparency to global trade through a robust global coverage, powerful machine-learning technologies, and dynamic data visualizations, and one that focuses on supply chain information that is mainly derived from bill of lading information, which is aggregated. With this information, ONI will be able to assess risk in supply chain activity by identifying companies doing business with potential high risk counterparties, cross-reference company-reported trade activity, track flows of dual-use materials or other goods associated with risk, and spot geographic risk by understanding a company’s linkage to the maritime domain.

Failure to approve this justification and employ another vendor’s product to assist with this requirement, could result in unnecessary delays, increased costs, and could severely ONI’s ability to accurately provide detailed assessments to Government stakeholders.

The data intelligence platform will provide the ability to access robust international bill of lading data, including from China and key countries in Latin America, and other nations. This is essential to the supply chain evaluation process. In order for ONI to improve the chance of success identifying supply chain vulnerabilities and risks, they require the ability to trace supply chains from start to finish, identifying the whole supply chain.

ONI requires a data intelligence platform that has the ability to search by product name or classification, commodity name, HS / HTS code, D&B number, shipment-level and item-level records that cover maritime modes of transport, ocean freight shipment data for imports and exports from the U.S. including container specifications, TEU, weight in kilograms and metric tons, and location-based searches; the ability to accurately visualize key aspects of data to include importer and exporter company names, product details, dollar values, HS / NCM code classification, coverage of FTZs, SEZs, and new private ports, shipment descriptions and HS code mapping in raw data.

Key needs of the data platform:

· Granularity on Mexico data: the data platform must provide and enhanced level of detail when looking at Mexico trade, including the linkages to shippers and consignees for containers by connecting them to their Dunn and Bradstreet identification numbers. This will provide ONI analysts who work this particular portfolio a value-added benefit that reduces time and manpower that would have to be spent making these linkages, providing ONI and their customers a mission advantage.

· Container analysis: the data platform must compile shipment information from bills of lading and includes company profiles in a global supply chain graph that enables big data analysis on a large scale. This will provide ONI analysts specific information on containers that support its mission and customer base. The aforementioned linkage to shippers and consignees also provides analysts detailed context that link corporate entities, and deliver a time-saving mission advantage.

· China data: the data platform must supply a higher level of harmonized schedule (HS) codes for China and effectively identify China-based shipping carriers. These codes are critical in identifying possible shipments of illicit materials. A higher level of data across multiple HS chapters enables ONI analysts to make judgment-based analysis with a higher degree of confidence.