The Bank for International Settlements Innovation Hub has published Project Insight, a report on a proof-of-concept dashboard and supporting data architecture designed to improve how central banks and policymakers monitor global value chains. The project combines granular firm-to-firm, shipment-level and macroeconomic data to give earlier and more detailed visibility into supply chain dependencies, bottlenecks and transmission channels that can affect inflation, growth and financial stability. Rather than answering a single policy question, the work is presented as a reusable analytical foundation that public institutions can adapt for macro-financial monitoring and research. Developed with the Hong Kong Monetary Authority, the Organisation for Economic Co-operation and Development and DIW Berlin, the proof of concept uses historical data from 2018 to 2024 and more than 15 billion observations. It integrates commercial data on maritime shipments, reported supply chain relationships, entity attributes, ownership linkages and vessel tracking with public trade, macroeconomic and input-output data, then converts them into standardised metrics across five areas: cross-sectional overview, time series trends, trade exposure and concentration, resilience and bottlenecks, and network metrics. The interactive dashboard is built to let users drill down by time, product, economy and trading direction, while the underlying modular architecture is intended to be extended with additional data and used by central banks with their own analytical priorities.
Bank for International Settlements - Innovation Hub2026-07-08
Bank for International Settlements Innovation Hub publishes Project Insight proof of concept for central bank monitoring of global value chains
The Bank for International Settlements Innovation Hub has published Project Insight, a proof-of-concept dashboard and data framework for monitoring global value chains with granular firm-to-firm and shipment-level data. Built on commercial and public data covering 2018 to 2024 and more than 15 billion observations, it generates standardised metrics on trade trends, concentration, bottlenecks and network risks for central bank and policymaker use.