Case Study: a leading commercial and investment bank centralizes counterparty data with S&P Global Market Intelligence

Automizing and Centralizing a Database Feed

S&P Global worked with a leading commercial and investment bank that wanted to centralize counterparty data across its global organization. The bank’s credit risk team was spending too much time pulling financial information from multiple third-party sources and websites, creating inefficiencies and errors, while other groups such as trade finance also needed access to the same data for risk assessment and lending decisions.

S&P Global provided a centralized, automated data solution built around Xpressfeed, along with datasets such as S&P Capital IQ Fundamentals, Private Company Fundamentals, Estimates, Company Intelligence, Key Developments, Ownership, Transactions, Company Relationships, Panjiva Supply Chain Intelligence, and cross-reference services. The bank gained a ready-to-query relational database that improved data consistency, reduced manual retrieval work, and gave users broader access to financial, ownership, trade, and relationship data for internal applications and analysis, though the case study does not cite a specific quantified performance gain.