Unlinked legacy databases prevented external market analysts from exploring relevant market information within Moody’s Analytics. The search was limited by the exact search keywords and obscured insights and related documents because there was no way to link the concepts between analyses. By building a comprehensive data model of their Research and Ratings content, Moody’s allowed researchers to investigate information through a variety of lenses, including market segment, geography, topic, economic group, and credit quality. Intersected data facilitated dynamic exploration of financial insights and provided a better customer experience by promoting related research and increasing content downloads.

I wanted something where not just experienced coders but taxonomists could also build pieces of the puzzle. That way, they could help with business needs to get data out of the system. Stardog does that.”

- Zaid Marji

Director Software Architecture

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