How a global market-research firm made Veridion its core company-data asset.

Industry reports outgrew their data foundation

The customer is one of the largest global market-research firms specializing in industry research and business intelligence, known for the industry-report library that has been its product foundation for decades, and now extending into company-level data and ESG products on top of that foundation. Customers span corporate strategy, M&A and corporate-development teams, financial institutions running credit and market analysis, and consulting firms running market-sizing work.

The structural challenge sat at the data foundation. Industry reports depend on company-level data: the firms that make up an industry, their relative size, their geographic distribution, their product mix, their classification across taxonomies. As the customer extended its product surface from industry-level analysis into company-level data and ESG data, the foundational data layer underneath that expansion had to be deeper than industry aggregates and more current than annual research cycles. The brief was an operating-company graph at scale, classified across the taxonomies the underlying products work in, refreshed often enough to matter, with the entity-resolution layer to integrate cleanly into the customer's existing pipelines.

The decision was structured as a data-quality evaluation against an alternative company-data provider. Both candidates delivered employee-count breakdowns by country, key-personnel samples, classification-completeness analysis, and direct comparison data on the same underlying universe.

Veridion became the firm's Core Data Asset

Veridion won the evaluation. In the customer's framing, captured in the engagement record at deal time, Veridion's company knowledge graph became the firm's "Core Data Asset": the foundational company-data layer underneath the company-data and ESG product expansions, not a supplementary feed alongside other vendors.

The graph runs to 134M+ operating companies, 200M+ legal entities across 200+ jurisdictions, and 400M+ locations with three-level facility-type taxonomy, refreshed weekly on the core graph and daily on volatile attributes. Classification spans NAICS, SIC, ISIC, NACE, NCCI, and IBC, plus Veridion's proprietary business tags, with confidence scores and source-evidence at the attribute level. The four-module ESG package (Scores, News, Commitments, GHG Metrics) feeds the ESG-expansion phase of the customer's product roadmap on the same operating-company graph that powers the rest of the foundation.

Records flow into the customer's content pipelines through Veridion's Match & Enrich layer, which resolves Veridion's entity keys against the customer's existing identifier system without forcing migration. The data layer underneath the products is the same across industry-research, company-data, and ESG surfaces, a single resolved graph, not three separate feeds glued together.

One resolved graph, not a stack of feeds

For the customer's clients, the practical effect is that the data foundation underneath every industry-research, company-data, and ESG product output is the same resolved graph, refreshed continuously, classified consistently, and source-attributed at the attribute level, rather than a stack of vendor feeds that don't quite reconcile across products.