How a global consultancy scopes market data per engagement on Veridion's company knowledge graph.

Off-the-shelf reports can't match engagement scopes

The customer runs hundreds of consulting engagements every year across strategy, operations, organisation, technology, and digital transformation work. A meaningful portion of those engagements lean on market data: market sizing, competitor mapping, customer segmentation, supplier discovery, geographic-expansion analysis. Each engagement has its own scope: a specific country or set of states, a specific industry vertical or sub-vertical, a specific attribute set tied to the client's particular question.

Two structural constraints define how this data needs to arrive. First, the scope is engagement-specific and not pre-buildable. A project on small-business HVAC operators in Georgia and Alabama doesn't reuse the data foundation a project on Mexican merchant categories will. Second, the timeline is tight. Consulting engagements run on weeks, sometimes days; data has to land inside the project's collection phase, not arrive months later from a research vendor's standard production schedule.

Traditional research vendors produce reports on their own cadence (pre-defined market reports, surveys, panel data) and don't reshape on demand to a specific consulting brief. The brief was the inverse: a data partner who could scope per engagement, deliver against the project's geography and industry parameters, and ship inside the consulting timeline.

Per-engagement slices shipped inside the consulting timeline

The customer's consulting practice runs its market-data requests against Veridion's company knowledge graph. The graph runs to 134M+ operating companies globally, with weekly refresh on the core graph and daily refresh on volatile attributes. Crucially, it's queryable against any combination of geography, industry classification (across NAICS, SIC, ISIC, NACE, NCCI, IBC, plus Veridion proprietary business tags), location-type (manufacturing, retail, distribution, R&D), products and services, technographics, and a long list of other operational attributes.

Per-engagement scoping happens at the data-extraction level. The customer defines the slice (Mexican merchants by NAICS category, last-12-months revenue, split by domestic vs. cross-border and card-present vs. card-not-present, across restaurants, hotels, airlines, ground transport, car rental, department stores, apparel, and ecommerce platforms), and Veridion delivers the dataset against that exact specification. No pre-built report; no off-the-shelf segmentation. The graph is the substrate; the engagement-specific dataset is the deliverable.

Across the engagements Veridion has supported, the geographic and industry range has spanned the US (Georgia / Alabama HVAC operators, Texas residential remodellers), Latin America (Mexico merchant categories, Guatemala companies), and Europe (a German architecture-services scope). Each engagement has been a discrete dataset, scoped to the consulting project's brief.

Market data follows the brief, not the reverse

For the customer's consulting teams, the practical effect is that market data stops being a fixed input that the engagement has to design around, and becomes a variable that's specified per project. The consulting brief defines the scope; the data follows the brief, not the other way around.