The tourism lab
that never
guesses.

DataGreat is a tourism intelligence platform. We turn the WTTC Economic Impact Research 2025 dataset — 42 countries, 26,880 verified metric rows, 11,647 rankings — into investor-grade reports that generate in roughly 30 seconds. Every number in every report traces back to its WTTC source page.

The narrator (Claude Sonnet 4.6) never invents numbers. It is locked to a claim ledger: only values that exist in our verified WTTC tables can appear in the prose. Every quantitative claim ships with a provenance pill linking to the exact source. If a number isn't in the ledger, it cannot be written.

All 42 economies in the WTTC EIR 2025 release — including Türkiye, Spain, France, Italy, Germany, the United States, the United Kingdom, the UAE, Saudi Arabia, Greece, Egypt, Morocco, Mexico, Thailand, Indonesia, Japan, China and more. The free Explore tier includes 5 reference countries (TUR, USA, GBR, FRA, ESP) so you can evaluate the product before subscribing.

A module produces one analytical lens — Country Snapshot, TAM·SAM·SOM, Demand Forecast 2024–2034, Pandemic Recovery Report, Source Markets Inbound, Investment Attractiveness Score, Regional Benchmark and so on. A preset is a named bundle for a common use-case — for example 'Investor Pitch' runs TAM·SAM·SOM + 10-year forecast + recovery + global rankings in a single pass.

Five plans. Explore is free forever (1 report per month, 5 reference countries, 1 module). Paid plans start at $49/month for Researcher (15 reports, all 42 countries, 10 core modules). Analyst is $149/month (50 reports, all modules + presets, white-label, 3 seats). Agency is $499/month (250 reports, 10 seats, REST API, Sherpa Max). Institute is $1,499/month for 1,000 reports with SSO, custom data and unlimited crisis sims. Annual billing saves two months on every paid tier.

In our end-to-end tests a Türkiye report with 30 verified claims and inline citation chips finished in about 30 seconds. The pipeline has four stages: profile load → module computation → narrator prose → finalisation. You watch it happen live.

DataGreat also offers a set of general-purpose AI research modules — competitor analysis, persona, SWOT, pricing strategy and so on — marked as optional beta. These are LLM-generated and may contain unverified figures, so we keep them clearly separated from the WTTC-anchored tourism catalogue. Use them for ideation, not for investment decisions.

Yes. PDF export is available from Researcher upward. Analyst and Agency tiers support white-label / full-brand PDFs and shareable public report URLs (no login required for the viewer). API access ships with Agency and Institute.

Authentication runs on Supabase with row-level security on every tourism.* table. Payments go through Stripe. Reports you generate are scoped to your account; the only publicly visible material is what you explicitly share through a public link.

A traditional tourism research engagement runs $20k-$100k and takes 4-12 weeks. DataGreat generates the same analytical lenses in under a minute against a verified public dataset, for $49-$1,499 a month. We are not a replacement for strategic consulting, but we are a replacement for most of what teams waste on data-gathering.

No. Every numeric field is computed from WTTC + macro data via deterministic rules. The AI's only job is writing the prose around those numbers. We explicitly forbid it from emitting numbers not present in the data block, and a server-side post-validator nullifies any that slip through.

Categories with insufficient data return an `insufficient_data` badge rather than a fabricated answer. Confidence scores drop accordingly, and the affected section is flagged so reviewers can see exactly where coverage runs out.

ChatGPT generates the numbers — we don't. Our pipeline runs deterministic rules over verified WTTC + IMF/WB datasets, computes severities and shares server-side, and only hands the prose layer to Claude. Every claim links to a citable source; re-running the same inputs produces the same output. See the side-by-side comparison and live demos at /ai-tools.