Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
GlobalData
Data analytics and intelligence company whose Pharma Intelligence Center covers drugs, trials, deals, and market forecasts.
GlobalData, established in 1999 and headquartered in London, United Kingdom, is a publicly listed data analytics and consulting company (LSE: DATA) whose Pharma Intelligence Center provides databases and analytics covering drug pipelines, clinical trials, deals, epidemiology, and market forecasts, with AI-assisted search and summarization layered over its curated datasets. It is an intelligence and forecasting resource rather than an operational system. Atlas found no vendor-held security certifications documented on its site.
- Headquarters
- London, United Kingdom
- Founded
- 1999
- Deployment options
- cloud
- Website
- https://www.globaldata.com
Categories
AI Use Cases
- Market Access & HTA Strategy
Vendor Scorecard
50% — Partial coverage. Coverage score — how completely Atlas documents GlobalData across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
Deployment & Hosting — Documented
cloud
Pricing Transparency — Not documented by Atlas
Ask the vendor: What is your pricing model, and what drives total cost of ownership?
Implementation & Onboarding — Not documented by Atlas
Ask the vendor: What is a realistic implementation timeline, and what onboarding support is included?
Organization & Role Fit — Documented
Biotech Startup, Mid-Size Biotech, Large Pharma, Top 20 Pharma, Commercial, Medical Affairs
Solution Scope — Documented
Market Access Analytics
Company Viability — Partially documented
Public, Founded 1999
Always ask the vendor
Not captured in Atlas data — confirm directly. Excluded from the score above.
Data Rights & IP
Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?
Model Credibility & Explainability
Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?
Questions to Ask This Vendor
- How current are the pipeline and trials databases, and how is data curated?
- Which forecast models cover our therapeutic area and markets?
- What API or data feed options exist for integrating into our systems?
- How does licensing scale across teams and geographies?