Skip to content

Technology

Veeva eTMF

Last fetched

Veeva eTMF is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under business process management, with a published adopter count of 183 hostnames.

Profile

Broader grouping
data management, operations
Published adopter count
183
Vendor
veeva.com

Veeva eTMF is a cloud-based electronic Trial Master File system that manages clinical trial documentation in real time, ensuring regulatory compliance and inspection readiness. It automates workflows, improves visibility, and enables seamless collaboration across stakeholders, helping life sciences organizations maintain complete and accurate trial records throughout the clinical lifecycle.

Vendor site: https://www.veeva.com/products/veeva-etmf/

Sample adopters

20 hostnames WhisperGraph observed running Veeva eTMF, a sample of the 183 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Veeva eTMF adopters, not of all 183 published adopters. A hostname counts once per network.

Related pages

Pivot from Veeva eTMF into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
Run yourself →

Reads a 20-host adopter sample and the ASNs announcing its IP addresses.


MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.