
Data#3
Data#3 is based in Toowong, Australia and works in Learning Content Recommendations for Data Centers & Hosting, with further work in LLM Agents & RAG and MLOps & Infrastructure.
- Average rating
- —
- Reviews
- 0
- Profile coverage
- 80%
- Evidence percentile
- P55
Profile updated · Request a correction
Company & commercials
- Primary category
- Recommendation Systems
- Team size
- 1400+ employees
- Typical budget
- Not disclosed
- Primary industry
- Technology, Software & Digital Infrastructure
What Data#3 does best.
Recommendation Systems provider for Technology, Software & Digital Infrastructure
Its own website shows its strongest capability in Learning Content Recommendations within Recommendation Systems. The industry it describes most is Data Centers & Hosting.
1 platforms & methods
Bars show how many mapped capabilities use each one.
- AWS1 capability
Evidence report
How Data#3 compares with peers on evidence, reviews and coverage.
What the evidence says
Data#3 presents as a moderate evidence profile for Recommendation Systems. It ranks in the 55th percentile of 349 published providers in Recommendation Systems, and no reviews on the profile yet.
Current positioning: P55 evidence quality · P10 industry breadthAI capabilities.
LLM Agents & RAG
None of the listed technologies is specific to LLM Agents & RAG.
Mapping source · https://www.data3.com/ — “ake HPE Storage Lenovo Lenovo Lenovo Device Fleet Microsoft Microsoft Agentic AI Microsoft 365 Copilot Microsoft Azure | Public Cloud Microsoft Securi”
Featured 7 of 7 capabilities, ranked by mapping grade then confidence.
Industries served.
- Data Centers & HostingDirect · Primary95%
https://www.data3.com/services/procurement — “... Customer Story Data # 3 to help modernise WA Government networks, data centres and... June 24, 2025; Perth, Australia: Data # 3, a leading Australia”
- 90%
https://www.data3.com/services/managed-services — “anced specialisations such as Azure Expert Managed Services Provider (MSP), Cisco Master Specialisations, Dell Technologies Cloud Platform Part”
- Cloud Computing & InfrastructureSupported60%
https://www.data3.com/services — “Managed IT Services | Data#3 Services Consulting Procurement Project Services Managed Ser”
- Data, Analytics & AI PlatformsSupported60%
https://www.data3.com/services — “Managed IT Services | Data#3 Services Consulting Procurement Project Services Managed Ser”
What clients say.
No independent reviews found for Data#3 yet.
Worked with Data#3? Review them → Every reviewer is verified by RankGlobal.
How RankGlobal maps this profile.
RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research — a mapping grade is not a claim of discoverability weight.
- T1AuthoritativeTypical evidenceRegulators, registries, certifications, signed client evidence.Scoring useHighest evidentiary weight
- T2IndependentTypical evidenceCredible media, industry bodies, partner directories, third-party datasets.Scoring useStrong with attribution and recency
- T3Provider-controlledTypical evidenceCompany site, case studies, press releases, structured submissions.Scoring useAccepted as a claim; verification raises weight
- T4Discovery-onlyTypical evidenceDirectory listings, aggregations, and early discovery signals.Scoring useUsed for discovery; weighted accordingly in ranking
Move from discovery to a focused conversation.
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- Primary category
- Recommendation Systems
- Primary industry
- Technology, Software & Digital Infrastructure
- Typical budget
- Not disclosed
- Team size
- 1400+ employees
- 1Name the use caseSay which Recommendation Systems problem you are evaluating, so the research team can route your message accurately.
- 2Pressure-test the budget bandNo budget band is on file. Ask what a scope like yours typically lands at.
- 3Ask for a referenceRequest a client reference in Technology, Software & Digital Infrastructure — the strongest industry signal on this profile.
Enquire about Data#3
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