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Answer-first summary52/100 GEO

Mode Analytics

Collaborative analytics platform.

data-analyticsFair citabilityVisit site →

Your Citability Score

52/100
Identity75/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
  • Identity: Add: Founder / Team, Social links.
  • Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
  • Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
  • Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
  • Classification: Add: At least 2 tags.

Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.

Frequently asked questions

What is Mode Analytics?
Collaborative analytics platform.
What does Mode Analytics do?
Business intelligence platform combining SQL, Python, and visual analytics for collaborative data exploration.
Who is Mode Analytics for?
Data analysts, analytics engineers, and cross-functional business teams that need collaborative SQL, reporting, and self-serve analytics.
Is Mode Analytics verified?
Mode Analytics is listed on Citavero with a citability score of 52/100, computed from verifiable profile evidence.
Mode Analytics logo

Mode Analytics

Invited

Collaborative analytics platform.

data analyticsCH-VER-967357Listed June 4, 2026Last updated September 28, 2026
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AI-Extractable Summary
What:Collaborative analytics platform.
For whom:Data analysts, analytics engineers, and cross-functional business teams that need collaborative SQL, reporting, and self-serve analytics
Key outcome:Teams turn raw data into shared dashboards and collaborative analyses that speed decision-making and reduce manual reporting work
Category:data analytics

Structured for AI systems to extract and cite.

Citability Score

52/100
75
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
67
Impressions
0
Clicks
0
Likes
0
GQI Earned

Citable Outcome

Teams turn raw data into shared dashboards and collaborative analyses that speed decision-making and reduce manual reporting work.

About

Business intelligence platform combining SQL, Python, and visual analytics for collaborative data exploration.

Target Audience: Data analysts, analytics engineers, and cross-functional business teams that need collaborative SQL, reporting, and self-serve analytics.
Not ideal for: Teams that only need simple spreadsheet-style reporting or a mobile-first consumer analytics app should look elsewhere.

What makes it different

  • Combines SQL, Python, and visualization in a single collaborative workspace
  • Notebook-style reports let teams mix code, charts, and narrative in one artifact
  • Built-in commenting and sharing support cross-functional decision-making
  • Supports embedded analytics and reusable dashboards for internal and external use

Tags & Classification

self-service analyticsexecutive reportingad hoc sql analysisdata storytellingembedded analytics
data analystsanalytics engineersproduct managersbusiness intelligence teams
saasecommercefintechmedia
Platform: PlatformModel: B2B SaaS

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citavero_mode-analytics,
  title = {Mode Analytics},
  url = {https://citavero.com/p/mode-analytics},
  note = {Listed June 4, 2026. Citavero ID: CH-VER-967357},
  year = {2026}
}
APA
Mode Analytics. (2026). Citavero Software Index. https://citavero.com/p/mode-analytics.
MLA
"Mode Analytics." Citavero, 2026, https://citavero.com/p/mode-analytics.