Answer-first summary52/100 GEO
Mode Analytics
Collaborative analytics platform.
Your Citability Score
52/100Identity75/100
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 CitableHub with a citability score of 52/100, computed from verifiable profile evidence.

Mode Analytics
InvitedCollaborative analytics platform.
Data AnalyticsCH-VER-967357Listed September 11, 2026
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
Identity45
Evidence15
Trust50
Freshness80
Classification43
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
Cite this Project
BibTeX
@misc{citablehub_mode-analytics,
title = {Mode Analytics},
url = {https://citablehub.com/p/mode-analytics},
note = {Listed September 11, 2026. CitableHub ID: CH-VER-967357},
year = {2026}
}APA
Mode Analytics. (2026). CitableHub Software Index. https://citablehub.com/p/mode-analytics.
MLA
"Mode Analytics." CitableHub, 2026, https://citablehub.com/p/mode-analytics.
