“Compass feels different — it actually thinks like an analyst, not just another text-to-SQL tool. Now people across multiple departments use it daily. Everyone's obsessed.”
Leading data teams trust Dagster
How it works
Before Compass you'd have to build dashboards, train semantic models, or read a 47-page setup guide. Now, setup takes about 10 minutes.
Connect your data
Connect your warehouse, upload a CSV, or sync the SaaS tools that add context. Compass learns your schema quickly.
See supported data sources →Ask in Slack or Teams
That's it. No training. No onboarding decks. Just @compass in any channel, with one answer path across Slack and Microsoft Teams.
Faster answers for the business, without giving up control.
For the business
Faster answers, where teams already work.
- Ask in Slack or Microsoft Teams
- Get answers faster, together
- Work from shared definitions
For the data team
The answer path stays grounded in context, access, and review.
- Control context and access
- Review quality over time
- Expand use cases with confidence
Why Compass is different
Compass turns trusted data into answers people can use in the places decisions already happen, while giving data teams the review loop they need to keep quality high.
Starts where work already happens
Compass is native to Slack and Microsoft Teams, so people can ask, follow up, and make decisions in the channels they already use instead of moving data work into another app.
Built to get work done together
Every answer is multiplayer by default. Teammates can align in the same thread, leaders get visibility into how data is being used, and data teams see where the business needs help.
Learns your business context over time
Compass learns your metrics, definitions, business logic, and examples over time, so answers reflect how your business actually works without every user explaining context from scratch.
Keeps learning under your team's control
Compass does not silently remember everything it is told. Data teams can review, approve, or reject new context, monitor answer quality, and govern how knowledge changes over time.
The ROI slide writes itself
When the business gets answers faster and the data team stays in control, the value compounds quickly.
Days to minutes
for recurring business questions
Get activation, campaign, account, and KPI answers in-channel instead of waiting on an analyst queue.
10+ hours saved
per analyst, per week
Free the data team from repetitive ad hoc requests so they can spend more time on higher-leverage work.
Broader adoption
without giving up control
More teams can get answers quickly while definitions, context, and access stay in data-team-controlled workflows.
Fewer interrupts
for the data team
Visible Q&A in shared channels reduces repeat tickets, dashboard churn, and one-off requests.
Start where the questions matter most
Everyone becomes dangerous
Your least technical teammate pulling pipeline metrics by segment? Yep. Product, growth, and revenue are all fair game once the data team can ship answers with confidence.
Product Analytics
Product teams get sharper, faster
Activation, retention, feature adoption, and experiment questions stop waiting in the analyst queue.
Explore use case →
