Software and SaaS
Product and revenue answers your data team would sign off on.
Without your definitions, general AI tools have to guess what your tables mean. Supersimple reads them from your governed metrics, code, and docs.
Metrics that survive product changes.
Events get renamed and moved with every release. When one changes, your data team updates the governed metric once in Git, and every answer keeps meaning the same thing.
How the semantic layer worksmetrics/activated_trials.yml
metrics:
activated_trials:
name: Activated trials
model_id: trial
operations:
- operation: filter
parameters:
key: first_report_saved_at
operator: isnotnull
aggregation:
type: countWhat your engineers and sales team already know.
It’s in your code, docs, and call notes. Supersimple reads it to pick the right metric, and to answer questions no table can.
Since 4.3, workspace_activated fires only after the first teammate invite.
We need Okta SSO before we can sign.
SCIM provisioning is included in Enterprise only.
Fractory replaced Tableau with self-serve exploration.
Fractory’s analytics team has used Supersimple since October 2024. One recurring analysis: find customers whose quotes were processed too slowly, then read their emails and calls to see what was missing.
Read the full interview“The request changes from ‘can you add this chart?’ to ‘can you enable this analysis?’, which means the work you do is now reusable.”
- Data in scope
- Operations and conversationsOrders, part-level details, and customer activity, next to customer emails and sales-call transcripts.
- Model setup
- About ten minutesA new domain modeled and validated with LLM-assisted setup.
What would your team ask first?