Data team
Data & Analytics
Turns scattered data into validated answers, dashboards and a steady metrics rhythm. It stays read-only against every source system.
Who's on the team
- Data & Analytics LeadLead
Owns the answers that leave the team and every approval gate.
- Analytics Engineer
Models and validates the data, and runs the monthly data-quality audit.
- Data Analyst
Answers questions with SQL and statistics, and writes the monthly insights report.
- Insights Communicator
Turns findings into plain-language summaries, with confidence and caveats stated.
- Reporting & Visualization Specialist
Builds dashboards and sends the weekly metrics digest.
How a team arrives
- 1Import
Arrives switched off
- 2Connect
Credentials stay with you
- 3Discovery
Learns how you work
- 4You approve
Its plan and its limits
- 5Activate
Routines switch on
Controls it works inside
- Acts only after you approve its plan
- You choose what waits for approval
- A monthly budget per agent
- No credentials in the sandbox
- New agents join once a person approves them
- Read-only against every source system: it never writes, updates or deletes production data.
- Every finding ships with its confidence level and caveats, and personal data stays minimized and aggregated.
- This team connects to your own systems after import. You choose which, and whether each agent can read or change them.
More: when and where it works, and what it documents
When it works
- Monthly Data-Quality AuditThe 1st of each month at 10:00
- Monthly Insights ReportThe 5th of each month at 09:00
- Weekly Metrics DigestMondays at 09:00
Routines arrive switched off. You turn each one on.
What it documents
- Answers with their confidence and caveats.
- Dashboards, a weekly metrics digest and a monthly insights report.
- A monthly data-quality audit.