Implementation & rollout
- Environment planning: dev, staging, production parity and secrets handling.
- Initial connection setup, discovery runs, and dataset scaffolding.
- Dashboard baseline aligned to your KPI dictionary and org chart.
Services
Delivery that respects production risk and still gets you to value faster.
Operational intelligence programs fail when treated as a weekend install. We structure engagements around your change windows, validation habits, and the teams who will own the system on day thirty.
How we engage
From first connection to confident self-service
Engagements are scoped collaboratively. Below is a representative structure; your statement of work reflects infrastructure, compliance, and timeline realities.
Data engineering & modeling
- Relationship validation, grain decisions, and measure definitions.
- Rollup strategy for hot tiles; cache policy tuned to refresh windows.
- Migration support as you add tables or change production schemas.
Enablement
- Admin training: users, permissions, SAML/LDAP touchpoints, audit review.
- Author training: report builder patterns that stay within governed fields.
- Office hours during hypercare to build confidence with real questions.
Ongoing support
- Severity-based response for production incidents and pipeline failures.
- Quarterly roadmap reviews as your analytics maturity grows.
- Optional managed runbooks for sync windows and monitoring thresholds.
Commercial model
Licensing aligned with how you scale users, without surprise usage fees
Organizations typically license by user tier with room to grow. Enterprise packages can bundle implementation hours, SAML hardening reviews, and priority support. We’ll quote transparently after a short discovery call.
Next step
Share your target go-live, approximate user count, and identity stack. We’ll respond with a proposed path.
Start the conversation