Praetor
Business Analytics
Turn operational data into decisions your team can act on.
Why it matters
- One source of truth instead of scattered spreadsheets
- Dashboards built around the decisions you actually make
- Data pipelines that stay accurate as you scale
Key features
- Data warehouse and pipeline design
- Dashboard and reporting development
- KPI definition workshops
- Data quality and governance review
How we approach
Business Analytics.
Every engagement is the result of a clear strategy and careful technical execution, not a template stretched to fit.
Data warehouse and pipeline design
Scoped and delivered as part of every business analytics engagement.
Dashboard and reporting development
Scoped and delivered as part of every business analytics engagement.
KPI definition workshops
Scoped and delivered as part of every business analytics engagement.
Data quality and governance review
Scoped and delivered as part of every business analytics engagement.
Tools we use for Business Analytics
How we deliver Business Analytics
Discovery
We start by analyzing the goal, audience, and constraints: the specific outcome this engagement needs to hit.
Planning & Architecture
We define scope, technical approach, and a realistic timeline before any build work starts.
Design & Build
Interface and implementation move together, reviewed in increments rather than one big reveal at the end.
Testing & Refinement
Functional, performance, and security checks before anything ships to production.
Launch
Deployment, monitoring, and a clear handoff, documented so your team isn't locked out of its own system.
Ongoing Support
We stay on after launch for fixes, monitoring, and iteration as requirements change.
Common questions
Timelines depend on scope, but most engagements start with a discovery phase to produce a concrete estimate before any commitment.
Yes. We regularly integrate with and extend existing systems rather than requiring a rebuild.
We start with a scoping conversation, follow with a proposal and timeline, then move through discovery, build, and support phases as outlined above.