KPI framework
A metric tree linking operational measures to business outcomes, with owners and definitions.
Data Analytics
Turn data into actionable business insights.
Analytics platforms, KPI frameworks and dashboards that people actually use to make decisions.
Sound familiar?
- “Leadership asks simple questions that take the data team a week to answer.”
- “Dashboards multiply but decisions don't improve.”
- “Metric definitions differ between teams.”
Capabilities
- Analytics platforms
- BI dashboards
- KPI frameworks
- Product analytics
- Customer analytics
- Operational analytics
- Real-time analytics
- Data visualization
What we deliver
How we approach Data Analytics & BI.
Semantic layer
One governed definition of every metric, reused across every tool.
Dashboards
Role-specific dashboards designed around decisions, not data dumps.
Product analytics
Event taxonomy, funnels, cohorts and experimentation instrumentation.
Real-time analytics
Sub-minute operational views on ClickHouse, Druid or Pinot where freshness matters.
Self-service enablement
Training and guardrails so business users explore safely.
AI, built in
Natural-language analytics that let business users ask questions of governed data — grounded in your semantic layer, not guesswork.
Typical stack
- Apache Superset
- Power BI
- Tableau
- Looker
- ClickHouse
- dbt
- Trino
Start a conversation
Let's talk about your Data Analytics & BI needs.
Tell us what you're building, what isn't working, or where you want to go next. A senior engineer will get back to you — not a sales script.