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Use cases

Data work that moves KPIs.

We focus on measurable impact—faster decisions, lower costs, better experiences. Here are typical engagements.

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Outcomes we target

Time-to-insight
Activation & retention
Margin & cost
Risk reduction

Each use case ships with metrics, quality checks, and enablement so teams can iterate after launch.

Product analytics foundation

Instrument events, model funnels and cohorts, and deliver activation dashboards that match product strategy.

  • Event design + governance
  • Activation, retention, and engagement metrics
  • Self-serve workspace with semantic layer

Marketing performance

Unify spend, channels, and revenue to measure ROI and optimize campaigns without guesswork.

  • Attribution models and incrementality tests
  • Media mix dashboards with guardrails
  • Data quality monitoring on inbound sources

Revenue forecasting

Predict pipeline and revenue with clear assumptions and error tracking so leaders can act early.

  • Feature store + model registry
  • Backtesting and champion/challenger setup
  • Monitoring for drift, bias, and stability

Operations & cost

Use telemetry to streamline operations, cut waste, and keep SLAs healthy with real-time signals.

  • Streaming pipelines for operational triggers
  • Command center dashboards with alerts
  • Root-cause workflows and runbooks

Engagement pattern

  1. Discovery: align metrics and value targets
  2. Architecture: choose stack & governance approach
  3. Build: ship first slice to production
  4. Expand: enable teams, automate quality

Delivery accelerators

Pipeline templates Data contracts CI checks Dash templates Model playbooks Runbooks

We reuse proven patterns but tune them to your stack and team maturity.

Ready when you are

Tell us your KPI and timeline.

We’ll share a right-sized approach in two business days.

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