Service

Predictive Analytics

Forecasting, churn modeling, anomaly detection, and BI dashboards that turn data into decisions.

From feature stores to executive dashboards, we operationalize analytics that finance, ops, and marketing actually use. Built on modern lakehouse stacks.
Our Process

Discovery → Design → Build → Test → Deploy / Support

A disciplined cadence that keeps stakeholders aligned and shipping predictable.

  1. Step 1
    Discovery

    Decision questions, data sources, governance.

  2. Step 2
    Design

    Metrics, models, dashboard wireframes.

  3. Step 3
    Build

    Pipelines, models, dashboards, alerts.

  4. Step 4
    Test

    Backtesting, business validation.

  5. Step 5
    Deploy / Support

    Refresh schedules, retraining, enablement.

Key Capabilities

Tooling we ship with

Battle-tested frameworks, models, and platforms — chosen for outcomes, not fashion.

dbt
Snowflake
BigQuery
Databricks
Looker
Power BI
Metabase
Prophet
Outcomes

What you'll get out of an engagement

Predictable delivery, measurable outcomes, and a system your team can own.

Production-grade architecture from day one

Senior engineering leadership embedded in your team

Evaluation harnesses and observability baked in

Knowledge transfer, runbooks, enablement

FAQ

Common questions

Ready to ship something users love?

Tell us what you’re building. We’ll bring a senior team to the kickoff call.