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04Service

Data, Analytics &AI

Data your leaders trust and AI that earns its place in daily operations.

01The problem we solve

Finance and operations report different numbers for the same month. Analysts spend most of their time copying spreadsheets. An AI pilot impressed in the demo and then went nowhere. We fix the plumbing first: reliable pipelines, clear definitions and named owners. Then we apply analytics and AI to specific decisions, with a measured baseline so you can see what changed.

02Capabilities

What we bring.

  • 01

    Data platforms

    Warehouses and lakehouses sized to your volumes and your budget.

  • 02

    Pipelines and quality

    Tested, monitored data flows with alerts before bad numbers spread.

  • 03

    Reporting

    Dashboards designed around decisions, with definitions everyone agrees.

  • 04

    Predictive models

    Credit scoring, churn, demand and fraud models with measured lift.

  • 05

    Applied AI

    Assistants and document automation grounded in your own data.

  • 06

    Governance

    Ownership, lineage, access controls and privacy by design.

03How an engagement works

From first week to handover.

  1. Phase 01 · 2–3 weeks

    Baseline

    Sources, definitions, quality issues and decisions to improve.

  2. Phase 02 · 4–8 weeks

    Platform

    Core pipelines, warehouse and the first trusted dashboards.

  3. Phase 03 · 6–12 weeks per use case

    Apply

    Models or AI features built, tested against the baseline, deployed.

  4. Phase 04 · Ongoing

    Govern

    Monitoring, retraining and a data council that owns definitions.

04Technologies we work with

SnowflakeBigQueryDatabricksPostgreSQLdbtAirflowDagsterPower BIMetabasePythonscikit-learnPyTorchMLflowClaudeAzure OpenAI

06Questions

Frequently asked.

Everyone does. We spend the first weeks finding and fixing the issues that affect the decisions you care about, not trying to clean everything.

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