TTX_05Tech Transformation System™ 4–8 weeks

    Data & Analytics Platform

    Stand up the data backbone that turns raw events into trusted, decision-grade analytics — warehouse, pipelines, BI and governance.

    Why it matters

    Without a real data platform, every team has its own number for the same metric. A lakehouse + ELT pipelines + BI layer + governance is the foundation of every downstream system: AI, FinOps, growth, finance.

    Scope covered

    Lakehouse architecture (cloud lakehouse)
    ETL / ELT pipeline design + orchestration (Airflow / dbt)
    BI & self-serve analytics (BI tool / BI tool / PowerBI)
    Data quality, lineage & catalog framework
    Master data management + single-source-of-truth
    Event tracking & instrumentation spec
    How we run it

    Senior-led delivery sequence

    A senior-led delivery sequence — not a template dump. Each phase is operated with your team, not handed over as a deck.

    1. 01
      Week 1–2

      Lakehouse & tracking plan

      Lock lakehouse architecture (cloud lakehouse), event taxonomy and instrumentation spec with product and data leads.

    2. 02
      Week 3–4

      Pipelines & MDM

      Design ELT pipelines, orchestration and master-data rules; build source × pipeline × SLA matrix and golden-record logic.

    3. 03
      Week 5–6

      BI & semantic layer

      Stand up the semantic layer, dashboard catalog and self-serve BI; on-board first wave of business teams to certified marts.

    4. 04
      Week 7–8

      Quality, lineage & ownership

      Install DQ tests, lineage, catalog and data-ownership model; lock weekly DQ review and freshness SLAs.

    Deliverables

    • Data warehouse / lakehouse architecture (cloud data warehouse)
    • ETL / ELT pipeline design & orchestration
    • BI & self-serve analytics layer (BI tool / BI tool / PowerBI)
    • Data quality, lineage & catalog framework
    • Master data management & single-source-of-truth design
    • Event tracking & instrumentation spec

    KPIs & Targets

    • Pipeline SLA adherence≥99%
    • Data freshness (key marts)<1 hour
    • DQ test coverage≥90%
    • Self-serve BI adoption≥60% of teams

    Stakeholders

    Head of DataAnalytics EngPlatformBusiness Leads

    Timeline

    4–8 weeks