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ERP HERITAGE ODOO PARTNER · MELBOURNE
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Data Warehousing

One source of truth. Across every system you run.

Pull data from Odoo, your e-commerce platform, your POS, your shipping carriers, your support desk, into one warehouse you can query, dashboard, and report from. Queryable in seconds, not hours. Owned by you, not locked into a closed analytics product. The foundation every serious analytics, AI, or board-pack workflow depends on.

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Right for you if

  • You have three or more systems holding data you wish you could combine.
  • Finance or operations manually export CSVs to Excel every week to build the same report.
  • You want BI without committing to a single closed analytics vendor.

Not right for you if

  • You only run Odoo and Odoo native reporting answers your questions today.
  • You need a petabyte-scale data lake for unstructured logs or media. We do structured warehousing, not Hadoop / Spark estates.

Methodology

How a Data Warehousing engagement actually runs.

5 phases. Every artefact written down, every decision logged, every handover documented.

  1. 01

    Source audit

    Catalogue every system holding business data. APIs, database exports, webhooks, flat files. We document volumes, freshness, refresh-rate constraints, and the cost of pulling each source.

  2. 02

    Schema design

    A dimensional model (star or snowflake) that fits the questions the business actually asks. We resist the temptation to dump every column; the warehouse should be queryable by analysts, not just engineers.

  3. 03

    ETL pipeline

    Extract from each source on a schedule that matches its freshness need. Transform with version-controlled SQL or Python. Load into the warehouse with idempotent re-runs so a partial failure never corrupts state.

  4. 04

    Load and verify

    First full load, then daily incrementals. Reconciliation reports against source systems for the first month so you trust the numbers before you build dashboards on them.

  5. 05

    Dashboards and access

    Wire your chosen BI tool (Metabase, Looker Studio, Power BI, Superset) to the warehouse. Role-based access. A starter pack of dashboards your team can extend without us.

What you receive

Deliverables.

Every artefact handed over to you. Code, configuration, documentation, training material. Yours to keep, yours to share with any successor.

  • Cloud or self-hosted warehouse: BigQuery, Snowflake, Postgres, or TimescaleDB
  • Per-source extract pipelines with scheduled refresh
  • Dimensional model documented in dbt or equivalent
  • Reconciliation reports for the first month post-launch
  • BI tool wired in with starter dashboards
  • Documentation, runbooks, and credential rotation procedures
  • Cost model: monthly run-rate forecast for the next 24 months

Frequently asked

Questions about Data Warehousing.

Cloud or self-hosted? +

Both supported. BigQuery and Snowflake when you want zero ops and pay-per-query; Postgres or TimescaleDB on your VPS when you want fixed cost and full control of the data location. We size the recommendation against your volume, your latency need, and your data-residency rules.

What does it cost to run after you leave? +

For most mid-market customers: AUD low-three-figures per month on cloud warehouses, less on self-hosted. We deliver a 24-month cost model in the engagement so there are no surprises. Pricing of the engagement itself is quoted after a discovery call.

Will it pull from Odoo without breaking the production database? +

Yes. We extract via the JSON-RPC API or read-replica, never against the production OLTP database directly. Refresh schedules tune to whatever your Odoo instance can comfortably serve outside business hours.

Compliance: GDPR, Australian Privacy Act, sector-specific? +

PII columns are masked or excluded by default; explicit allowlist before any personal data enters the warehouse. We sign a DPA, route through your DPIA process, and configure regional data residency on every cloud option. Sector specifics (HIPAA, PCI, ISO 27001) handled case by case.

Can we layer AI on top later? +

Yes, that is the natural next step. A clean warehouse is the prerequisite for any serious AI work; see the AI Implementation service for what comes next.

Other services

Pair Data Warehousing with one of these.

Tell us about your Data Warehousing project.

A short note is enough. We answer in person, within one business day.

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