Data Mining
Find patterns hiding in your data. Before competitors do.
Pull signal out of years of operational data. Customer behaviour, sales cycles, inventory turnover, supplier reliability, product profitability. We do the extraction, the cleansing, the modelling, and the reporting that turns historical data into decisions you can act on this quarter. From Odoo, your e-commerce platform, your POS, your support desk, anywhere data lives.
Right for you if
- You have 12+ months of data in Odoo, your CRM, your POS, or another operational system that nobody mines.
- Your dashboards report what happened; you want to know why, and what is likely next.
- You suspect there is value in your data but no one in the team has the time or skill to pull it out.
Not right for you if
- You have less than a year of data. Patterns need history; we will tell you when to come back.
- You want a dashboard, not insight. Consider Consultation or Data Warehousing instead.
Methodology
How a Data Mining engagement actually runs.
5 phases. Every artefact written down, every decision logged, every handover documented.
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01
Source audit
Inventory every system holding business data. Volumes, schemas, freshness, gaps. Output is a one-page map of what is actually mineable, what is too sparse, and what should be instrumented before we start.
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02
Extract and cleanse
Pull data from each source into a working dataset. Deduplicate, normalise units and dates, handle missing values explicitly. The cleansed dataset is itself a deliverable; you can re-use it for any future analytics.
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03
Model and analyse
Apply the right techniques per question: clustering for customer segments, association rules for cross-sell, regression for demand drivers, anomaly detection for fraud. Statistical, not theatrical; we explain what the model says and what it cannot.
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04
Report and act
Top 10 patterns ranked by business value, each with an evidence trail and a recommended action. Plain English, not jargon. Sales, ops, finance, marketing each get a section they can run with.
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05
Monitor
A small refresh pipeline so the patterns stay current as new data arrives. You see drift early, catch new opportunities, and know when a model needs to be retrained.
What you receive
Deliverables.
Every artefact handed over to you. Code, configuration, documentation, training material. Yours to keep, yours to share with any successor.
- Source-system data inventory map
- Cleansed working dataset (CSV / Parquet, your choice)
- Top 10 patterns report with evidence and recommended actions
- Customer segmentation, churn, and lifetime value models where data supports them
- Refresh pipeline so insights stay current
- Plain-English executive summary
- Optional: BI dashboard wired to the cleansed dataset
Frequently asked
Questions about Data Mining.
Can you mine data sitting outside Odoo? +
Yes. We pull from any system with an API, a database export, or a flat-file dump. Common sources: Shopify, WooCommerce, Magento, Square, Stripe, Xero, MYOB, QuickBooks, Salesforce, HubSpot, Zendesk, Mailchimp, plus any legacy SQL Server or MySQL we can reach. Odoo is just one of many.
Where does the data live during and after the engagement? +
On infrastructure you choose: your cloud, our managed environment, or self-hosted on your servers. Region of your choosing. We sign a DPA before any data leaves your systems; you own the cleansed dataset at the end either way.
How is this different from running BI on top of Odoo? +
BI tells you what happened; data mining tells you what is likely to happen and why. BI is dashboards on yesterday's numbers; mining is models that surface non-obvious patterns and predict the next quarter. We often deliver both, the dashboards on top of the cleansed dataset.
Can we keep the models running after you leave? +
Yes. Models are documented, code is yours, refresh pipeline runs on infrastructure you control. We hand over a runbook your team can operate, or stay on a Heritage support retainer if you prefer.
What data volumes can you handle? +
From a few hundred thousand rows up to hundreds of millions. Above that we are in data-warehouse territory and we route the project through Data Warehousing first. Either way the techniques and the discipline are the same.
Other services
Pair Data Mining with one of these.
Tell us about your Data Mining project.
A short note is enough. We answer in person, within one business day.