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Business Intelligence · Discover

BI business software for Odoo users

Business intelligence turns what your systems already record into something a manager can act on. Captivea designs and implements analytics on top of Odoo: one set of definitions, dashboards built around the decisions they support, and no monthly spreadsheet ritual.

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The principle

What BI does that exports don't

Most companies already produce reports. The work is in the preparation: exporting from Odoo, cleaning it up, reconciling with a second tool, rebuilding the same charts, then arguing about which number is right. BI moves that work upstream and runs it automatically:

  • Data is extracted from Odoo, and from the other systems that matter.
  • It is aligned into one structure, so the same customer, product or project is recognized everywhere.
  • Indicators are calculated once and defined once: margin, conversion, lead time, coverage.
  • Dashboards present the result, by role, with a path from the headline number down to the individual transaction.

The gain isn't prettier charts. It's that the monthly debate shifts from “whose figure is correct” to “what do we do about it”, and that a manager can answer a question in the meeting instead of promising to look into it.

See every Business Intelligence benefit

Where it pays off

What our clients use BI for

Seven concrete starting points. Each one is a real project pattern we've delivered on Odoo, not a feature list.

Analyze supply chain performance

Anticipate your HR needs

Anticipate your HR needs with Odoo Business Intelligence

Automate your accounting reporting

Automate your accounting reporting with Odoo Business Intelligence

Consolidate your financial data

Consolidate your financial data with Odoo Business Intelligence

Measure your overall performance

Measure your overall performance with a BI dashboard integrated into Odoo

Track your industrial productivity

Track your industrial productivity with a BI tool integrated into Odoo

Understand what drives your sales performance

Understand what drives your sales performance with Odoo Business Intelligence

Most projects begin with one of these and extend outwards once the definitions are agreed on and the first dashboard is being used weekly.

Reporting or analytics

Odoo reporting and BI dashboards answer different questions

Standard Odoo reporting is built for operational follow-up: open quotations, late orders, stock moves, tasks due today. It answers what is happening right now, and it does it well. There is no reason to rebuild it in a BI tool.

Analytics answers a different family of questions:

  • Trends — how has this moved over the last six, twelve or twenty-four months?
  • Comparisons — which region, product line or channel actually performs?
  • Causes — what explains the drop in margin, the lengthening lead time, the churn?
  • Scenarios — what happens to the result if we change pricing, discounting or stock policy?

Both coexist. Part of the design work is deciding what stays in the Odoo screens people use all day and what belongs in a dashboard they open weekly — so nobody has to guess where to look.

The backbone

The KPIs worth starting from

For a mid-sized company on Odoo, the indicators that change decisions are usually the plainest ones. Five families cover most of it.

Sales and revenue

  • Order intake against budget
  • Win rate and average deal size
  • Recurring revenue and churn, for subscription models

Profitability

  • Gross margin by product, customer and channel
  • Contribution margin by project or contract

Operations and supply

  • Stock coverage and stockouts on the items that matter
  • Supplier on-time delivery and purchase price evolution

Projects and services

  • Planned versus actual time
  • Project margin and backlog by team

Finance and cash

  • Aging of receivables
  • Cash position and upcoming commitments

And what to leave out

A dashboard with forty indicators is a dashboard nobody reads. We would rather ship six that get looked at every week and add to them than deliver a wall of metrics on day one.

Method

How we build a dashboard someone actually uses

A dashboard is decision-ready when a manager can see a problem, understand its cause and choose an action in a few clicks. Getting there is a sequence, not a design exercise:

  1. Name the decision. Which choice is this screen meant to support — budget, staffing, stock level, pricing? A dashboard without a decision behind it becomes wallpaper.
  2. Keep the indicators that move that decision and drop the ones that merely look serious.
  3. Decide how the data is cut: by period, entity, product family, customer segment, project type.
  4. Choose visuals that make the pattern obvious. Lines for trends, bars for comparisons, funnels for conversion, gauges only where a threshold genuinely matters.
  5. Validate with the people who will open it before rolling it out, and adjust. This step is where most BI projects are won or quietly lost.

The result is embedded in Odoo or in your BI portal, so getting to it costs one click rather than a login nobody remembers.

FAQ

Business intelligence on Odoo: your questions answered

Less a question of brand than of fit. The criteria that decide it: the quality of the Odoo connector and support for your version, whether the tool can handle your data volume today and in three years, access rights by role and separation between companies, whether business users can explore the data without calling IT every time, and the total cost — licences, infrastructure, implementation and maintenance combined. We work with several BI technologies and choose based on those, not from a shortlist.

Yes, and most projects do. Web traffic and campaign data alongside Odoo sales to follow the funnel from visit to invoice; marketplace or e-shop orders aligned with inventory; an external accounting or consolidation tool reconciled with Odoo finance; machine or sensor data on operational dashboards. We build the extraction and transformation flows, plus the data quality checks and monitoring that keep them reliable once no one is watching them anymore.

No. It means the data from your systems can be read together. Odoo becomes the backbone of performance measurement, enriched from elsewhere where that's useful — product codes, customer identifiers and dates aligned so you're comparing like with like. Replacing every tool is a different project, and usually not the one worth tackling first.

It is, provided it stays proportionate. Without an internal data team, value has to arrive fast: start from the decision that is currently hardest to make — cash visibility, profitability, workload, stock — use pre-structured models for the standard Odoo processes, and limit yourself to a handful of clear indicators. The same foundation then takes on new KPIs, entities or countries without starting over.

A first dashboard on a well-defined scope is a matter of weeks, not quarters. The long pole is rarely the tool: it is agreeing on the definitions. Once the company has settled what “margin” means and which date a sale is counted on, the rest moves quickly.

Let's talk

Ready to see your numbers without rebuilding them?

Tell us what you currently put together by hand every month and which decisions it is meant to support. We will get back to you with a BI roadmap sized for your organization, your teams and your growth plans.