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Business Intelligence

Reports your team will actually open.

Dashboards, data models, and KPI design that turn your operational data into decisions. Built on the data you already have, not the data you wish you had.

What we do

BI that answers the questions you're actually asking.

Rubi Works builds dashboards, data models, and KPI systems that connect to your live operational data — Q360, AlayaCare, Odoo, Power BI, and custom data warehouses. We deliver executive dashboards, labor forecasting, financial analytics, and self-service training so your team can build their own reports. Most BI projects fail because they start with the tool instead of the question. We start with the decisions you need to make and work backward to the data.

What does your operations team need to see every morning? What does your finance team need at month-end? What does leadership need to spot a problem before it becomes a crisis? Then we build exactly that — connected to your live systems, updated automatically, accessible to the people who need it.

Our BI work spans operational dashboards, financial reporting, labor forecasting, project performance tracking, healthcare analytics, and opportunity pipeline analysis. We've built reporting solutions on top of Q360, AlayaCare, Odoo, and custom data warehouses.

Model.
Star schemas and dimensional models that turn raw operational data into a queryable layer
Dashboard.
Executive and operational views your team will actually open every morning
KPI.
Metrics designed around the decisions you make, not the data you happen to have
Train.
Self-service training so your team builds their own reports without us

A dashboard nobody opens is worse than no dashboard at all.

It gives leadership the illusion of visibility while the real decisions still happen in hallway conversations and gut checks. We build the reports people actually use — because we start with the decisions, not the data.

Data sources
Q360 · AlayaCare · Odoo · Power BI · SQL Server · PostgreSQL · Excel · REST APIs · Python · Azure Data Factory · Snowflake · ETL Pipelines
FAQ

Common questions.

What does a BI engagement look like?

We interview stakeholders to understand what decisions they make and what data they use today. Then we build the data layer (ETL pipelines, dimensional models) and the dashboards on top. Delivery in two-week sprints — you see working dashboards early. Typical projects run 4-12 weeks.

Do we need a data warehouse to start?

Not necessarily. We can build dashboards directly on top of your operational databases for quick wins, then introduce a proper analytical layer as your needs grow. The right architecture depends on your data volume and how many source systems you have.

What BI tools do you work with?

We primarily build on Power BI for visualization, with data pipelines in Python and SQL. We connect to any platform with an API or database — Q360, AlayaCare, Odoo, and others. The tool choice depends on your existing stack.

How do you make sure people actually use the dashboards?

By starting with the questions people already ask, not the data that's easy to display. We interview every stakeholder who'll use the reports and design around their actual decision-making workflow. Dashboards nobody opens are worse than no dashboards at all.

Need better visibility into your operations?

Tell us what questions you're trying to answer. We'll show you what's possible with the data you already have.