BUSINESS INTELLIGENCE

Predictive analytics to anticipate demand and risk

We develop predictive analytics with validated, deployed models on your historical data to anticipate demand, risk and behaviour with full traceability.

Predictive analytics to anticipate demand and risk

Predictive analytics matters when you need predictive models on your historical data, not just measuring the past with KPIs. Before selecting tools, we define the sources, data and decisions that must remain under your company's control.

We work from Barcelona and Madrid and remotely with teams across Spain, Europe, LATAM and the United States. The process combines decision sessions, verifiable releases and documentation so progress stays visible.

We hand over models, datasets, repositories, configurations and documentation in accounts owned by your company. You can therefore audit, evolve or change supplier without relying on private access or licences.

We develop predictive analytics with validated, deployed models on your historical data to anticipate demand, risk and behaviour with full traceability. That is why we prioritise a maintainable, measurable solution ready to evolve without rebuilding its foundations.

THE CHALLENGE

The challenges around predictive analytics

The value of predictive analytics depends on a design that serves decisions, not only pretty dashboards.

  • Isolated data

    When historical data is not enough to anticipate, know-how lives scattered across spreadsheets, silos and disconnected systems. Every decision leans on a different version of reality.

  • Late reports

    Manual reports arrive late and with copy errors. By the time the data appears, the decision was already made with other information.

  • No single source of truth

    Each area reads the data its own way and metrics do not match across departments. Trust in the numbers erodes meeting after meeting.

APPROACH

From need to anticipating outcomes with data

We sequence data, model and delivery decisions so the first release is useful and maintainable.

  1. Data map

    We document sources, actors and friction points to define how predictive analytics should connect data with daily operations, before proposing a model.

  2. Model and quality

    We define the dimensional model, calculation rules and quality controls. Each metric is defined once and everyone reads it the same way.

  3. Dashboards

    We build dashboards that answer real decisions, prioritised by usage and value, aimed at anticipating outcomes with data.

  4. Governance and ownership

    We document catalogue, lineage and owners. Your team controls the data and can maintain it without depending on us.

DELIVERABLES

What predictive analytics leaves ready

We deliver a governed data base your team can read, measure and continue to evolve.

  • Modelled data

    predictive analytics on a solid analytical base, with documented calculation and quality rules.

  • Dashboards and KPIs

    Updated dashboards aligned to your indicators, ready for daily consultation and decisions.

  • Model documentation

    A metric catalogue, lineage and sources so anyone understands where every number comes from.

  • Evolution plan

    Data priorities, owners and a backlog to scale BI after the first release.

TRUST

Data applied to real decisions

We implement Power BI and data modelling from Barcelona and Madrid, with governance and delivery under the client's control.

  • Sources, assumptions and risks visible before the project is committed.
  • Models, permissions and data designed for real operations.
  • Reviewable releases before the solution reaches the whole organisation.
  • Code, configuration and documentation under your company's control.

FAQ

Questions about predictive analytics

Have a project in mind?

Tell us what you need around predictive analytics. We will help you turn it into a clear, viable delivery plan.