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When the dashboard is no longer enough.

Predictive models, large-scale processing and machine-learning automation. For the questions that start with «how much will» instead of «how much did».

Book an assessment See frequent questions

When BI turns into this

Business intelligence answers what happened and why. This starts where that falls short: estimating next month's demand, spotting which customers are about to leave, finding the pattern in a volume no spreadsheet can hold.

The precondition is enough data, in order. Without clean history no model is worth anything, and saying so up front is cheaper than discovering it halfway through.

What it turns into

  • Predictive models

    Demand, customer churn, default risk. With the accuracy figure up front, not buried.

  • Large volumes

    Distributed processing for when data stops fitting on one machine and queries start taking hours.

  • Automation

    Classifying, extracting or prioritising what today someone reviews by hand, one at a time.

  • Deployment

    A model in a notebook helps nobody. It gets deployed where it's used and monitored, because models degrade over time.

Before you decide

What we usually get asked.

How much data is needed?
It depends on the question, but as a rule you need enough history for the pattern to repeat: for seasonality, at least a couple of years. If it isn't there, the honest answer is to say so and start by recording properly, not by modelling.
Is this artificial intelligence?
It's machine learning, the part of AI applied to your own data to predict or classify. It isn't the same as plugging in a conversational assistant, which is a different conversation and usually solved another way.
What if the model gets it wrong?
It will, always by some percentage. That's why it ships with its accuracy figure and we decide together what margin is acceptable for what it will decide. A model without that number beside it can't be used for anything serious.

Shall we look at your case?

The first assessment is free and produces a written scope. Message us and we'll set it up. Monday to Friday, 10:00 – 17:00 (GMT-5).

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