Method

Data and Big Data analysis

Your own data usually holds the answer before you go out and ask.

We integrate your internal databases — sales, CRM, point of sale, digital traffic — with external sources and with field data, and analyse them together. This is the layer that turns several separate studies into a continuous reading: statistical segmentation, propensity models, time series and dashboards your team can consult without asking us.

How it works

Available sources and their actual quality are audited.

They are cleaned and integrated into a common data model.

The models the question calls for are applied: segmentation, propensity, time series.

It is delivered as a dashboard for continuous consultation, and as a report.

When to use it

Cases where it fits

When you already have years of data that has never been cross-analysed.
To segment the customer base on statistical rather than intuitive criteria.
To anticipate demand or churn with propensity models.
To enrich a field study with your actual history.

At a glance

Typical sample: Depends on the volume available
Duration: 3 to 10 weeks
Coverage: Own and external sources

What you get

Integrated, documented data model
Statistical segmentation with a profile per group
Continuous-consultation dashboard
Report with findings and with the limits of the data

Frequently asked questions

What if our data is messy?

That is the norm, and cleaning is part of the project, not an extra. What we do insist on is stating from the initial audit which questions the available data will not be able to answer — so nobody buys a model resting on a field that went unfilled properly for three years.

Let's talk about your project

Tell us what decision you are facing and we will tell you which study answers it.

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