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Data Science

Make better decisions with predictive models, personalized recommendations, and advanced data analysis.

Models that anticipate, recommend, and optimize.

Incorporate predictive and prescriptive models that integrate into your processes to anticipate behaviors, estimate outcomes, and suggest the best possible actions.
Gain advanced insights that uncover hidden patterns, improve operational accuracy, and support clearer, more confident planning.

70

Increase in certainty about the “target population”

52

Increase in the average ticket of inspections in public administrations

30

Increase in sales after a marketing campaign based on our models

Benefits

The value behind the solution.

Marketing personalization

Gain deeper customer understanding to deliver personalized experiences, improve audience segmentation, and boost campaign performance, increasing satisfaction and loyalty.

Supply chain optimization

Forecast demand, adjust inventory levels, and enhance logistics to reduce costs, prevent stockouts, and accelerate delivery times.

Fraud detection

Identify unusual transaction patterns and detect suspicious activities in real time, reducing losses and strengthening overall security.

Our methodology

We combine the best of methodologies such as CRISP-DM, SEMMA, and the Foundational Methodology for Data Science to work with an organized, practical, and adaptable approach. This ensures clear objectives, reduced uncertainty, and models that deliver real value from the early stages of the project.

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Insights

News, trends and perspectives about Data Science.

In the energy business, the time factor is crucial. Decisions about which plants to start up, when to do it, and at what capacity require careful planning. It is not enough to simply react to real-time consumption: every mistake impacts efficiency and can put the stability of the system at risk.