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Data Science

Understand your data. Give your decisions a stronger foundation.

We prepare, organize and analyze data to answer business questions. The work can include indicators, predictive models and data structures that support your organization’s decisions and applications.

OPERATIONAL DIAGNOSTIC & MARKET FRICTION

Start with the question your data needs to answer.

01CRITICAL VECTOR

Information is scattered across different sources.

02CRITICAL VECTOR

You need to understand patterns in your operation.

03CRITICAL VECTOR

You want to explore possible future behavior using historical data.

04CRITICAL VECTOR

Your applications need better-organized data.

CORE CAPABILITIES & SYSTEM SPECS

Engineering intervention and system specifications.

SPEC // 01

Predictive analytics and business intelligence

QUADRANT · PREDICTION
QUADRANT · PREDICTION

Develop indicators and models that help explain behavior and estimate possible outcomes.

SPEC // 02

Database architecture

CARTOGRAPHY · ETL
CARTOGRAPHY · ETL

Clean, restructure or migrate data to support its use, integration and further development.

SPEC // 03

Data mining

TESSELLATION · MINING
TESSELLATION · MINING

Explore datasets and relationships between variables to investigate specific business questions.

DATA ENGINEERING & INFERENCE

Need to turn fragmented data into reliable predictive inference models?

Analyze data feasibility
EXECUTION PROTOCOL & SOVEREIGN TRANSFER

Connect the analysis with the decision it needs to support.

FASE 01

Understand and define

Establish the questions, available sources, access conditions and criteria for useful results.

FASE 02

Design

Define the analytical approach, preparation requirements and methods for evaluating the work.

FASE 03

Build and validate

Prepare the data, carry out the analysis and evaluate models or indicators against their intended use.

FASE 04

Integrate and evolve

Deliver and document the results, explain their interpretation and support the agreed integration or knowledge transfer.

Can you work with data from multiple sources?

Yes. We assess how the sources can be combined, considering their formats, quality and access conditions.

How should we interpret a predictive model?

Its outputs are estimates based on the available data and assumptions. We explain their uncertainty and limitations so they can be used with appropriate judgment.

Will we receive a report or a working tool?

That depends on the scope. Deliverables can include reports, prepared datasets, models, databases or tools for consulting the results.

Tell us what you need to understand.

Share the decision you need to support, the information available and the difficulties you currently face. We can assess how data work could help.

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