Data Integration & Analytics

Data Integration & Analytics

We manage databases of any size and complexity. We migrate, transform, analyse and visualize them to extract all of their value and utility.

Auditing and data quality

We preventively and proactively assess the quality of data, together with functional analyses and the client’s personalized rules, and produce tailor-made reports on the critical and weak points of the client’s current data.

Data monitoring

We track large volumes of non-real-time network traffic data (telephone, WAN, radio…).

We offer tailor-made models adapted to any need that can be used for integration with other customer services or systems.

Data governance

We make inventories of data masters and establish good practices in information flows to ensure the accuracy and quality of information.


We design and implement custom dashboards for any system and offer a reporting system tailored to client needs.

Data migration

We analyse source systems to carry out data migration to other target systems.

We apply functional and coherence rules to guarantee the migration’s success and produce reports in accordance with the client’s requirements.

Collaborative fraud analysis

We create graph-based models that visually determine environments in which there may be collaborative fraud, which we can implement with third-party systems, specializing in insurance.

Credit risk management

We analyse and implement algorithmic models that determine bank scoring, specializing in consumer loans.

From our multidisciplinary team we lead the models to a high mathematical and statistical efficiency and quality of developments.

Data pipelines

We design and develop processes to control the data transformations involved in the workflows of the different phases to take advantage of information.

Data lakes & Data warehouses

We offer different solutions for the best use of the data according to the needs defined by the client.

We design and implement the optimal architecture in the cloud as well as on-premise.

Data modeling

Each business has its particularities, and therefore it is essential to model the data in a custom-made way.

This maximizes the performance and guarantees data quality during their life cycle.

In this way, we analyse in detail the key aspects of our clients business’ and design the model that best suits their needs.

Success cases

Datawarehouse Consolidation and Integration

see case of success

Success cases

Integrated data engineering management service

see case of success

Success cases

Mass conversion of data from the Zeus GNF application

see case of success

Success cases

Volava: Online fitness classes

see case of success

Looking for a solution?

Tell us about your needs. Write to us through this form, and we will offer you the solution that best suits them.

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