Analytics

If you can't measure it, you can't manage it.

Our value proposition in Data & Analytics covers projects in all phases of the data lifecycle, from massive data ingestion, applying engineering tasks to heterogeneous data, analysing it intelligently and providing knowledge to users and organisations, essential for management, decision-making and anticipating needs.

Our Data & Analytics team works on projects and develops solutions at different stages of the analytical journey:

Descriptive analysis. Consolidation and exploitation of the data, to obtain knowledge that helps in day-to-day decisions and diagnosis of what has happened.
Predictive Analytics. Ability to project those variables that have a direct impact on the business, enabling proactive management.
Prescriptive Analysis. Proposal of specific actions to improve the business, providing proactive support in decision-making.

Within this framework, we devise, develop and implement solutions in the fields of Data and Advanced Analytics. Some of our areas of specialisation are:

Machine Learning. Algorithms for improving results, understanding the market and identifying opportunities.
Deep Learning. Application of intelligence and cognitive capabilities in the company's business functions and systems.
Big Data. Architectures for the processing and exploitation of large volumes of heterogeneous data in real time.
Data Discovery. Data exploitation through guided analytics and self-consumption for decision-making.
Natural Language Processing. Analysis solutions based on proprietary and third-party Natural Language Processing.