Our Data & Analytics value proposition covers projects in all phases of the data life cycle, from mass data ingestion, applying engineering tasks to heterogeneous data, analyzing them intelligently and providing knowledge to users and organizations, essential for management, decision-making and anticipating needs.
Descriptive Analysis. Consolidation and exploitation of data to obtain knowledge that helps in day-to-day decisions and diagnosis of events.
Predictive Analysis. Ability to project those variables that directly impact the business, allowing for proactive management.
Prescriptive Analysis. Proposal of specific actions to improve the business, providing proactive support in decision-making.
Machine Learning. Algorithms for improving results, understanding the market and identifying opportunities.
Deep Learning. Application of intelligence and cognitive capabilities in the company's commercial functions and systems.
Big Data. Architectures for processing and exploiting large volumes of heterogeneous data in real time.
Data Discovery. Data mining through guided analytics and self-consumption for decision making.
Natural Language Processing. Proprietary and third-party Natural Language Processing-based analytics solutions.
HEAD OF DATA & ANALYTICS
Jordi Llobet, Head of Data & Process en Entelgy, firma en EL ESPAÑOL una tribuna en la que analizamos cómo la
Entelgy, The BusinessTech Consultancy, repasa la evolución de las diferentes tecnologías que han existido a lo largo