Data Science and Big Data

Description of Data Science and Big Data

In the Data Science and Big Data Area, we are experts in data-based decision-making, i.e. data management and analysis.

Data management: Collection, storage, integration and processing of data

  • From where?: Own and third party data (Open Data, Internet of Things, etc.)
  • Data-driven system architectures: Big Data (distributed systems), Data Warehousing
  • Advanced Techniques: NOSQL, Data Vectorization, DataOps, MLOps, Big Data Integration, Big Data Quality, etc.

Data analysis: data preparation for analysis, feature generation, model learning/creation, model validation, interpretation and visualization

  • Tipus d’anàlisi: descriptive (query & reporting, OLAP, descriptive stadistics, graphs analytics), predictive (data mining, automatic learning, process-oriented data science, streaming, etc.)
  • Advanced techniques: explanation of outcome, causality, ethics and equity
  • Visualization: dashboards, what-if analysis, geoespatial, temporal, graphs, advanced visual analytics, etc.

Success Stories of Data Science and Big Data

Design of new strategies, based on machine learning algorithms and data analysis, to improve the efficiency and performance of electric vehicle motors and batteries.