Data Science and Big Data

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In the Data Science and Big Data Area, we are experts in data-driven 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.).
System architectures based on Big Data (distributed systems), Data Warehousing.
AdvancedTechniques : NOSQL Techniques, Data Vectorization, Big Data Integration, Big Data Quality, etc.

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

Type of analysis: descriptive (query & reporting, OLAP, descriptive statistics, graph analytics), predictive (data mining, machine learning, process-oriented data science, streaming, etc.).
Advanced techniques: explanation of outcome, causality, ethics and equity.
Visualization: dashboards, what-if analysis, geospatial, temporal, networks, advanced visual analytics, etc.

Data Science and Big Data Success Stories

Provide capabilities to help automate the software development process, based on the use of domain ontologies.

Monitor the use of a series of learning resources of the Universitat Oberta de Catalunya.

Support a pilot street test on On-Demand Transportation being carried out by a group of CARNET partners.

First detailed multimodal modeling of the First Crown of the Metropolitan Area of Barcelona.

Automatic system that can collect data from the UOC’s datamart and generate predictive models based on these data.

Monitor teaching and provide UOC faculty with updated and relevant information about their classrooms/subjects.