Generate a web application to analyze alternatives and define a work methodology that allows establishing a common framework for the different specialists.
Data Science and Big Data
Data Science and Big Data Description
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
The objective of this project is to contribute to the improvement of some of the analytical tools developed by Amalfi to improve the management of the healthcare system.
Development of a Machine Learning algorithm applied to predict the non-renewal of contracted products.
System for analysing the behavioural patterns of companies on different social networks.
Development and scaling of MoirAI, an intelligent platform for the optimization of Data-Driven Marketing processes focused on the tourism sector.
Proposal of a set of tools to facilitate the integration, enrichment and analysis of the data provided by the Department of Social Welfare of the Barcelona City Council.