Autor:
Caralt, Oriol

Foto de perfil
E-mails conocidos
oriol.caralt@gmail.com
Fecha de nacimiento
Proyectos de investigación
Unidades organizativas
Puesto de trabajo
Apellidos
Caralt
Nombre de pila
Oriol
Nombre
Nombres alternativos
Afiliaciones conocidas
Independent consultant, Barcelona, Spain
Páginas web conocidas
Página completa del ítem
Notificar un error en este autor

Filtros

20231
Restablecer filtros

Ajustes

Resultados de la búsqueda

Mostrando 1 - 1 de 1
  • Miniatura
    Artículo
    Towards a Framework Driven by Use Cases in Data-heterogeneous Environments
    Molina, Ginés; Caralt, Oriol; Martínez, Jose A.; Cánovas Izquierdo, Javier Luis. Actas de las XXVII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2023), 2023-09-12.
    Most organizations base their strategic decisions on the analysis of business performance data. With the emergence of artificial intelligence, this analysis also includes the application of machine learning techniques, among others, which help to discover and predict patterns in data. Although there are a number of tools to perform data analysis, they require a considerable effort to be adapted to each company's use case. Companies need to consider the cost associated with the infrastructure or the commitment to profiles responsible for building and maintaining these tools. Furthermore, the return on investment is hampered by the lack of skills, leadership or policies for using these tools. This paper proposes a framework to address this situation by facilitating the process to consume and analyze data over time. Our proposal emphasizes the definition of data use cases, which drive the data enablement, consumption, discovery and storage phases. The proposed framework is being developed and put into practice through an industrial PhD within some companies evolving to be data-driven, thus allowing real-world validation.