Enterprise information systems are increasingly being conceived as a combination of
existing systems and to work as a part of an ecosystem of software products. This change …

In secondary data use context, traditional data warehouse design methods don't address
many of today's challenges; particularly in the healthcare domain were semantics plays an …

Data warehousing projects still face challenges in the various phases of the development
life cycle. In particular, the success of the design phase, the focus of this paper, is hindered …

Abstract The concept of Digital Twin (DT) has gained popularity as a digital representation of
physical entities that interact with their real-world counterparts in (near) real-time through …

The design phase of a data warehousing project remains difficult for both decision makers
and requirements analysts. In this paper, we tackle this difficulty through two contributions …

An issue in operating a national electric system is how the corporate image of an
Independent System Operator (ISO) can be impacted by disturbances in the system and …

Data warehousing provides an excellent approach for any organization in transforming
operational data into useful and reliable information to support the decision making process …

Business Intelligence (BI) fosters proper decision-making in organizations, mainly by
providing the means to analyze historical data stored in repositories called Data …

Enterprise information systems are increasingly being conceived as a combination of
existing systems and to work as a part of an ecosystem of software products. This change …

Los modelos multidimensionales y sus medidas en relación con diferentes dimensiones son
poderosos instrumentos para la toma de decisiones. Las ontologías, en su expresión básica …