http://hdl.handle.net/2117/3575 2013-05-20T00:41:49Z http://hdl.handle.net/2117/16252 Title: Agile approach to business intelligence as a way to success Authors: Fernández González, Jorge; Mayol Sarroca, Enric; Pastor Collado, Juan Antonio Abstract: In this chapter we present an overview of several methodological approaches used in business intelligence (BI) projects, as well as data warehouse projects. This study reveals that some of them reveal weaknesses, since they are not specifically defined for BI projects, and thus they do not fit specific BI project characteristics or user requirements. These may be the main cause explaining that there is not a broadly accepted BI methodology by practitioners. Even though the goal to find the “best BI methodology” is difficult (or impossible) to meet, we think that any best-class BI methodology may follow an agile approach to better fit BI project characteristics and practitioners’ requirements. In this sense, we have analysed BI project characteristics as well as agile principles defined in the Agile Manifesto, and we have identified a strong relationship between these two sources. In this chapter, we show this strong relationship between the so-called critical success factors for BI projects and the Agile principles. Therefore, based on our analysis, we consider that successful BI methodologies must follow an agile approach. 2012-07-13T10:34:39Z http://hdl.handle.net/2117/15937 Title: Semantic web technologies for business intelligence Authors: Berlanga, Rafael; Romero Moral, Óscar; Simitsis, Alkis; Nebot, Victoria; Pedersen, Torben Bach; Abelló Gamazo, Alberto; Aramburu, María José Abstract: This chapter describes the convergence of two of the most influential technologies in the last decade, namely business intelligence (BI) and the Semantic Web (SW). Business intelligence is used by almost any enterprise to derive important business-critical knowledge from both internal and (increasingly) external data. When using external data, most often found on the Web, the most important issue is knowing the precise semantics of the data. Without this, the results cannot be trusted. Here, Semantic Web technologies come to the rescue, as they allow semantics ranging from very simple to very complex to be specified for any web-available resource. SW technologies do not only support capturing the “passive” semantics, but also support active inference and reasoning on the data. The chapter first presents a motivating running example, followed by an introduction to the relevant SW foundation concepts. The chapter then goes on to survey the use of SW technologies for data integration, including semantic data annotation and semantics-aware extract, transform, and load processes (ETL). Next, the chapter describes the relationship of multidimensional (MD) models and SW technologies, including the relationship between MD models and SW formalisms, and the use of advanced SW reasoning functionality on MD models. Finally, the chapter describes in detail a number of directions for future research, including SW support for intelligent BI querying, using SW technologies for providing context to data warehouses, and scalability issues. The overall conclusion is that SW technologies are very relevant for the future of BI, but that several new developments are needed to reach the full potential. 2012-05-29T11:46:14Z http://hdl.handle.net/2117/6470 Title: Competencias profesionales para el Grado en Ingeniería Informática Authors: Sánchez Carracedo, Fermín; Sancho Samsó, María Ribera; Botella López, Pere; García Almiñana, Jordi; Aluja Banet, Tomàs; Navarro Guerrero, Juan José; Balcázar Navarro, José Luis Abstract: Degrees in the EHEA (European Higher Education Area) must be designed based on professional skills, so that when the students finish their studies they become competent professionals in the labour market. In this paper we propose a weighted list of skills for a undergraduate degree in Informatics Engineering, classified into two groups: technical and generic. Technical skills are divided into five different itineraries:computer engineering, computer science, information systems, information technologies and software engineering. Los planes de Estudios del EEES (Espacio Europeo de Educación Superior) deben ser diseñados a partir de competencias profesionales, de forma que al final de sus estudios el egresado se convierta en un profesional competente en el mercado laboral. En este artículo se propone una lista de competencias ponderada para un título de Grado en Ingeniería Informática clasificadas en dos grupos: transversales y técnicas. Dentro de las técnicas se definen cinco itinerarios distintos: computación, ingeniería de computadores, ingeniería del software, sistemas de información y tecnologías de la Información. 2010-02-25T12:43:01Z