Zorrilla, Mazón, Ferrández, Garrigós, Daniel, and Trujillo have done a great job in compiling a book that fills the gap in the related bibliography with an interesting and comprehensive coverage of the challenges that we face for linking business intelligence and the Web. The book contains a mixture of research insights, system architectures, discussion of tools, and real-world cases and organizes the discussion of these issues in two areas of coverage. First, the book covers the area of exploitation of data that are already present in the Web for the purposes of business intelligence. The book discusses topics like the management of unstructured text and its combination with super-structured environments like data warehouses and OLAP tools, as well as the management of relevance, freshness, and in general, quality of the Web data with a view to its exploitation via business intelligence tools. The second area involves the automation of data processing and the usage of the Web as a platform for business intelligence including topics like BI-as-a-service, mashups and the Semantic Web for business intelligence, and, collaborative business intelligence. The book mainly acts as a reference for the state of the art in several areas, including problems and challenges that are not straightforward to be addressed as well as suggestions for paths to follow. The book's primary target is breadth of coverage, with suggestions of the relevant readings for further probing and initial insights for solutions, rather than an in-depth investigation of technical problems in the typical research-oriented fashion. In this sense, the text is easy to follow without losing its interest or significance. In my opinion, the book's primary audience is the interested researcher or practitioner who wants to get a broader view of the environment around the combination of Web and business intelligence, with pointers to the state of the art, as well as the broader challenges that remain open.
– Panos Vassiliadis, Ioannina