Business Intelligence and the Web - Guest editors' introduction

نویسندگان

  • Malú Castellanos
  • Florian Daniel
  • Irene Garrigós
  • Jose-Norberto Mazón
چکیده

Over the last decade, we have been witnessing an increasing use of Business Intelligence (BI) solutions that allow enterprise to query, understand, and analyze business data in order to make better decisions. Traditionally, BI applications allowed business people to acquire useful knowledge from the data of their organization by means of a variety of technologies, such as data warehousing, data mining, business performance management, OLAP, periodical business reports, and the like. Yet, in the very recent years, a new trend emerged: BI applications no longer limit their analysis to the data inside a company only. Increasingly, they also source their data from the outside, i.e., from the Web, and complement company-internal data with value-adding information from the Web (e.g., retail prices of products sold by competitors), in order to provide richer insights into the dynamics of today’s business. In parallel to the move of data from the Web into BI applications, BI applications are experiencing a trend from company-internal information systems to the cloud: BI as a service (e.g., hosted BI platforms for smalland medium-size companies) is the target of huge investments and the focus of large research efforts by industry and academia. This special issue of Information Systems Frontiers on Business Intelligence and the Web targets the above two moves:Web data feeding BI and engineeringWeb-enabled BI.

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عنوان ژورنال:
  • Information Systems Frontiers

دوره 15  شماره 

صفحات  -

تاریخ انتشار 2013