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Context-Aware Business Intelligence

  • Rafael BerlangaEmail author
  • Victoria Nebot
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 253)

Abstract

Modern business intelligence (BI) is currently shifting the focus from the corporate internal data to external fresh data, which can provide relevant contextual information for decision-making processes. Nowadays, most external data sources are available in the Web presented under different media such as blogs, news feeds, social networks, linked open data, data services, and so on. Selecting and transforming these data into actionable insights that can be integrated with corporate data warehouses are challenging issues that have concerned the BI community during the last decade. Big size, high dynamicity, high heterogeneity, text richness and low quality are some of the properties of these data that make their integration much harder than internal (mostly relational) data sources. In this lecture, we review the major opportunities, challenges, and enabling technologies to accomplish the integration of external and internal data. We also introduce some interesting use case to show how context-aware data can be integrated into corporate decision-making.

Keywords

Business Intelligence Context-awareness External data Linked open data 

Notes

Acknowledgements

This work has been funded by the Spanish Economy and Competitiveness Ministry (MINECO) with project contract TIN2014-55335-R.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Universitat Jaume ICastellónSpain

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