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Business Operation Intelligence
2002In the last decade we have witnessed an increased trend towards automating all the interactions that a company has with its customers, suppliers, and employees. This trend is continuing even in the economic downturn, since automation not only allows for faster processing, but can also reduce costs and errors due to the diminished need for human ...
Fabio Casati +2 more
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Virtuous Business Intelligence
International Journal of Business Intelligence Research, 2015This paper examines three approaches to ethics and focuses on the development of character and the practice of virtue in business intelligence (BI). The paper describes BI as a tool for mediating the relationships between pairs of stakeholders such as management and customer.
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Situational Business Intelligence
2009Traditional business intelligence has focused on creating dimensional models and data warehouses, where after a high modeling and creation cost structurally similar queries are processed on a regular basis. So called "ad-hoc" queries aggregate data from one or several dimensional models, but fail to incorporate other external information that is not ...
Alexander Löser +2 more
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Business Intelligence Revisited
2017 Fifth International Conference on Advanced Cloud and Big Data (CBD), 2017Combining big data with machine learning is a powerful tool for business intelligence (BI). Developed in the database community, The traditional ETL-data warehouse-OLAP approach to BI is effective to deal with multi-dimensional data (i.e. data cubes) but not suitable for flexible analytics such as exploration with ad hoc queries and process/data ...
Jianwen Su, Yan Tang
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Business Plus Intelligence Plus Technology Equals Business Intelligence
International Journal of Business Intelligence Research, 2010In this article the authors will show how the parallel developments of information technology at the operational business level and decision support concepts progressed through the decades of the twentieth century with only minimal success at strategic application.
Ira Yermish +4 more
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Intelligent techniques for business intelligence in healthcare
2010 10th International Conference on Intelligent Systems Design and Applications, 2010Business intelligence is a new methodology to maximize the benefits for healthcare organization Business intelligence provides an integrated view of data that can be used to monitor, key performance indicators, identify hidden patterns in diagnosis and identify variations in cost factors.
Maria Antonina Mach +1 more
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BUSINESS INTELLIGENCE IN INDUSTRY [PDF]
Interdisciplinary Management Research, 2013 Business intelligence is making decisions based on the data collected and pro- cessed in the selected information. Though the term business intelligence has been used for a number of years, it was not established in practice until the mid-1990s. The reason for this was the development of the Internet and easier access to expo- nentially increasing ...
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2014
During the last two decades technology evolved in a way that resulted in massive data. Enterprises built expensive infrastructures to turn data into valuable information in support of the management’s decision making, giving rise to Business Intelligence.
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During the last two decades technology evolved in a way that resulted in massive data. Enterprises built expensive infrastructures to turn data into valuable information in support of the management’s decision making, giving rise to Business Intelligence.
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Augmented Business Intelligence. [PDF]
, 2019 Augmented reality allows users to superimpose digital information (typically, of operational type) upon real world entities. The synergy of analytical frameworks and augmented reality opens the door to a new wave of situated OLAP, in which users within a physical environment are provided with immersive analyses of local contextual data.
FRANCIA, MATTEO +2 more
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The Fundamentals of Business Intelligence
International Journal of Organizational and Collective Intelligence, 2016This article analyzes the recent literature in the search for the fundamentals of business intelligence (BI). The literature review covers the overview of BI; BI and technology acceptance model (TAM); BI, Big Data, and social media; the elements of BI; the characteristics of BI; enterprise information system (EIS) and cloud computing; the importance of
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