Transcription of Business Intelligence Analytics
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Business Intelligence Analytics
22 September/October 2014 Published by the IEEE Computer Society 0272-1716/14/$ 2014 IEEEG uest Editors IntroductionBusiness Intelligence AnalyticsDanyel Fisher, Steven Drucker, and Mary Czerwinski Microsoft ResearchBusinesses are increasingly monitoring and tracking data about what it takes to keep themselves running. They collect and maintain increasingly available data, such as transaction and sales data stored in data ware-houses, server log files tracking visitors, data from sensors tracking delays on factory floors, IT data logs, and data on their competitors and industrial decision making orienting Business decisions around data drives major IT initiatives across all Business buzzwords such as data-driven deci-sions and its big data and data science cous-ins might be overused, underneath them lie real opportunities for organizations to understand and reflect on their processes and the information is only the first step.
Business Intelligence Business intelligence (BI) is the practice of in-terpreting and visualizing data to make useful business-oriented decisions. BI tasks occur in of-fices, universities, and data centers and provide data-oriented lifeblood to research and business organizations worldwide. BI systems must often
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