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Business Intelligence and Information Systems for Decision Making

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Term
Definition
petabyte   10^15 bytes  
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exabyte   10^18 bytes  
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business intelligence (BI)   information that results from the processing of operational data to create information that exposes patterns, relationships, and trends of importance to the organization  
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business intelligence (BI) system   a system that provides the right information, to the right user, at the right time. A tool produces the info but a system makes it right  
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reporting systems   a system that creates information from disparate sources and delivers that information to the proper users on a timely basis  
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data mining systems   IS that processes data using sophisticated statistical techniques to find patterns and relationships that cannot be found by simpler operations  
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market-based analysis   data mining technique for determining sales patterns. shows the products that customers tend to buy together  
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knowledge management systems   IS for storing and retrieving organizational knowledge, whether that knowledge is in the form of data, documents, or employee know-how  
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Expert systems   knowledge-sharing system that is created by interviewing experts in a given business domain and codifying the rules used by those experts  
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dirty data   problematic data  
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granularity   level of detail in data  
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clickstream data   e-commerce data that describes a customer's clicking behavior. Includes everything the customer does at the Web site  
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curse of dimensionality   the more attributes there are, the easier it is to build a data model that fits the sample data but is useless as a predictor  
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data mining   the application of statistical techniques to find patterns and relationships among data  
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unsupervised data mining   data mining whereby the analysts do not create a model or hypothesis before running the analysis. Create hypothesis after results are found  
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cluster analysis   unsupervised data mining technique whereby statistical techniques are used to ID groups of entities with similar characteristics  
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supervised data mining   data mining where miners develop a model prior to the analysis and statistical techniques to data to estimate values of the parameters of the model  
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regression analysis   linear estimator  
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neural networks   supervised data mining technique used to predict values and make classifications  
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