Business Intelligence and Information Systems for Decision Making
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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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