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BACS 300 Chapter 9
Business Intelligence and Information Systems for Decision Making
| Term | Definition |
|---|---|
| petabyte | 10^15 bytes |
| exabyte | 10^18 bytes |
| 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 |
| 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 |
| reporting systems | a system that creates information from disparate sources and delivers that information to the proper users on a timely basis |
| data mining systems | IS that processes data using sophisticated statistical techniques to find patterns and relationships that cannot be found by simpler operations |
| market-based analysis | data mining technique for determining sales patterns. shows the products that customers tend to buy together |
| knowledge management systems | IS for storing and retrieving organizational knowledge, whether that knowledge is in the form of data, documents, or employee know-how |
| Expert systems | knowledge-sharing system that is created by interviewing experts in a given business domain and codifying the rules used by those experts |
| dirty data | problematic data |
| granularity | level of detail in data |
| clickstream data | e-commerce data that describes a customer's clicking behavior. Includes everything the customer does at the Web site |
| 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 |
| data mining | the application of statistical techniques to find patterns and relationships among data |
| 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 |
| cluster analysis | unsupervised data mining technique whereby statistical techniques are used to ID groups of entities with similar characteristics |
| 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 |
| regression analysis | linear estimator |
| neural networks | supervised data mining technique used to predict values and make classifications |
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