COMM 226 Lecture Notes - Lecture 8: Data Warehouse, Data Mart, Online Transaction Processing
5 Dec 2018
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Document Summary
Allow multiple parties to participate in decision making and improve outcomes by reducing often inherent biases. Anonymous input is automatically summed or communicated to the group and contributes to a decision. Process data by sorting, grouping, summing, averaging, and comparing. Improve decision making by providing right information to right user at right time. Process data using sophisticated statistical techniques: regression analysis, decision tree analysis. Look for patterns and relationships to anticipate events or predict future outcomes: market-basket analysis, predict donations. Supported by the five components of the information system. Encapsulate the knowledge of human experts in the form of if/then rules. Way of analyzing and ranking customers according to their purchasing patterns. Data warehouse is used to extract and clean data from operational systems and other sources. Store and catalogue data for processing by bi tools. Statistical techniques applied to data to estimate parameters of the model.
