ISYS2056 Lecture Notes - Lecture 3: Business Analytics, Business Intelligence, Data Mining
Document Summary
Information that results from the processing of operational data. To create information that exposes patterns, relationships and trends of importance to an organisation. Use of data, information technology, statistical techniques and quantitative models. To help managers build their understanding of business operations. Supporting them to take improved, informed decisions. Term used to refer to application of various technologies. To enable analytical processing, data mining, performance management and reporting. The application of business analytics to operational data generates business intelligence. Use of data to understand past and current business performance. Analysis of past performance in effort to predict the future. Detecting patterns or relationships in these data. Output of the model can be optimised. Measurement, collection, analysis and reporting of data. For purposes of understanding and optimising learning and the environment in which it occurs. Social network analysis (sna) provides visual and mathematical analysis of human relationships. Discourse analytics to capture meaningful data on student interactions.
