Business intelligence systems
Information systems that process operational data to identify patterns, relationships, and trends for use by business professionals.
Process of creating business intelligence: reporting, data mining, and knowledge management.
Facility for managing an organization's BI data. Needs to: obtain data, cleanse data, organize and relate data, and catalog data.
BI application that inputs data from one or more sources and applies reporting operations to that data to produce business intelligence.
A technique readily implemented with basic reporting operations, is used to analyze and rank customers according to their purchasing patterns.
Online analytical processing
Reporting application with the ability to sum, count, average, and perform other simple arithmetic operations on groups of data.
Unsupervised data mining
When analysts do not create a model or hypothesis before running the analysis.
Unsupervised technique that identifies groups of entities that have similar characteristics.
Supervised data mining
Develop a model prior to the analysis and apply statistical techniques to data to estimate parameters of the model.
Popular supervised data mining application used to predict values and make classifications.
Process of creating value from intellectual capital and sharing the knowledge with employees.
Most important knowledge management content function. Easily accessible and robust means of determining whether the content they need exists, and a link to obtain that content. Ex. Google
Real Simple Syndication
Standard for subscribing to content sources. Like an email system fro content.
Systems that attempt to capture human expertise and put it into a format that can be used by nonexperts.
User requests for particular BI results on a particular schedule or in response to particular events.