Operational Systems are the internal and external core systems that support the day-to-day business operations. They are accessed through application program interfaces (APIs) and are the source of data for the data warehouse and operational data store. (Encompasses all operational systems including ERP, relational and legacy.)
Data Acquisition is the set of processes that capture, integrate, trans-form, cleanse, reengineer and load source data into the data warehouse and operational data store. Data reengineering is the process of investigating, standardizing and providing clean consolidated data.
The Data Warehouse is a subject-oriented, integrated, time-variant, non-volatile collection of data used to support the strategic decision-making process for the enterprise. It is the central point of data integration for business intelligence and is the source of data for the data marts, delivering a common view of enterprise data.
Primary Storage Management consists of the processes that manage data within and across the data warehouse and operational data store. It includes processes for backup and recovery, partitioning, summarization, aggregation, and archival and retrieval of data to and from alternative storage.
Alternative Storage is the set of devices used to cost-effectively store data warehouse and exploration warehouse data that is needed but not frequently accessed. These devices are less expensive than disks and still provide adequate performance when the data is needed.
Data Delivery is the set of processes that enable end users and their supporting IS group to build and manage views of the data warehouse within their data marts. It involves a three-step process consisting of filtering, formatting and delivering data from the data warehouse to the data marts.
The Data Mart is customized and/or summarized data derived from the data warehouse and tailored to support the specific analytical requirements of a business unit or function. It utilizes a common enterprise view of strategic data and provides business units more flexibility, control and responsibility. The data mart may or may not be on the same server or location as the data warehouse.
The Operational Data Store (ODS) is a subject-oriented, integrated, current, volatile collection of data used to support the tactical decision-making process for the enterprise. It is the central point of data integration for business management, delivering a common view of enterprise data.
Meta Data Management is the process for managing information needed to promote data legibility, use and administration. Contents are described in terms of data about data, activity and knowledge.
The Exploration Warehouse is a DSS architectural structure whose purpose is to provide a safe haven for exploratory and ad hoc processing. An exploration warehouse utilizes data compression to provide fast response times with the ability to access the entire database.
The Data Mining Warehouse is an environment created so analysts may test their hypotheses, assertions and assumptions developed in the exploration warehouse. Specialized data mining tools containing intelligent agents are used to perform these tasks.
Activities are the events captured by the enterprise legacy and/or ERP systems as well as external transactions such as Internet interactions.
Statistical Applications are set up to perform complex, difficult statistical analyses such as exception, means, average and pattern analyses. The data warehouse is the source of data for these analyses. These applications analyze massive amounts of detailed data and require a reasonably performing environment.
Analytic Applications are pre-designed, ready-to-install, decision sup-port applications. They generally require some customization to fit the specific requirements of the enterprise. The source of data is the data warehouse. Examples of these applications are risk analysis, database marketing (CRM) analyses, vertical industry "data marts in a box," etc.
External Data is any data outside the normal data collected through an enterprise's internal applications. There can be any number of sources of external data such as demographic, credit, competitor and financial information. Generally, external data is purchased by the enterprise from a vendor of such information.
Corporate Information Factory
By W. H. Inmon, Claudia Imhoff, and Ryan Sousa