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Information Management's Glossary

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z


E-business
E-business is simply doing business electronically which in most cases, means doing business on the Internet. The two main types of e-business are business-to-consumer (B2C) and business-to-business (B2B). A third, and less talked about, type of e-business is consumer-to-consumer (C2C).


E-commerce
E-commerce deals with using the Internet, digital communications and IT applications to enable the buying or selling process.


E-manifest
E-manifest allows carriers, brokers, or freight forwarders to comply with new regulations stemming from the Automated Commercial Environment (ACE) program.


E-tailer
A direct-to-consumer business practicing e-commerce. An e-tailer is a business that, if it weren't for the Internet, would have transactions with consumers in a brick-and-mortar retail stores.


Economic value added (EVA)
This is a "value-based" metric that is becoming popular with many companies. EVA is an integrated framework for performance measurement, value-based planning and incentive compensation developed by Stern Steward founders Joel Stern and G. Bennett Steward III. EVA is calculated by taking operation profits and deducting a charge for the cost of capital. Companies that have adopted EVA have frequently realized long-lasting improvements in operating efficiency, growth, morale, motivation and stock market value.*


EIS
executive information system


Electronic data interchange (EDI)
EDI is the computer-to-computer exchange of normal business transactions including payments, information exchange and purchase order requests. The most basic EDI line consists of a computer-to-computer link. The second level incorporates an application-to-application design where individual companies links a minimum of one of their in-house systems to the EDI interface. The most elaborate version of EDI actually transforms the way business procedures are executed to gain optimal productivity. These involve trend-institutions that evolve into a centralized EDI-based functions.


End-user data
Data formatted for end-user query processing; data created by end users; data provided by a data warehouse.


End-user mind-set
"Give me what I say I want, then I can tell you what I really want." To build a successful data warehouse, end users must be able to explore the possibilities.


End-user tool
Data delivery or ad hoc query interface that allows knowledge workers to access information in a data warehouse.


Enterprise
A complete business consisting of functions, divisions or other components used to accomplish specific objectives and defined goals.


Enterprise application integration (EAI)
EAI allows data sharing between unrelated systems in the organization, provides a single point of interface to which all applications and databases connect, resolves differences between systems, triggers processes and delivers data in the proper format to the proper destination.


Enterprise architecture
Enterprise architecture is a comprehensive framework used to manage and align an organization's business processes, information technology (IT) software and hardware, local and wide area networks, people, operations and projects with the organization's overall strategy.


Enterprise data
Data that is defined for use across a corporate environment.


Enterprise data fabric (EDF)
Enterprise data fabric (EDF) is a data layer that separates data sources from applications, providing the means to solve the gridlock prevalent in distributed environments such as grid computing, service-oriented architecture (SOA) and event-driven architecture (EDA).


Enterprise data warehouse
An enterprise data warehouse is a centralized warehouse that services the entire enterprise.


Enterprise information integration (EII)
A collection of technologies and best practices for providing custom views into multiple data sources as a way of integrating data and content for real-time read and write access by applications.


Enterprise information management (EIM)
The processes, technologies and tools needed to turn data into information, information into knowledge and knowledge into plans that drive profitable business action.


Enterprise JavaBeans (EJB)
Enterprise JavaBeans are server component architectures that conform to the Sun EJB component model. The EJB may be used to create a business object and related content may be sent using Java server pages (JSPs).


Enterprise modeling
The development of a common consistent view and understanding of data elements and their relationships across the enterprise.


Enterprise performance management
Performance management is an enterprise-wide program that provides a structured approach for deploying a company's strategy in a consistent and continuous manner. It gives an organization the capability to effectively communicate strategy and ensure that business processes are aligned to support the deployment of that strategy.


Enterprise portal
The enterprise portal offers a Web-like solution to the problem of distributing business information, consolidating business intelligence objects (reports, documents, spreadsheets, data cubes, etc.) generated anywhere in the enterprise by any application and making them easily accessible, subject to security authorization, to non- technical users via standard browser technology.


Enterprise resource planning (ERP)
ERP systems are comprised of software programs which tie together all of an enterprise's various functions -- such as finance, manufacturing, sales and human resources. This software also provides for the analysis of the data from these areas to plan production, forecast sales and analyze quality. Today many organizations are realizing that to maximize the value of the information stored in their ERP systems, it is necessary to extend the ERP architectures to include more advanced reporting, analytical and decision support capabilities. This is best accomplished through the application of data warehousing tools and techniques.


Enterprise risk management (ERM)
The process of planning, organizing, leading and controlling the activities of an organization in order to minimize the effects of risk on its capital and earnings. ERM includes not only risks associated with accidental losses, but also financial, strategic, operational and other risks.*


Enterprise storage
A shared central repository for information, connected to disparate computer systems, which provides common management, protection and information sharing capabilities.


Enterprise structure data
Enterprise structure data represents the structure of the enterprise, particularly for reporting business activity by responsibility.


Entity identification
The identification of the entities involved in the subject area. Entity identification is the process of giving data entities unique data elements by which they can be identified.


Entity relationship diagramming
A process that visually identifies the relationships between data elements.


Environment
In the computer technology context, it refers to the conditions surrounding data, such as databases, data formats, servers, network and any other components that impact the data.*


ERP
enterprise resource planning


Ethernet
A local area network protocol developed by Xerox Corporation in cooperation with DEC and Intel in 1976. Ethernet uses a bus topology and supports transfer rates of 10 Mbps. The Ethernet specification served as the basis for the IEEE 802.3 standard, which specifies the physical and lower software layers. Ethernet uses the CSMA/CD access method to handle simultaneous demands. It is one of the most widely implemented LAN standards.


ETL
Extract, transform and load (ETL) software does just that—it extracts records/fields from one data source, converts the data to new formats and provides the ability to load the data to other target destinations, in other words data handling and processing that precedes final storage in the repository.


Event analysis
A process of analyzing notifications and taking action based on the notification content.


Event data
Data about business events (usually business transactions) that have historic significance or are needed for analysis by other systems. Event data may exist as atomic event data and aggregate data.


Event-based execution rules
The process of identifying those tasks that must be successfully executed to completion, or the system events that must occur, before a given task is to be triggered for processing.


Event-driven architecture
Event-driven architecture (EDA) is an architectural style for distributed applications, in which certain discrete functions are packaged into modular, encapsulated, shareable components, some of which are triggered by the arrival of one or more event objects.


Exception information
Entries for data pages that are logically in error (logical page list or LPL entries) or physically in error (write error page range or WEPR entries) are registered in the DBET log record. The exception information record indicates the nature of the exception and provides other information that might be useful to your handler. An exception information record is defined by the ExceptionInformation data type.


Executive information systems (EIS)
Tools programmed to provide canned reports or briefing books to top-level executives. They offer strong reporting and drill-down capabilities. Today these tools allow ad hoc querying against a multi-dimensional database, and most offer analytical applications along functional lines such as sales or financial analysis.

Extended intelligent enterprise (XIE)architecture
Foundational architecture composed of three core components—a zero-latency operational data store (ODS), an enterprise portal as an access mechanism and extensive integration capabilities.


Extendibility
The ability to easily add new functionality to existing services without major software rewrites or without redefining the basic architecture.


Extensible stylesheet language (XSL)
Extensible stylesheet language describes how data is presented. XSL may also be used to transform XML data into HTML/CSS documents on the Web servers.


Extract date
The date data was extracted.


Extract frequency
The latency of data extracts, such as daily versus weekly, monthly, quarterly, etc. The frequency that data extracts are needed in the data warehouse is determined by the shortest frequency requested through an order, or by the frequency required to maintain consistency of the other associated data types in the source data warehouse.


Extract specification
The standard expectations of a particular source data warehouse for data extracts from the operational database system-of-record. A system-of-record uses an extract specification to retrieve a snapshot of shared data, and formats the data in the way specified for updating the data in the source data warehouse. An extract specification also contains extract frequency rules for use by the Data Access environment.


Extranet
An internal network or intranet opened to selected business partners. Suppliers, distributors and other authorized users can connect to a company's network over the Internet or through private networks.