Information System (IS)

Executive Information System (EIS)
An Executive Information System (EIS) is a type of management information system intended to facilitate and support the information and decision making needs of senior executives by providing easy access to both internal and external information relevant to meeting the strategic goals of the organization. It is commonly considered as a specialized form of a Decision Support System (DSS).

The emphasis of EIS is on graphical displays and easy-to-use user interfaces. They offer strong reporting and drill-down capabilities. In general, EIS are enterprise-wide DSS that help top-level executives analyze, compare, and highlight trends in important variables so that they can monitor performance and identify opportunities and problems. EIS and data warehousing technologies are converging in the marketplace.

Management Information Systems (MIS)
Management Information Systems (MIS) is a general name for the academic discipline covering the application of people, technologies, and procedures — collectively called information systems — to solve business problems. MIS are distinct from regular information systems in that they are used to analyze other information systems applied in operational activities in the organization.[1] Academically, the term is commonly used to refer to the group of information management methods tied to the automation or support of human decision making, e.g. Decision Support Systems, Expert systems, and Executive information systems.[1]

Decision support systems (DSS)
Decision support systems are a class of computer-based information systems including knowledge based systems that support decision making activities.

Because there is no exact definition of DSS, there is obviously no agreement on the standard characteristics and capabilities of DSS. Turban, E.,Aronson, J.E., and Liang, T.P. [23] constitute an ideal set of characteristics and capabilities of DSS. The key DSS characteristics and capabilities are as follows:
* Support for decision makers in semistructured and unstructured problems.
* Support managers at all levels.
* Support individuals and groups.
* Support for interdependent or sequential decisions.
* Support intelligence, design, choice, and implementation.
* Support variety of decision processes and styles.
* DSS should be adaptable and flexible.
* DSS should be interactive and provide ease of use.
* Effectiveness balanced with efficiency (benefit must exceed cost).
* Complete control by decision-makers.
* Ease of development by (modification to suit needs and changing environment) end users.
* Support modeling and analysis.
* Data access.
* Standalone, integration and Web-based.