


Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
An overview of support systems in organizations, focusing on office automation systems and decision support systems. Office automation systems include word processing, desktop publishing, imaging, email, and audio & video conferencing. Decision support systems (dss) help managers make non-routine decisions by analyzing data in a heuristic fashion. Dss can be model-driven or data-driven, with model-driven systems using techniques like what-if analysis and goal seek analysis, and data-driven systems relying on online analytical processing and data mining.
Typology: Study notes
1 / 4
This page cannot be seen from the preview
Don't miss anything!



Support Systems
Seeing the benefits of MIS for middle level managers, Computerised systems have been devised for other employees in the organization to help them complete their work efficiently and effectively.
10.1 Support systems can be classified into two categories
Office automation systems Decision support systems
10.1.1 Office Automation Systems
Office automation system includes formal and informal electronic systems primarily concerned with the communication of information to and from persons both inside and outside the firm. It supports data workers in an organization.
For Instance Word processing Desktop publishing Imaging & Web publishing Electronic calendars – manager’s appt. calendars Email Audio & video conferencing – establishing communication between geographically dispersed persons.
10.1.2 Decision Support Systems
Before moving forward with the concept of decision support system, we would take a look at the definition of MIS
“An integrated man-machine system for providing information to support the operations, management and decision making functions in an organization.” ( Prof. Gordon Davis University of Minnesota)
Four Criteria for designing models and systems to support management decisions making were laid down by J.D.C. Little. These were
Decision Support Systems was defined by Bill Inmon, father of data warehouse, as
“a system used to support managerial decisions. Usually DSS involves the analysis of many units of data in a heuristic fashion. As a rule, DSS processing does not involve the update of data”
Heuristic simply means a particular technique of directing one’s attention in learning, discovery or problem solving. It assists in non-routine decision making process due to powerful analytical abilities.
For Instance
For any scenario all the related factors with their ranges of variability are entered into DSS, which helps guide managers for any new scenario that emerges. DSS can stimulate innovation in decision making by helping managers to existing decision making procedures.
An example of Decision Support System
An outfit store maintains ready made garments and stitched clothes for various classes of society. Due to fluctuating changes in fashion trends, pre-seasonal planning becomes critical.
10.2 Functionalities of MIS and DSS
Sr. No. MIS DSS 1 Provides information on monitoring and controlling the business.
Helps in non routine decision making.
2 Fixed and regular reports are generated from data kept in TPS.
Users are not linked with the structured information flows.
3 Report formats are predefined. Greater emphasis on models, display graphics & ad hoc queries.
4 User is part of the system DSS is a small part of users’ actions.
5 Controlled by IT Dept. Directly used by middle level managers
Table 10. 10.3 Types of DSS DSS, may either be
10.3.1 Model Driven DSS
Model driven DSS uses following techniques
What-If analysis Attempt to check the impact of a change in the assumptions (input data) on the
The term data warehouse generally refers to the combination of many different databases across an entire enterprise.
Data warehouses contain a wide variety of data that present a coherent picture of business conditions at a single point in time.
Data warehouses are generally batch updated at the end of the day, week or some period. Its contents are typically historical and static and may also contain numerous summaries.