#systemanalysisanddesign #syandes

1. SYANDES QUIZ 3
Somera Paolo S.

2. TRANSACTION PROCESSING
SYSTEM (TPS)
• A TRANSACTION PROCESSING SYSTEM (TPS)
is a system that captures, enters, stores,
retrieves, and processes the relevant details of
business events and generates the information
and documents necessary for running the
business.

3. WHERE IT IS BEING USED
• Capturing the data as close to the
source as possible
• Entering them into the system in a
manner as effectively and efficiently as
possible
• Storing them in the database
• Retrieving them from the database
for further
processing
• Transforming them from the raw
form to
information useful to the intended
user.

4. Examples of transaction
processing systems are the
systems used by banks and
credit card companies to
track customer's purchases
using these cards.
Transaction processing
systems are designed to
track and process individual
operations. Same goes for
POS systems

5. OFFICE AUTOMATION
SYSTEM
(OAS)
(OAS)• Office automation refers to the varied computer
machinery and software used to digitally create,
collect, store, manipulate, and relay office
information needed for accomplishing basic tasks.
Raw data storage, electronic transfer, and the
management of electronic business information
comprise the basic activities of an office
automation system

6. WHERE IS IT BEING USED
• electronic publishing
• electronic communication
• electronic collaboration
• image processing
• office management

7. EXAMPLES
• microsoft word
• email & voicemail
• microsoft outlook

8. KNOWLEDGE WORK SYSTEM
(KWS)
• The Knowledge Worker System (KWS) is a computer application
designed to help “knowledge workers” (professionals who use
information as their primary input and whose major products are
distillations of that information) to capture and organize work activity
information, and to learn, prioritize, and execute their tasks more
efficiently and effec- tively. KWS integrates methods and technologies
from the disciplines of information management, workflow, work
scheduling, software agent, and work measurement into a “Performance
Support Environment.” KWS enhances productivity by delivering task-
specific information as needed, and by associating all automated tools,
software agents, and multimedia document references needed to
complete a specific task.

9. WHERE IT IS BEING USED

10. EXAMPLES
• CAD/CAM systems: Computer-aided design (CAD) and Computer-aided
manufacturing (CAM) systems automate the creation and revision of
designs, using computers and sophisticated graphics software. They provide
engineers, designers, and factory managers with precise manufacturing
control over industrial design and manufacturing
• Virtual reality systems: These use interactive graphics software to aid
drug designers, architects, engineers, and medical workers by presenting
precise, three-dimensional simulations of objects.
• Investment workstations: These are high-end PCs used in the
financial sector to analyze trading situations instantaneously and facilitate
portfolio management.

11. DECISION SUPPORT SYSTEM
(DSS)
Decision Support Systems (DSS) are a specific class of
computerized information system that supports business and
organizational decision-making activities. A properly designed
Decision Support System is an interactive software-based system
intended to help decision makers compile useful information from
raw data, documents, personal knowledge, and/or business models
to identify and solve problems and make decisions.

12. WHERE IT IS BEING USED
Typical information that a decision support application might gather and
present would be:
• Accessing all of your current information assets, including legacy
and relational data sources, cubes, data warehouses, and data marts
• Comparative sales figures between one week and the next
• Projected revenue figures based on new product sales assumptions
• The consequences of different decision alternatives, given past
experience in a context that is described

13. EXAMPLES
The DSSAT4 package, developed through financial support of USAID during the 80s and 90s,
has allowed rapid assessment of several agricultural production systems around the world to
facilitate decision-making at the farm and policy levels. There are, however, many constraints
to the successful adoption on DSS in agriculture.
DSS are also prevalent in forest management where the long planning time frame demands
specific requirements. All aspects of Forest management, from log transportation, harvest
scheduling to sustainability and ecosystem protection have been addressed by modern
DSSs.
A specific example concerns the Canadian National Railway system, which tests its
equipment on a regular basis using a decision support system. A problem faced by any
railroad is worn-out or defective rails, which can result in hundreds of derailments per year.
Under a DSS, CN managed to decrease the incidence of derailments at the same time other
companies were experiencing an increase.

14. EXECUTIVE SUPPORT SYSTEM
(ESS)
An Executive Support System (ESS) is software that allows users to transform
enterprise data into quickly accessible and executive-level reports, such as those
used by billing, accounting and staffing departments. An ESS enhances decision
making for executives.
ESS is also known as Executive Information System (EIS).

15. WHERE IS IT BEING USED

16. EXAMPLES
• External databases
• Technology reports like patent records etc.
• Technical reports from consultants
• Market reports
• Confidential information about competitors
• Speculative information like market conditions
• Government policies
• Financial reports and information

17. GROUP DECISION SUPPORT
SYSTEM
A Group Decision Support System (GDSS) is an interactive,
computer-based system that helps a team of decision-makers
solve problems and make choices. GDSS are targeted to
supporting groups in analyzing problem situations and in
performing group decision-making tasks (cf., DeSanctis and
Gallupe, 1987; Huber, 1984). The name is very descriptive. A
GDSS is a hybrid system that uses an elaborate communications
infrastructure and heuristic and quantitative models to support
decision-making.

18. WHERE IT IS BEING USED

19. EXAMPLES