mis decision support system (comsats)

8/2/2019 MIS Decision Support System (COMSATS)

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MANAGEMENT INFORMATION SYSTEMS (891)

PREPARED BY: SALMAN AHMAD KHANROLL NO: W-588058

MANAGEMENT

INFORMATIONSYSTEMS (890)SS

PREPARED BY:

SALMANAHMAD KHANROLL NO: W588058

PRESENTED TO RESPECTABLE TUTOR

MR. TASSWAR HUSSAIN

MBA

Semester III (spring,2011)

2ndASSIGNMENT


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AcknowledgementIn the name of Allah, the most merciful & beneficent

I would like to thank Almighty Allah who made me able to complete this

assignment by utilizing my skill, behavior & knowledge. I am also thankful for

giving me spirit of patience, consistency & courage during my visit of the

organization.

I am also grateful to the Allama Iqbal Open University (AIOU) of Islamabad,

which provided me a chance to explore my skills, qualities, abilities & potentialsthrough the practical assignment. I am also thankful to my teachers for giving

me chance to show the best of my abilities during the period for preparation of

assignment.

At COMSATS Institute of Information Technology (CIIT), Islamabad Campus, I

would like to be grateful to Mr. Ahmed Mumtaz, GM (IT) who provided me full

opportunity in provision of first hand comprehensive information during my visit.

I am also obliged to different persons like Mr. Abdul Rehman Yasir (Web

designer/System Administrator) who provided continually information I needed

during the course of my completion of assignment. I am responsible for errors

and mistakes presented in this report and a positive and constructive criticism

will always be greeted warmth.

Thanks to all of them who helped me in completing this project.

SALMAN AHMAD KHAN



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Abstract

A Decision Support System (DSS) is a collection of integrated software

applications and hardware that form the backbone of an organizations decision

making process. Companies across all industries rely on decision support tools,

techniques, and models to help them assess and resolve everyday business

questions. The decision support system is data-driven, as the entire process

feeds off of the collection and availability of data to analyze. Business

Intelligence (BI) reporting tools, processes, and methodologies are key

components to any decision support system and provide end users with rich

reporting, monitoring, and data analysis.

In this report I have choose the CIIT help desk as decision support system. Help

Desk is an information and assistance resource designed for the CIIT Faculty and

Staff. The purpose of Help Desk is to provide a single point of contact for the

employees of CIIT. Help Desk enables employees to submit a query, request for

service, and register complaint or feedback.

Each user is issued a ticket number bearing a unique request-ID which can be

used to monitor and track the status and progress of the action taken by the

concerned service provider. I have also collected the sample data and reports

from CIIT help desk staff and applied the analysis model on them.



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Table of Contents

S. No. DISCRIPTION PageNo.

1. Introduction to Decision Support System 05

2. Example of Decision Support System 08

3. Component of Decision Support System 09

4. Important Aspects of Decision SupportSystem

10

5. Decision making characteristics in theGlobal Business Environment

11

6. Managers and Decision Support System 12

7. Capabilities offered by DSS 13

8. High-level Decision Support System

Requirements

14

10. Practical Study on COMSATS 15

11. Use of DSS in COMSATS as Help DeskPortal System

21

12. Data Collection Methods 30

13. Merits/Strength 31

14. Demerits/Deficiencies 32

15. Conclusions & Recommendations 33

16. References 34



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Information System

An information system is a collection of hardware, software, data, peopleand procedures that are designed to generate information that

supports the day-to- day, short-range, and long-range activities of

users in an organization. Information systems generally are classified

into five categories: office information systems, transaction processing

systems, management information systems, decision support systems,

and expert systems. Information system can be classified as;

Transactional Processing System (TPS)

Management Information System (MIS)

Decision Support System (DSS)

Expert System (ES)

Here in this assignment the given topic to me is Decision Support System, thats

way I explain only DSS.

Decision Support System (DSS)

A decision support system (DSS) is a computer program application that

analyzes business data and presents it so that users can make business

decisions more easily. It is an "informational application" (to distinguish it from

an "operational application" that collects the data in the course of normal

business operation). Typical information that a decision support application

might gather and present would be:

Comparative sales figures between one week and the next

Projected revenue figures based on new product sales assumptions

http://searchdatamanagement.techtarget.com/definition/datahttp://searchdatamanagement.techtarget.com/definition/data


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The consequences of different decision alternatives, given past

experience in a context that is described

A decision support system may present information graphically and may include

an expert system or artificial intelligence (AI). It may be aimed at business

executives or some other group ofknowledge workers.

Companies across all industries rely on decision support tools, techniques, and

models to help them assess and resolve everyday business questions. The

decision support system is data-driven, as the entire process feeds off of the

collection and availability of data to analyze.

Business Intelligence (BI) reporting tools, processes, and methodologies are key

components to any decision support system and provide end users with rich

reporting, monitoring, and data analysis.

DSS provide sophisticated analytical models and data analysis tools to support

semi structured and unstructured decision-making activities. DSS use data from

TPS, MIS, and external sources, provide more analytical power than other

systems, combine data, and are interactive. ESS support senior managers with

unstructured strategic-level decision making. They may be less analytical than

DSS with less use of models such as linear programming or forecasting.

However, they often rely on external data and rely heavily on graphics.

A decision support system uses data from internal and/or external sources.

Internal Sources of Data for DSS:

Internal sources of data include sales, manufacturing, inventory or financial data

from an organizations database.

External sources of Data for DSS:

External sources of data include interest rates, population trends and cost of new

housing construction or raw material pricing.

http://searchcio.techtarget.com/definition/AIhttp://searchcrm.techtarget.com/definition/knowledge-workerhttp://searchcio.techtarget.com/definition/AIhttp://searchcrm.techtarget.com/definition/knowledge-worker


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Some decision support systems include query language, statistical

analysis capabilities, spreadsheets, and graphics that help you extract data

and evaluate the results. Some decision support systems also include

capabilities that allow you to create a model of the factors affecting a

decision. A simple model for determining the best product price, for

example, would include factors for the expected sales volume at each price

level. With the model, you can ask what-if questions by changing one or

more of the factors and viewing the projected results. Many people use

application software packages to perform DSS functions. Using spreadsheet

software, for example, you can complete simple modeling tasks or what-if

scenarios.

A special type of DSS, called an executive information system (EIS),

is designed to support the information needs of executive

management. Information in an EIS is presented in charts and tables that

show trends, ratios, and other managerial statistics. Because executives

usually focus on strategic issues, EISs rely on external data sources such as

the Dow Jones News/Retrieval service or the Internet. These external data

sources can provide current information on interest rates, commodity prices,

and other leading economic indicators.

To store all the necessary decision-making data, DSSs or EISs often use

extremely large databases, called data warehouses. A data

warehouse stores and manages the data required to analyze historical and

current business circumstances.



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Example of Decision Support System

Sales managers typically rely on management information systems to

produce sales analysis report. These reports contain sales performance figures

by product line, salesperson, sales region, and so on. A decision support system

(DSS), however, would also interactively show a sales manager the efforts on

sales performance of changes in a variety of factors (e.g., promotion expense

and sales person compensation). The DSS could then use several criteria (e.g.,

expected gross margin and market share) to evaluate and rank alternative

combinations of sales performance factors.

Following are some examples of DSS-Related software, which are being

use by many organizations around the world, they are:

Lotus (groupware, knowledge management software)

Outlook Soft (enterprise performance management software)

Partek(analysis, inference, modeling)

Pilot Software (decision support analysis software)

Rocket Software (business intelligence)

SAP (enterprise software)

SAS (tools for analysis, reporting, presentation, visualization)

Hummingbird (BI & knowledge management software)

http://www.lotus.com/http://www.outlooksoft.com/http://www.partek.com/html/products/products.htmlhttp://www.pilotsoftware.com/http://www.gentia.com/http://www.sap.com/index.aspxhttp://www.sas.com/http://www.hummingbird.com/products/dkm/index.htmlhttp://www.lotus.com/http://www.outlooksoft.com/http://www.partek.com/html/products/products.htmlhttp://www.pilotsoftware.com/http://www.gentia.com/http://www.sap.com/index.aspxhttp://www.sas.com/http://www.hummingbird.com/products/dkm/index.html


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Component of Decision Support System

Traditionally, academics and practitioners have discussed building a

decision support system (DSS) in terms of four major components:

The user interface

The database

The models and analytical tools, and

The DSS architecture and network

A component is a distinguishable part of a larger entity.

Component may be implemented with different technologies and each

component has a different function or purpose unless redundancy

exists in the system.

Focusing on technical components can assist in application design

and can assist in implementing services to provide all or part of the

functionality of a component. A component may be implemented as an

independent software package or it may be implemented as a module

in a DSS generator or development environment. Identifying needed

software components for categories of DSS can enhance reusability and

reduce the cost and complexity of building systems.

Overall, the traditional list of major technical components remains

useful because it helps identify similarities and differences between

categories or types of DSS. Also, understanding the technical systemcomponents can help managers and information systems analysts build

innovative DSS. From a broad system perspective, the DSS user is the

key component determining the effectiveness of the DSS. DSS

designers need to recognize the important role of the targeted user



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and involve them in customizing components for a specific DSS

purpose.



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Important aspects of Decision SupportSystem

1. The most important consideration is the Decision Support System's ease of

use - its ability to allow non -technical people to deal with it directly. The

single greatest and most enduring problem with computers has been their

inflexibility, their inability to let the person who actually needs the data to

deal directly with the computer.

2. The ability to access information should not be restricted to only the part

of an organization or to only certain managerial or professional groups.

Instead the resource should be distributed to all of the people and part of

an organization needing it without widespread access; the power of

advanced Distributed Processing System will go untapped as they typically

have in the past.

3. The ideal Decision Support System in sharp contrast to previous method of

designing applications should not be a 'system' at all in the strict sense of

the term. Rather, it should be a highly adaptive decision support generator

that can easily be used by professionals to quickly design data support

prototypes suited to each specific decision-making task. This adaptive tool

must allow quick design changes if the original design does not closely

match a person's information gathering style or needs.

4. To adequately support the human element, this highly adaptive support

capability must be able to provide access to operational data and as well

as to summary data that already has been processed by application

programs designed for other specific operational tasks. Equally important

this tool must provide the professional with access to an organization's raw

data and it must allow the access to be accomplished in one step using a

single uncomplicated procedure or command and without having to re-key

non summary data.



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5. The organizations need to access original data sometimes because

efficiency is related to how well the original data is organized in the

system; the Decision Support Generator should be able to interface with a

true DBMS. It should also be able to access standard 'flat' files indirectly

using the power of the host computer to facilitate both the user interfaceand data access without changing existing files.

6. The Decision Support Generator should let the user decide whether

information should be displayed on the CRT screen for immediate use or

whether it should be printed for later use. The best way to accomplish

such flexible data presentation is through a work station. The management

or professional information workstation would incorporate a keyboard,

display screen and an interface to a printer which could print everythingfrom straight text to graphics like pie charts, bar charts and line charts.

Decision making characteristics in theGlobal Business Environment

Business Strategy/Decision Making Characteristics

Multinational: (decentralized federation)

Decision making decentralized to subsidiaries, informal relationships between

head quarters and subsidiaries.

International: (coordinated federation)

More vital decision and knowledge in general developed at head quarters and

transferred to subsidiaries.

Global: (centralized federation)

Decisions made at the center knowledge developed and retained at the center

Transnational: (integrated network) Decision making and knowledge generation

distributed among units.



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Managers and Decision Support System

The daily work of a manager, as hundreds of brief activities of great variety,

requiring rapid shifts of attention from one issue to another, very often initiated by

emerging problems. A manager maintains a complex web of contacts outside and

inside of the organization. A successful manager is not swamped by onslaught of

these activities: he or she maintains a personal agenda. Effective manager carve

out as it were, their own informal structure within the corporate structure and they

use this network to keep themselves informed and influence others.

The need for types of information produced by decision support

system has always been present. Decision support systems have become

popular primarily because of their capability to fill this need. Nowadays

availability of the computer hardware, the advent of the Database

Management System in the 1970's provided means for storage and

management of large amount of data, large increase in number of

software packages incorporating the functions of a decision support

system.

DSS in the organizational environment:

Organizations that have been the most successful in the implementing DSS

have much in common. They have well established, well controlled and well

structured data processing system which provides transaction processing data

necessary for DSS. Such organizations have spent extra money and personnel

necessary to maintain a research and development focus. All the departments in

the organization have communicated with central groups of computer. The entire

departments have sufficient confidence to initiate and manage systems projects.

The central computer groups have several people on its staff that either came



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from all other departments'. Education and training programs are used by the

organizations to build mutual understanding between departments and the

computer group.

Capabilities offered by DSS:

1. Support decision making in ill-structured situations- in which ,precisely

owing to the lack of structure, problem do not lend themselves to full

computerization, and yet require computer assistance for access to and

processing of voluminous amount of data.

2. Help to rapidly obtain quantities results needed to reach the decision.

Operate the ad hoc mode to suit the current needs of the user, as opposed

to operating in a generally scheduled fashion as management reporting

system do.

3. Support various stages of the decision making process.

4. Foster high-quality decision making by encouraging decisions based on the

integration of available information and human judgment.

5. Offer flexibility as opposed to a preordained pattern of use - making it easy

to accommodate the particular decision making style of an individuals.

6. Facilitate the implementation of the decisions which frequently cut across

department boundaries.

7. Support group decision making particularly through group DSS (GDSS).

8. Give managers the opportunity to gain a better understanding for their

business by developing and working with models.



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High-level Decision Support System

Requirements

Data collection from multiple sources (sales data, inventory data, supplier

data, market research data. etc.)

Data formatting and collation

A suitable database location and format built for decision support -based

reporting and analysis

Robust tools and applications to report, monitor, and analyze the data

Decision support systems have become critical and ubiquitous across all

types of business. In todays global marketplace, it is imperative that

companies respond quickly to market changes. Companies withcomprehensive decision support systems have a significant competitive

advantage.



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PRACTICAL STUDY

C O M S A T SInstitute of Information Technology

Park Road Chak Shahzad, Islamabad



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Introduction to the Organization:

The COMSATS Institute of Information Technology (CIIT) started its journey in

1998, and established its first campus at Islamabad. In August, 2000 in

recognition of CIITs achievements, the

Federal Government granted it the

status of a Degree Awarding Institute

(DAI) thorough promulgation of its

charter.

The CIIT is slated for up gradation as a university by the name ofComsats

University through an Act of the Parliament.

The COMSATS Institute of Information Technology (CIIT), which received its

Charter from the Federal Government in August 2000, as a Degree Awarding

Institute (DAI) in the public sector.

Pursuant to the Federal Government

of Pakistans decision, it is slated to be

upgraded to the status of a university,

more precisely COMSATS University

(CU). Being federally established

institute, the CIIT currently has six campuses in Islamabad, Lahore, Wah,

Abbottabad, Attock, and Sahiwal, while one more campus is coming up at

Gujrat. The future plans also

envisage opening of more

campuses in the provinces of

Sindh and Balochistan, as well

as overseas. Currently the CIIT is

offering 25 different degree

programs in the fields of

Information and Communication Technology, Management Sciences, Electrical



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Engineering, Chemical Engineering, Mathematics, Physics, Bio-sciences,

Development Studies, Environmental Science, Meteorology, and Architecture

and Design.

The present student strength is around 9,000 with faculty strength of also nearly

900. The Institute in the short time has already produced high quality graduates

numbering more than 3,200,

who are serving the nation

in the various callings.

Recently, the Higher

Education Commission (HEC)

of Pakistan has ranked theCIIT at number 7 in terms of

research productivity and at

number 8 among the Engineering institutions of higher education in the country

during 2006.

Vision

The CIIT is dedicated to the search for truth through

advancement of learning and extending the frontiers of

knowledge; to the sharing of this knowledge through education in

academically diverse disciplines; and to the application of this

knowledge to benefit the people of Pakistan, in particular, and the

Muslim Ummah and the world, in general.

MissionThe Institutes mission is threefold, i.e. Research and Discovery, Teaching

and Learning, and Outreach and Public Service.

The CIIT at present comprises of five Faculties and 16 Departments.

Presently, 23 under graduate degree programs and 32 graduate programs are



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on offer in which more than 18,000 students are enrolled. There are more than

1,745 faculty members working in CIIT. More than320 faculty members and

academic managers holding PhD qualification are currently serving the CIIT. The

remaining has MS/M.Phill in relevant fields. CIIT has proudly produced more than

12,000 graduates since its inception in 2000. So far, 33 convocations have been

organized in its campuses. More than 420 faculty members are undergoing

advanced education leading to MS and PhD degrees and post doctoral research

in USA, UK, China, France, etc. The funding for advanced education has come

from CIIT Scholarships, HEC Scholarships and Ministry of Science and Technology

Scholarships.

During the Ten years since its inception, independent entities have

evaluated CIIT and the quality of programs it offers, such as the Higher

Education Commission (HEC), Pakistan Engineering Council (PEC) and the

Institute of Scientific Information (ISI) Web of Knowledge. Undergraduate

engineering degree programs of the CIIT have been accredited by the Pakistan

Engineering Council (PEC), the accrediting body for engineering education in the

country. The Higher Education Commission (HEC) in an exercise for the ranking

of institutions of higher education in Pakistan has ranked CIIT at number 8

among the engineering institutions of higher education during 2006. In terms of

research citations, the research produced at CIIT has been ranked at number two

as notified by HEC in 2008.

In terms of research output, CIIT has been consistently ranked at number

seven among all the institutions of higher education numbering more than 134 in

the country since 2006 until 2009, as notified by HEC, based on Research output

in peer-reviewed journals indexed by Thomson-Reuters, the Institute of Scientific

Information (ISI), Web of Knowledge, and USA CIIT. It further improved its

position and rose to number six during 2010.

To reward the most productive faculty members, the CIIT management has

instituted Cash Awards in 2005 for publication of research Articles by CIIT



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employees, in national & international journals, while COMSATS Institute Medals

for Innovation (CIMI) medals were instituted in 2006. These awards include cash

plus appreciation of their work. Under Cash Awards series, the total number of

research articles published by faculty members in international and local journals

is close to1000.

Since its inception, the CIIT has been focusing its efforts in establishing

professional linkages with prestigious international universities and research &

development institutions. Pursuant to such efforts, CIIT has already signed

almost four dozen Memoranda of Understandings (MoUs) with reputed

institutions throughout the globe. The hallmark of these linkages has been the

signing of a Memorandum of Agreement (MoA) with University of Illinois, Urbana-

Champaign (UIUC), and USA & with Lancaster University, UK to launch a Dual

Degree program for its students.



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Help Desk Portal System

Help Desk Portal System is use in Comsats Institute of Information

Technology (CIIT) as a Decision Support System. This system is an information

and assistance resource, designed for the CIIT Faculty and Staff. The purpose of

Help Desk is to provide a single point of contact for the employees of CIIT. Help

Desk enables employees to submit a query, request for service, and register

complaint or feedback.

Each user is issued a ticket numberbearing a unique request-ID which can be

used to monitor and track the status and progress of the action taken by the

concerned service provider.

The reporting interface has also been provided to the Head Service Section to

monitor the performance of Individuals. The individuals with greater numbers of

queries resolved are eligible for the performance bonus.

Screenshot of CIIT Help Desk Portal System



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HelpDesk ModulesFollowing are the modules of the HelpDesk system:

1.Faculty/ Staff Module.2. Service Section Head Module3. Advisor Service Module4. Administrative Module

21

1.Faculty/ Staff ModuleFollowing are the options available to the faculty / staff members in helpdesksystem.

Create Tickets

Your Tickets

Tickets for your team Statistics

Services expected from you.

Download Forms

Feedback

Create Tickets

1. Using this option the faculty / staff members can create a ticket tothe other service section for their issues / requests.2. The user provides its location, subject and the ticket details.

3. When the user submit the ticket the system note down the dateand time on which it is initiated.4. After submitting the ticket is sent to the concerned service section5. Create ticket is just like a sending an email to the other user.

Your Tickets

1. When a user sends a ticket to the other service section, then itcomes to the Your Tickets Section2. Your ticket shows the complete status of the ticket sent and whichusers have taken action against it.

3. Your Tickets is just like the sent-mail with the difference that itshows the complete history of the ticket.There are four status of the tickets submitted.

Open

In Progress

Pending

Resolved



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When the user submits the ticket, the default status of the ticket is open. If

the ticket status is open then it means that no action has been taken yet. If

the ticket status is In Progress then it means that work is in progress. The

ticket status Pending means that it is waiting for other resources. The ticket

status Resolved means that the work has been carried out and the ticket is

closed.

Tickets for your team

1. Tickets for your team mean the tickets that need your attention.2. These are the ticket on which the action has to be carried out byrespective faculty / staff members.3. A service has been assigned to a team of two or more faculty / staffmember.4. Each user receives tickets related to the services assigned to him /her.5. It is just like Inbox on which the action has to be carried out bythe receiving user.6. When an action is taken by the user the system note down thetime, date and the user who performed action against it.7. The user after taking action can change the status of the ticket toPending, In Progress, and Resolved.

Statistics

1. This section shows the number of the tickets which are Open,

Resolved, In Progress and Resolved.2. This statistics section in faculty / staff modules shows the numberof tickets related to that user only.3. This section also shows the graphical representation of the reportsuser wise or department wise.

Services expected from you

This section shows the list of services that is assigned to the particular user.

Download Forms

In this section the users can download forms that are required in dailyroutines like security forms, accounts forms etc.

Feedback

In this section the user provides its valuable feedback to improve the systemfunctionality



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Screenshot of the Faculty / staff members

2.Service Section Head ModuleFollowing are the options available to service sections heads in helpdesk system.

1. Create Tickets2. Your Tickets3. Tickets for your team4. Statistics5. Services expected from you.6. Download Forms7. Feedback

All the modules are same as in above module. The difference is in the type of

reports that the service section head can view. He can monitor the overall

performance of the section staff working under him and can see in which

building there are more complains so that he can assign more staff to that

building.



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Screenshot of the Head of Concerned Service Section

3.Advisor Services ModuleFollowing are the options available to advisor service in helpdesk system.

1. Create Tickets2. Your Tickets3. Tickets for your team4. Statistics5. Services expected from you.6. Download Forms7. Feedback

All the modules are same as in above module. The difference is in the type of

reports that the service section head can view. He can monitor the overall

performance of all the service departments working under him and can see the

number of queries resovled each month or day or year.



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Screenshot of Advisor service section

Overall Department wise number of Queries Status

DepartmentNo of Queries

In Progress

No of Queries

Open

No of Queries

Pending

No of Queries

Resolved

Accounts 2

Admission Office 1

Business IncubationCenter

1 2 13

Computer Science 1

Electrical Engineering 4 3 4

Examination 1

Human Resource 2

IT Centre 12 15 1 43

Library 2 6

Management Science 2

Office of Development 1 1

Physics 1 9

Repair andMaintenance Office

1 2

Security Section 1 10

Services 3 6 9



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(Figure-1.1)

The above graphical report (in figure-1.1) shows that the IT Centre is the mostactive section who is dealing frequently with the user queires.

Electrical engineering department has three pending queries and IT Centre

have only one query pending.

The system also shows the number of queries resolved by an individual staffmember.



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Using Decision Support System

What if Analysis

Figure 1.1 shows the number of complaints received from different buildings.Following are the findings from the report.

1. The report shows that there are more complains received from ITCentre and Services with respect to other buildings.

2. It also shows that the maximum numbers of complains are of networkservices.

3. Since network services are maintained from Network operation Centre(NOC). Thus reaffirming the staff number and training would help minimizethe number of complaints received.

Goal Seek Analysis

The goal is to minimize the number of complaints regarding network services. Isurveyed the CIIT in order to find what is the root cause of the networkcomplains. On interviewing with NOC team I come up with the following points.

1. The load shedding is the main cause of the network failure occurrence.

2. The generators are functional but many times they mostly dont haveenough fuel to run.

3. Lack of general understanding of general user to follow the directionsgiven by NOC room team.

4. Non-availability of N+1 backup scheme.

In order to achieve the goal following things should be done for smooth runningof network services.

1. Generator should be automatically turned on and fuel must be providedon time.

2. Initiating more and more trainings of general end users so that minorproblems could be handled by end user himself.

3. Better backup implementation plan.



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Sensitivity Analysis

While interviewing the NOC team; I found that the potential reasons for thenetwork failure are followings.

1. Power failures

2. In-efficient use of available bandwidth

The above two factors are very critical and sensitive and must be addressed forthe smooth running of the network service. E-g; in the morning more bandwidthshould be available because the traffic load in the morning is more than theevening. Following should be done for the smooth running of networkoperations.

1. Network traffic should be properly managed.

2. Power backup should be provided so that the devices may not getmalfunction.

Optimization Analysis

1. Statistical analysis should be performed to obtain specific time of the daywhen traffic load is maximum.

2. Dedicated hardware to implement major services like DNS, proxy serverand firewall etc.

3. Implement network traffic load balancing.



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Data Collection Method

The data was collected primarily from the three sources. Basically we collectedquantitative data:

Internet.

Book

Collecting the information from CIIT administrative staff Islamabad.

Primary data:

The information collected from the CIIT administrative staff was the

sample help desk data, sample reports and graphical reports. After collecting

the sample data the analysis was done on the provided data which is discussed

in this report.

Secondary data:

The secondary data was collected from the book and the internet. The

data was given a meaningful form after collecting the raw data from the book

and the internet.



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Merits/Strength

The Decision Supports System (DSS) of CIIT shows the complete overall

performance of the service sections.

Every service section can monitor the performance of staff working under

him.

The advisor service section can monitor the performance of all service

sections and their staff working under them.

The system also shows the number of queries resolved by individual

faculty / staff members.

The system can also tell which building has greater number of network

issue so to effectively manage the resource persons.

The individual performance of the faculty staff members are used in CRC

meeting for contract renewal or award of performance bonus.

All complete history of the ticket can be seen like when it was initiated,

how many people took part in resolving that issue.



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Demerits/Deficiencies

When the system is transparent every ones performance is

exposed of. So no one will want to run this system.

Due to load shedding problem power backup are required like UPS,

generator.

Providing training to staff.

Proper backups of database should be maintained.

The system runs on Internet if the internet is down than there will

be delay in processing of new request.

In-efficient use of bandwidth available.



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3 4


Conclusions

Decision system is the need of the time and must be implemented

in the organization.

Decision supports system help the manager to make right

decisions at the right time.

If the decision support is implemented properly than the managers

can take decision at any time.

Decision supports system provides the transparent information

Decision support system is must for right decision at the right time

at the right place by the right person.

Recommendations A culture should be developed so that the people use it more

efficiently and effectively.

Proper power back up should be provided for smooth running of

the system.

Proper bandwidth should be allocated to the system so that the

system may run without any interruption.

Network load balancing should be done properly.

Statistical analysis should be performed to obtain specific time ofthe day when traffic load is maximum.



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Dedicated hardware to implement major services like DNS, proxyserver and firewall etc.

Training should be provided to the faculty / staff.

References

1. GM-IT Mr. Ahmed Mumtaz Mustehsan

2. Mr. Abdul Rehman Yasir (ITC Department of CIIT)

3. Mr. Jawad Bashir - (ITC Department of CIIT)

4. Mr. Muhammad Hassan Altaf - (ITC Department of CIIT)

5. CIIT Website: www.ciit.edu.pk

6. CIIT Help Desk: http://ww3.comsats.edu.pk/helpdesk
http://ww3.comsats.edu.pk/helpdeskhttp://ww3.comsats.edu.pk/helpdesk

mis decision support system (comsats)

Documents