MOD 2 Kinds of Information systems
Feb 25, 2016
MOD 2
Kinds of Information systems
2
Transaction Processing Information Systems
The transaction processing system Monitors Collects Stores Processes Disseminates information
for all routine core business transactions.
In every organization there are business transactions that provide its mission-critical activities. Each transaction may generate additional transactions. Since the computations involved in most transactions are simple and the transaction processes are well defined they can be easily computerized.
The primary goal of TPS is to provide all the information needed to keep the business running properly and efficiently.
Transactions
Transactions… Basic business operations such as customer orders,
purchase orders, receipts, time cards, invoices, and payroll checks in an organization
Transaction processing systems (TPS) Perform routine operations and serve as a foundation for
other systems
Transaction processing system A transaction processing system is a type of
information system. TPSs collect, store, modify and retrieve the
transactions of an org. A transaction is an event that generates or modifies data that is eventually stored in an information system.
E.g. order entry system, cheque processing systems, accounts receivable systems, payroll system , ticket reservation systems.
These system help any company to conduct operations and keep track of its activities.
Data entry & input
ProcessingDocuments& reports
Database
Internally generatedtransactions:• shipped orders• purchase orders• employee time cardsExternally generated transactions:• customer orders• vendor invoices• customer payments
Database update:• customer orders• inventory• purchase orders• customers• suppliers
Documents:• pick list• cheques to vendors• receiving notices• paychequesOperational reports:• finished product
inventory status• raw materials;
packing materials; spare parts; inventory status
A ticket reservation system displays a message on the terminal indicating seats sold out to people, it also prints the tickets and perhaps a mailing label for sending them.
Event Transaction keyed
TPS program TPS Databas
e
ReportsResponse
Notice of the event
Objectives of TPS
Process data generated by and about transactions Maintain a high degree of accuracy Ensure data and information integrity and accuracy Produce timely documents and reports Increase labour efficiency Help provide increased and enhanced service Help build and maintain customer loyalty Achieve competitive advantage
TPS characteristics
They collect, store, modify and retrieve the transaction of an org
Directly support business operations Must be designed in conjunction with the
organizations procedures. Main information processes: collecting and
storage.
Types of TPS
On-line system: it involves a direct connection between the operator and the TPS program, they provide immediate result.
E.g. An order arrive by telephone call for Pizza hut it is processed at that moment and the results are produced.
On-line Schematic
Output
Terminal
Terminal
TerminalTerminal
Terminal
Terminal
Immediateprocessingof eachtransaction
TYPES OF TPS
Batch processing: here the transactions are grouped together and processed as a unit.
E.g. A cheque processing system in a bank all the cheque received in a particular day are grouped together. Then they are sorted by the account no and processed in a batch.
Batch Schematic
Data entryof accumulated
transactions
Input(batched) Output
Disadvantages in batch processing Processing schedule predetermined Errors unable to be corrected during
processing Sorting transaction data- expensive and time
consuming
Example of batch transaction processing Cheque clearance Bill generation Credit card sales transaction
Example of real time transaction processing Reservation systems Hotels Point of sales terminals Library systems
Point-of-Sale Transaction Processing System
Customer’sreceipt
Inventorydatabase
Managementinformation
system
Exceptionreport
Purchasesdatabase
Scanner
Point-of-saletransactionprocessing
system
Itemdatabase
UPC andquantity
Item, quantity,date, time, price
UPC Price
UPC
Quantity,Date,time
Batch vs. On-Line Transaction Processing
Two types of TPS: Batch processing
A system whereby business transactions are accumulated over a period of time and prepared for processing as a single unit or batch
On-line transaction processing (OLTP) A system whereby each transaction is processed
immediately, without the delay of accumulating transactions into a batch
Difference b/w real time and batchReal time each transaction is unique transactions are stand alone requires master files to be
available more often for updating
fewer errors- transaction data is validated and entered immediately
infrequent errors may occur- but often tolerated
not practical to shut down whole system ( infrequent errors)
Batch each transaction part of a
group database not accessible all the
time more errors data is organised and stored
before master file is updated errors can occur during these
steps easier to maintain than real
time.
BusinessRules
ProductCustomerInventory
CurrentRecords
OrderAcknowledgement
AcceptedOrders
Model of TPS
TPS Model: Customer order processing & acceptance
CustomerOrder:
Mail/E-mail
CustomerOrder
ThroughWeb
CustomerOrder data processing
CustomerOrder TransactionProcessing System
(TPS)
UpdateOrderbook
Customer Type Check
CreditTermsCheck
Credit Limit check
Reservestock
Delivery datecheck
Trigger Order Acknowledgement
Business Rules based processing
E-mailTo Customer
Transaction Processing System
What is Office Automation?
Office automation refers to the use of integrated computer and communication systems to support administrative procedures in an office environment.
Office automation systems are computer based information systems that collect, process, store and transmit electronic messages, documents and other forms of communications among individuals, work groups and org.
Office Management
Office management systems include electronic office accessories, electronic scheduling, and task management.
These systems provide an electronic means of organizing people, projects, and data.
Business dates, appointments, notes, and client contact information can be created, edited, stored, and retrieved.
Additionally, automatic reminders about crucial dates and appointments can be programmed.
Projects and tasks can be allocated, subdivided, and planned. All of these actions can either be done individually or for an entire group.
Computerized systems that automate these office functions can dramatically increase productivity and improve communication within an organization.
Office Automation system collects, processes, stores and transmits data and information in the form of electronic office communication.
OAS could also be considered as computer-based information system that collects, process, store and transmit electronic message, document and other form of communication among individual, work group and organizations.
Examples- word processing, electronic mail, desktop publishing, telecommunication and document image processing.
Need for Office Automation Storage space Cost of processing Paper Cost
Types of functions integrated by office automation systems include electronic publishing; electronic communication; electronic collaboration; image processing; and office management.
At the heart of these systems is often a local area network (LAN) or WAN
It allows users to transmit data, voice, mail, and images across the network to any destination, whether that destination is in the local office on the LAN, or in another country or continent, through a connecting network.
An OAS makes office work more efficient and increases productivity.
Electronic Publishing
Electronic publishing systems include word processing and desktop publishing.
Word processing software, (e.g., Microsoft Word, Corel Word-Perfect) allows users to create, edit, revise, store, and print documents such as letters, memos, reports, and manuscripts.
Desktop publishing software (e.g., Adobe PageMaker, Corel VENTURA, Microsoft Publisher) enables users to integrate text, images, photographs, and graphics to produce high-quality printable output.
Desktop publishing software is used on a microcomputer with a mouse, scanner, and printer to create professional-looking publications. These may be newsletters, brochures, magazines, or books.
Electronic Communication
Electronic communication systems include electronic mail (e-mail), voice mail, facsimile (fax), and desktop videoconferencing.
Electronic Mail E-mail is software that allows users, via their computer
keyboards, to create, send, and receive messages and files to or from anywhere in the world.
Most e-mail systems let the user do other sophisticated tasks such as filter, prioritize, or file messages; forward copies of messages to other users; create and save drafts of messages; send "carbon copies"; and request automatic confirmation of the delivery of a message.
E-mail is very popular because it is easy to use, offers fast delivery, and is inexpensive.
Examples of e-mail software are Eudora, Lotus Notes, and Microsoft Outlook.
Voice Mail
Voice mail is a sophisticated telephone answering machine.
It digitizes incoming voice messages and stores them on disk.
When the recipient is ready to listen, the message is converted from its digitized version back to audio, or sound.
Recipients may save messages for future use, delete them, or forward them to other people.
Facsimile.
A facsimile or facsimile transmission machine (FAX) scans a document containing both text and graphics and sends it as electronic signals over ordinary telephone lines to a receiving fax machine.
This receiving fax recreates the image on paper. A fax can also scan and send a document to a fax modem (circuit board) inside a remote computer.
The fax can then be displayed on the computer screen and stored or printed out by the computer's printer.
Desktop Videoconferencing Desktop videoconferencing is one of the fastest growing
forms of videoconferencing. Desktop videoconferencing requires a network and a
desktop computer with special application software (e.g., CUSeeMe) as well as a small camera installed on top of the monitor.
Images of a computer user from the desktop computer are captured and sent across the network to the other computers and users that are participating in the conference.
This type of videoconferencing simulates face-to-face meetings of individuals.
Electronic Collaboration
Electronic collaboration is made possible through electronic meeting and collaborative work systems and teleconferencing.
Electronic meeting and collaborative work systems allow teams of coworkers to use networks of microcomputers to share information, update schedules and plans, and cooperate on projects regardless of geographic distance.
Special software called groupware is needed to allow two or more people to edit or otherwise work on the same files simultaneously.
Teleconferencing is also known as videoconferencing.
As was mentioned in the discussion of desktop videoconferencing earlier, this technology allows people in multiple locations to interact and work collaboratively using real-time sound and images.
Full teleconferencing, as compared to the desktop version, requires special-purpose meeting rooms with cameras, video display monitors, and audio microphones and speakers.
Tele conferencing rooms
Telecommuting and Collaborative Systems Telecommuters perform some or all of
their work at home instead of travelling to an office each day, usually with the aid of office automation systems, including those that allow collaborative work or meetings.
A microcomputer, a modem, software that allows the sending and receiving of work, and an ordinary telephone line are the tools that make this possible.
Telecommuting is gaining in popularity in part due to the continuing increase in population, which creates traffic congestion, promotes high energy consumption, and causes more air pollution.
Telecommuting can help reduce these problems. Telecommuting can also take advantage of the skills of homebound people with physical limitations.
Studies have found that telecommuting programs can boost employee morale and productivity among those who work from home.
It is necessary to maintain a collaborative work environment, however, through the use of technology and general employee management practices, so that neither on-site employees nor telecommuters find their productivity is compromised by such arrangements.
The technologies used in electronic communication and teleconferencing can be useful in maintaining a successful telecommuting program.
Image Processing Image processing systems include electronic document
management, presentation graphics, and multimedia systems.
Imaging systems convert text, drawings, and photographs into digital form that can be stored in a computer system.
This digital form can be manipulated, stored, printed, or sent via a modem to another computer.
Imaging systems may use scanners, digital cameras, video capture cards, or advanced graphic computers.
Companies use imaging systems for a variety of documents such as insurance forms, medical records, dental records, and mortgage applications.
Presentation graphics software uses graphics and data from other software tools to create and display presentations.
The graphics include charts, bullet lists, text, sound, photos, animation, and video clips.
Examples of such software are Microsoft Power Point, Lotus Freelance Graphics, and SPC Harvard Graphics.
Multimedia systems are technologies that integrate two or more types of media such as text, graphic, sound, voice, full-motion video, or animation into a computer-based application.
Multimedia is used for electronic books and newspapers, video conferencing, imaging, presentations, and web sites.
Management Information Systems (MIS)
An MIS provides managers with information and support for effective decision making, and provides feedback on daily operations
Output, or reports, are usually generated through accumulation of transaction processing data
Each MIS is an integrated collection of subsystems, which are typically organized along functional lines within an organization
Management Information Systems The original type of information system
that supported managerial decision making Produces information products that support
many day-to-day decision-making needs Produces reports, display, and responses Satisfies needs of operational and tactical decision
makers who face structured decisions
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Management Information Systems
Information system at the management level of an organization that serves the functions of planning, controlling, and decision making by providing routine summary and exception reports. TYPE: Management-level
INPUTS: high volume dataPROCESSING: simple models OUTPUTS: summary reportsUSERS: middle managersDECISION-MAKING: structured to semi-structured
E.g. annual budgeting
A SAMPLE MIS REPORT
Objectives of MIS
To provide requisite information support for managerial functions within the org.
To make available, right information at the right place at the right time at the lower cost.
To ensure that wrong and unwanted info is not generated; the condition of data overloaded is avoided.
The objectives of MIS are derived from company’s objectives.
Characteristics of MIS1. MIS support structured decisions at the operational and
management control levels. However, they are also useful for planning purposes of senior management staff.
2. MIS are generally reporting and control oriented. They are designed to report on existing operations and therefore to help provide day-to-day control of operations.
3. MIS rely an existing corporate data-and data flows.4. MIS have little analytical capability.5. MIS generally aid in decision making using past and
present data.6. MIS are relatively inflexible.7. MIS have an internal rather than an external orientation.
Scope of MIS
To provide managerial end users with information products that support much of their day to day decision making needs
To provide a variety of reports and displays to management
To provide information on the contents of the information products specified in advance by mangers.
To retrieve information about internal operations from databases that have been updated by TPS.
Corporatedatabasesofinternaldata
Databasesofexternaldata
Databasesofvalidtransactions
Operationaldatabases
Transactionprocessingsystems
Managementinformationsystems
Decisionsupportsystems
Executivesupportsystems
Expertsystems
Businesstransactions
Input anderror list
Drill-down reportsException reportsDemand reports
Key-indicator reports
Scheduledreports
Employees
Corporateintranet
Applicationdatabases
Outputs of a Management Information System Scheduled reports
Produced periodically, or on a schedule (daily, weekly, monthly)
Key-indicator report Summarizes the previous day’s critical activities Typically available at the beginning of each day
Demand report Gives certain information at a manager’s request
Exception report Automatically produced when a situation is unusual or
requires management action
Management Information Systems for Competitive Advantage
Provides support to managers as they work to achieve corporate goals
Enables managers to compare results to established company goals and identify problem areas and opportunities for improvement
Decision Support Systems (DSS)
Information system at the management level of an organization that combines data and sophisticated analytical models or data analysis tools to support semi-structured and unstructured decision making.
TYPE: Management-levelINPUTS: low volume dataPROCESSING: simulations, analysis OUTPUTS: decision analysisUSERS: professionals, staff managersDECISION-MAKING: semi-structured
EXAMPLE: sales region analysis
Decision Support Systems
Decision support systems use the following to support the making of semi-structured business decisions Analytical models Specialized databases A decision-maker’s own insights and judgments An interactive, computer-based modeling process
DSS systems are designed to be ad hoc, quick-response systems that are initiated and controlled by decision makers
10-53
DSS Components
10-54
DSS Model Base
Model Base A software component that consists of
models used in computational and analytical routines that mathematically express relations among variables
Spreadsheet Examples Linear programming Multiple regression forecasting Capital budgeting present value
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Decision Support Framework.
Characteristics of Decision-Support Systems
1. DSS offer users flexibility, adaptability, and a quick response.
2. DSS operate with little or no assistance from professional programmers.
3. DSS provide support for decisions and problems whose solutions cannot be specified in advance.
4. DSS use sophisticated data analysis and modelling tools.
The DSS and its Computing Environment
Emerging Types of DSS Frontline decision making. The process by which companies automate decision process and push them down into the organization and sometimes out to partners.Real- Time Decision Support. The systems that supports business decisions that must be made at the right time and frequently under time pressure.
Using DSS in Market Segmentation Can be used for identifying and evaluating
alternative segments Markets can be identified and evaluated based
on various important attributes (e.g. growth, revenue, ROI etc)
Uses internal experts’ opinion Gives results of the effect of decision on desired
objectives ( production, costs, profit etc.
Levels of Managerial Decision Making
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Decision Structure
Structured (operational) The procedures to follow when decision
is needed can be specified in advance Unstructured (strategic)
It is not possible to specify in advance most of the decision procedures to follow
Semi-structured (tactical) Decision procedures can be pre-specified,
but not enough to lead to the correct decision
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Decision Support Systems
Management Information Systems
Decision Support Systems
Decision support provided
Provide information about the performance of the
organization
Provide information and techniques to analyze
specific problemsInformation form and frequency
Periodic, exception, demand, and push reports
and responses
Interactive inquiries and responses
Information format
Prespecified, fixed format Ad hoc, flexible, and adaptable format
Information processing methodology
Information produced by extraction and manipulation
of business data
Information produced by analytical modeling of
business data
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Decision Support Trends
The emerging class of applications focuses on Personalized decision support Modeling Information retrieval Data warehousing What-if scenarios Reporting
10-64
Applications of Statistics and Modeling
Supply Chain: simulate and optimize supply chain flows, reduce inventory, reduce stock-outs
Pricing: identify the price that maximizes yield or profit
Product and Service Quality: detect quality problems early in order to minimize them
Research and Development: improve quality, efficacy, and safety of products and services
10-65
Using Decision Support Systems Using a decision support system involves an
interactive analytical modeling process Decision makers are not demanding
pre-specified information They are exploring possible alternatives
What-If Analysis Observing how changes to selected variables affect
other variables
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Using Decision Support Systems Sensitivity Analysis
Observing how repeated changes to a single variable affect other variables
Goal-seeking Analysis Making repeated changes to selected variables until a
chosen variable reaches a target value Optimization Analysis
Finding an optimum value for selected variables, given certain constraints
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Group Decision Support Systems Computer-based system that supports groups
of people engaged in a common task (or goal) and that provides an interface to a shared environment.
Used in problem solving Related areas
Electronic meeting system (EMS) Computer-supported cooperative work (CSCW) Group support system (GSS) Groupware
Group Support Systems
Goal: to support groupwork Increase benefits / decrease losses of
collaboration Based on
Nominal Group Technique Delphi Method
Electronic Meeting System (EMS)
How GDSS Contributes to Problem Solving
Improved communications Improved discussion focus Less wasted time
GDSS Environmental Settings Synchronous exchange
Members meet at same time Committee meeting is an example
Asynchronous exchange Members meet at different times E-mail is an example
More balanced participation.
GDSS Types Decision rooms
Small groups face-to-face Parallel communication Anonymity
Local area decision network Members interact using a LAN
Legislative session Large group interaction
Computer-mediated conference Permits large, geographically dispersed group
interaction
Groupware Functions
E-mail FAX Voice messaging Internet access
Lotus Notes Popular groupware product Handles data important to managers
Groupware
Lotus Notes / Domino ServerIncludes Learning Space
Netscape Collabra Server Microsoft NetMeeting Novell Groupwise GroupSystems TCBWorks WebEx
Cool Rooms
US Air Force
Cool Rooms
IBM Corp.
Expert Systems
An Expert System (ES) A knowledge-based information system Contain knowledge about a specific, complex
application area Acts as an expert consultant to end users
Components of an Expert System Knowledge Base
Facts about a specific subject area Heuristics that express the reasoning procedures of
an expert (rules of thumb) Software Resources
An inference engine processes the knowledge and recommends a course of action
User interface programs communicate with the end user
Explanation programs explain the reasoning process to the end user
Components of an Expert System
Methods of Knowledge Representation Case-Based
Knowledge organized in the form of cases Cases are examples of past performance,
occurrences, and experiences Frame-Based
Knowledge organized in a hierarchy or network of frames
A frame is a collection of knowledge about an entity, consisting of a complex package of data values describing its attributes
Methods of Knowledge Representation Object-Based
Knowledge represented as a network of objects An object is a data element that includes both data
and the methods or processes that act on those data Rule-Based
Knowledge represented in the form of rules and statements of fact
Rules are statements that typically take the form of a premise and a conclusion (If, Then)
Features of an EIS
Information presented in forms tailored to the preferences of the executives using the system Customizable graphical user interfaces Exception reports Trend analysis
Expert System Application Categories
Decision Management Loan portfolio analysis Employee performance evaluation Insurance underwriting
Diagnostic/Troubleshooting Equipment calibration Help desk operations Medical diagnosis Software debugging
Expert System Application Categories Design/Configuration
Computer option installation Manufacturability studies Communications networks
Selection/Classification Material selection Delinquent account identification Information classification Suspect identification
Expert System Application Categories Process Monitoring/Control
Machine control (including robotics) Inventory control Production monitoring Chemical testing
Applications of Expert Systems and Artificial Intelligence
Credit granting Information management and retrieval AI and expert systems embedded in products Plant layout Hospitals and medical facilities Help desks and assistance Employee performance evaluation Loan analysis Virus detection Repair and maintenance Shipping Marketing Warehouse optimization
Developing Expert Systems
Suitability Criteria for Expert Systems Domain: the domain or subject area of
the problem is small and well-defined Expertise: a body of knowledge, techniques,
and intuition is needed that only a few people possess Complexity: solving the problem is a complex task
that requires logical inference processing
Developing Expert Systems
Suitability Criteria for Expert Systems Structure: the solution process must be able
to cope with ill-structured, uncertain, missing, and conflicting data and a changing problem situation
Availability: an expert exists who is articulate, cooperative, and supported by the management and end users involved in the development process
Development Tool
Expert System Shell The easiest way to develop an expert system A software package consisting of an expert
system with its knowledge base Has an inference engine and user interface
programs
Overview of Expert Systems Can…
Explain their reasoning or suggested decisions Display intelligent behavior Draw conclusions from complex relationships Provide portable knowledge
Expert system shell A collection of software packages and tools
used to develop expert systems
Know-ledgebase
User
Userinterface
Instructions &information
Solutions &explanations Knowledge
Inference engine
Problem Domain
Expert and knowledge engineer
Developmentengine Expert
system An Expert System Model
Expert System Model User interface
Allows user to interact with system Knowledge base
Houses accumulated knowledge Inference engine
Provides reasoning Interprets knowledge base
Development engine Creates expert system
User Interface User enters:
Instructions Information
Expert system provides: Solutions Explanations of
Questions Problem solutions
}Menus, commands, natural language, GUI
Knowledge Base Description of problem domain Rules
Knowledge representation technique ‘IF:THEN’ logic Networks of rules
Lowest levels provide evidence Top levels produce 1 or more conclusions Conclusion is called a Goal variable.
Capabilities of Expert Systems
Strategic goal setting
Decision making
Planning
Design
Quality control and monitoring
Diagnosis
Explore impact of strategic goals
Impact of plans on resources
Integrate general design principles and manufacturing limitations
Provide advise on decisions
Monitor quality and assist in finding solutions
Look for causes and suggest solutions
When to Use an Expert System (1)
Provide a high potential payoff or significantly reduced downside risk
Capture and preserve irreplaceable human expertise
Provide expertise needed at a number of locations at the same time or in a hostile environment that is dangerous to human health
When to Use an Expert System (2)
Provide expertise that is expensive or rare Develop a solution faster than human
experts can Provide expertise needed for training and
development to share the wisdom of human experts with a large number of people
Benefits of Expert Systems
Captures the expertise of an expert or group of experts in a computer-based information system Faster and more consistent Can contain knowledge of multiple experts Does not get tired or distracted Cannot be overworked or stressed Helps preserve and reproduce the knowledge
of human experts
Expert System Advantages For managers
Consider more alternatives Apply high level of logic Have more time to evaluate decision rules Consistent logic
For the firm Better performance from management team Retain firm’s knowledge resource
Expert System Disadvantages
Can’t handle inconsistent knowledge Can’t apply judgment or intuition
Limitations of Expert Systems The major limitations of expert systems
Limited focus Maintenance problems Development cost Can only solve specific types of problems
in a limited domain of knowledge
Limitations of Expert Systems Not widely used or tested Limited to relatively narrow problems Cannot readily deal with “mixed” knowledge Possibility of error Cannot refine own knowledge base Difficult to maintain May have high development costs Raise legal and ethical concerns
Determining requirements
Identifying experts
Construct expert system components
Implementing results
Maintaining and reviewing system
Expert Systems Development
Domain• The area of knowledge
addressed by theexpert system.
Keys to Successful ES Development Coordinate ES development with strategic
planning Clearly define problem to be solved and
understand problem domain Pay particular attention to ethical and legal
feasibility of proposed system Understand users’ concerns and expectations
concerning system Employ management techniques designed to
retain developers
Executive Support Systems (ESS)
Information system at the strategic level of an organization that address unstructured decision making through advanced graphics and communications.
TYPE: Strategic levelINPUTS: aggregate data; internal and externalPROCESSING: interactiveOUTPUTS: projectionsUSERS: senior managersDECISION-MAKING: highly unstructured
EXAMPLE: 5 year operating plan
Executive information system
EIS are management information systems tailored to benefit the strategic information needs of top mgmt/ senior executives.
Usually they involve presenting reports in standard formats and they often involve graphics.
Executive Information Systems (EIS)
Combines many features of MIS and DSS Provide top executives with immediate and
easy access to information Identify factors that are critical to accomplishing
strategic objectives (critical success factors) So popular that it has been expanded to managers,
analysis, and other knowledge workers
EIS features
Ability to solve diverse business problems Access to external data pools Ability to respond to ad-hoc queries and sensitivity analysis An easy to use/easy to learn graphical user interface Statistical analytical tools On request, drill down capability to reach information for further
details On demand financial and other ratios and indicators that reflects org
strengths and weaknesses Easy to use but sophisticated tools to allow navigation ( in data
bases and datawarehouses)
Components of ESS
Executive work stations depends on mainframe or minicomputer systems for access to ESS software.
This package works with DBMS and telecommunication software to provide easy access to internal, external and special database with almost instantaneous response time.
Architecture of ESS Application
OAS Data
Executive work station
ESS program
Graphs Reports ESS Models
MIS Data
DSS Models
AdministrativeSupport Work station
TPS Data
Requests
Responses
Executive MIS
Major Types of Information Systems
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End of Module 2Thank you