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Week 4

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Title: Week 4


1
Week 4
  • Decision Support System (DSS)/ Intelligent DSS

2
Case Scenario
ABC Enterprise is a multinational company that
offers multimedia content services in several
regions in Asia. It has more than 2000 suppliers
serving 6 millions content subscribers. For a
company of this size, a major problem is to
maintain its efficient operation with minimum
costs. One problem that has caused trouble in the
companys information systems department is how
to maintain its more than 2000 suppliers. Every
year, they have to retain or hire new suppliers
from thousands of external application. The CEO
of the company, Mr. Ridzuan wishes that the
process of selecting supplier can be controlled
in order to maximize its return. Thus, Mr.
Ridzuan is thinking whether there is any system
that can be built to assist in making decision of
selecting new supplier based on criteria such as
technical expertise, job quality, costs etc.
3
Concept of Decision Support Systems (DSS)
DSS are interactive computer-based systems, which
help decision makers utilize data and models to
solve unstructured problems (Scott Morton,
1971) Decision support systems couple the
intellectual resources of individuals with the
capabilities of the computer to improve the
quality of decisions. It is a computer-based
support system for management decision makers who
deal with semi-structured problems (Keen and
Scott Morton, 1978) DSS means different things
to different peopleThere is no universally
accepted definition of DSS
4
DSS terms
  • DSS is closely associated with the terms Online
    Analytical Processing (OLAP) and Data Warehousing
    (DW)
  • OLAP refers to querying and accessing on-line
    database
  • DW refers to specific technical architectures for
    storing and accessing large amounts of data

5
Characteristics and Capabilities of DSS
  • DSS
  • Provide support in semi-structured and
    unstructured situations.
  • Support for various managerial levels.
  • Support all phases of the decision-making
    process.
  • Goal is to improve the effectiveness of decision
    making.
  • Decision makers can make better, more consistent
    decisions in a timely manner.

6
DSS Components
  • 1. Data Management Subsystem2. Model Management
    Subsystem3. Knowledge Management Subsystem4.
    User Interface Subsystem5. The User

7
Data Management
Model Management
Other Systems
Knowledge Management
User Interface
User
DSS Architecture
8
The Data Management Subsystem
  • A data management system (DMS) is a computer
    program designed to manage a database (a large
    set of structured data), and run operations on
    the data requested by numerous clients. The DMS
    can be interconnected with the corporate data
    warehouse. Typical examples of DMS use include
    accounting, human resources and customer support
    systems.
  •  Some of the capabilities of DMS in a DSS are
  • Captures/extracts data for inclusion in a DSS
    database.
  • Interrelates data from different sources.
  • Performs complex data manipulation tasks based on
    user queries.

9
Data in DSS
OLAP
K N O W L E D G E
DW
ERP
ETL
Reports
ODS
POS
Mining
Structured
Unstructured
Content Mgmt
Product specs, web docs, video files, ads, CAD,
RD docs, word processing docs, e-mail, project
plans, forms, audio files, brochures, manuals,
legal contracts, graphic designs
10
The Model Management Subsystem
  • The model base management system (MBMS) is a
    computer program that includes financial,
    statistical, management science or other
    quantitative models that provide the systems
    analytical capabilities and appropriate software
    management. Usually, the models are customized
    using modeling languages (programming tools).
  • Some of the capabilities of MBMS in a DSS are
  • Allows user to manipulate the models so they can
    conduct experiments and sensitivity analyses
    ranging from what-if to goal seeking.
  • Catalogs and displays the directory of models for
    use by several individuals in the organization.

11
Categories of Models
  • Optimization
  • get the highest level of goal attainment from a
    given set of resources.
  • Heuristics
  • "rules of thumb" to arrive at satisfactory
    solutions.
  • Simulation
  • predict behavior of a system over time.
  • Sensitivity analysis
  • change inputs or parameters and look at model
    results.
  • 2 approaches
  • What-if analysis forward solution approach.
  • Goal seeking backward solution approach.

12
The Knowledge Management Subsystem
  • Many unstructured and even semi-structured
    problems are so complex that their solutions
    require expertise. This can be provided by an
    expert system or other intelligent system.
  • Some of the capabilities of KMS in a DSS are
  • Provides expertise in solving complex
    unstructured and semi-structured problems
  • What models to use, how, and interpreting results
  • Reasoning, handling uncertainty and learning from
    data
  • Expertise provided by an expert system or other
    intelligent system (AI techniques)

13
Example Knowledge Representation
  • Production Rule (IF..THEN..ELSE) Examples
  • IF your income is highTHEN your chance of being
    audited by the IRS is high.
  • IF your income is highTHEN your chance of being
    audited by the IRS is highELSE your chance for
    being audited is lower.
  • IF your income is high OR your deductions are
    unusualTHEN your chance of being audited by the
    IRS is highELSE your chance for being audited is
    low.

14
The User Interface (Dialog) Subsystem
  • User interface (of a computer program) refers to
    the graphical, textual and auditory information
    the program presents to the user, and the control
    sequences (such as keystrokes with the computer
    keyboard, movements of the computer mouse, and
    selections with the touch screen) the user
    employs to control the program.

15
The User
  • Managers
  • Staff specialists
  • Intermediary1.Staff assistant2.Business
    (system) analyst3.Group DSS Facilitator

16
Distinguishing DSS from Management Science and
MIS
  • DSS is a problem solving tool and is frequently
    used to address ad hoc and unexpected problems.
  • DSS evolve as they develop.

17
DSS Example
  • Expert Choice
  • http//www.l4networks.com/expchoice/ec_hr_mgmt_pre
    view.htm (HR Employee)
  • http//www.l4networks.com/expchoice/ec_vendor_sel_
    preview.htm (Vendor Selection)
  • ProAct
  • http//www.cosmic-solutions.com/software/proact/sc
    reenshots/prodProf.htm (Product/Customer
    Profitability)

18
Intelligence Density Dimension
  • Response speed
  • Flexibility
  • Ease of use
  • Computing resources
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