Title: Enhancing Decision Making for the Digital Firm
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Chapter
Enhancing Decision Making for the Digital Firm
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OBJECTIVES
- Describe different types of decisions and the
decision-making process - Evaluate the role of information systems in
helping people working individually and in a
group make decisions more efficiently - Demonstrate how executive support systems can
help senior managers make better decisions
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OBJECTIVES (Continued)
- Assess how systems that support decision making
can provide value for the firm - Identify the challenges posed by decision-support
systems, group decision-support systems, and
executive support systems and management solutions
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DaimlerChrysler Bremen Plant Case
- Challenge Coordinate the daily arrival of 70
rail cars and 500 trucks to ensure just-in-time
delivery of car parts - Solutions Adopt Transportation Efficiency
Support System (TESYS) to synchronize the
deliveries with available loading docks and
production schedules - Develop new business processes for coordinating
logistics with production needs - Illustrates the how IT enhances decision making
and increases business process efficiency in a
manufacturing environment
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DECISION MAKING AND DECISION-SUPPORT SYSTEMS
Business Intelligence and Decision Support
Business intelligence enables firms to
- Amass information
- Develop knowledge about operations
- Change decision-making behavior to achieve
profitability and other business goals
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DECISION MAKING AND DECISION-SUPPORT SYSTEMS
Systems and Technologies for Business
Intelligence
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DECISION MAKING AND DECISION-SUPPORT SYSTEMS
Business Decision Making and the Decision-Making
Process
Decision-Making Levels
- Senior management
- Middle management and project teams
- Operational management and project teams
- Individual employees
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DECISION MAKING AND DECISION-SUPPORT SYSTEMS
Information Requirements of Key Decision-Making
Groups in a Firm
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DECISION MAKING AND DECISION-SUPPORT SYSTEMS
Types of Decisions
Unstructured decisions
- Novel, non-routine decisions requiring judgment
and insights - Examples Approve capital budget decide
corporate objectives
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DECISION MAKING AND DECISION-SUPPORT SYSTEMS
Types of Decisions (Continued)
Structured decisions
- Routine decisions with definite procedures
- Examples Restock inventory determine special
offers to customers
Semistructured decisions
- Only part of decision has clear-cut answers
provided by accepted procedures - Examples Allocate resources to managers develop
a marketing plan
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DECISION MAKING AND DECISION-SUPPORT SYSTEMS
Systems for Decision Support
There are four kinds of systems that support the
different levels and types of decisions
- Management Information Systems (MIS)
- Decision-Support Systems (DSS)
- Executive Support Systems (ESS)
- Group Decision-Support Systems (GDSS)
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DECISION MAKING AND DECISION-SUPPORT SYSTEMS
Stages in Decision Making
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DECISION MAKING AND DECISION-SUPPORT SYSTEMS
Decision Making in the Real World
In the real world, investments in
decision-support systems do not always work
because of
- Information quality Accuracy, integrity,
consistency, completeness, validity, timeliness,
accessibility
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DECISION MAKING AND DECISION-SUPPORT SYSTEMS
Decision Making in the Real World (Continued)
- Management filters Biases and bad decisions of
managers - Organizational inertia Strong forces within
organization that resist change
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DECISION MAKING AND DECISION-SUPPORT SYSTEMS
Trends in Decision Support and Business
Intelligence
The rise of client/server computing, the
Internet, and Web technologies made a major
impact on systems that support decision making.
- Six Major Trends
- Detailed enterprise-wide data
- Broadening decision rights and responsibilities
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DECISION MAKING AND DECISION-SUPPORT SYSTEMS
Trends in Decision Support and Business
Intelligence (Continued)
- Intranets and portals
- Personalization and customization of information
- Extranets and collaborative commerce
- Team support tools
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SYSTEMS FOR DECISION SUPPORT
The Difference between MIS and DSS
Management Information Systems
- Primarily address structured problems
- Provides typically fixed, scheduled reports based
on routine flows of data and assists in the
general control of the business
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SYSTEMS FOR DECISION SUPPORT
Decision Support Systems
- Support semistructured and unstructured problems
- Greater emphasis on models, assumptions, ad-hoc
queries, display graphics - Emphasizes change, flexibility, and a rapid
response
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SYSTEMS FOR DECISION SUPPORT
Types of Decision-Support Systems
Model-driven DSS
- Primarily stand-alone systems
- Use a strong theory or model to perform what-if
and similar analyses
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SYSTEMS FOR DECISION SUPPORT
Data-driven DSS
- Integrated with large pools of data in major
enterprise systems and Web sites - Support decision making by enabling user to
extract useful information - Data mining Can obtain types of information such
as associations, sequences, classifications,
clusters, and forecasts
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SYSTEMS FOR DECISION SUPPORT
Components of DSS
- DSS database A collection of current or
historical data from a number of applications or
groups - DSS software system Contains the software tools
for data analysis, with models, data mining, and
other analytical tools - DSS user interface Graphical, flexible
interaction between users of the system and the
DSS software tools
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SYSTEMS FOR DECISION SUPPORT
Model An abstract representation that
illustrates the components or relationships of a
phenomenon
- Statistical models
- Optimization models
- Forecasting models
- Sensitivity analysis (what-if models)
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SYSTEMS FOR DECISION SUPPORT
Overview of a Decision-Support System
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SYSTEMS FOR DECISION SUPPORT
Sensitivity Analysis
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SYSTEMS FOR DECISION SUPPORT
Business Value of DSS
- Providing fine-grained information for decisions
that enable the firm to coordinate both internal
and external business processes much more
precisely - Helping with decisions in
- Supply chain management
- Customer relationship management
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SYSTEMS FOR DECISION SUPPORT
Business Value of DSS (Continued)
- Pricing Decisions
- Asset Utilization
- Data Visualization Presentation of data in
graphical forms, to help users see patterns and
relationships - Geographic Information Systems (GIS) Special
category of DSS that display geographically
referenced data in digitized maps
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SYSTEMS FOR DECISION SUPPORT
A DSS for Customer Analysis and Segmentation
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SYSTEMS FOR DECISION SUPPORT
Web-Based Customer Decision-Support Systems
- DSS based on the Web and the Internet can support
decision making by providing online access to
various databases and information pools along
with software for data analysis - Some of these DSS are targeted toward management,
but many have been developed to attract
customers.
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SYSTEMS FOR DECISION SUPPORT
Web-based Customer Decision-Support Systems
(Continued)
- Customer decision making has become increasingly
information intensive, with Internet search
engines, intelligent agents, online catalogs, Web
directories, e-mail, and other tools used to help
make purchasing decisions. - Customer decision-support systems (CDSS) support
the decision-making process of an existing or
potential customer.
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GROUP DECISION-SUPPORT SYSTEMS
What Is a GDSS?
- Group Decision-Support System (GDSS) is an
interactive computer-based system used to
facilitate the solution of unstructured problems
by a set of decision makers working together as a
group.
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GROUP DECISION-SUPPORT SYSTEMS
Three Main Components of GDSS
- Hardware (conference facility, audiovisual
equipment, etc.) - Software tools (Electronic questionnaires,
brainstorming tools, voting tools, etc.) - People (Participants, trained facilitator,
support staff)
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GROUP DECISION-SUPPORT SYSTEMS
Overview of a GDSS Meeting
- In a GDSS electronic meeting, each attendee has a
workstation. - The workstations are networked and are connected
to the facilitators console, which serves as the
facilitators workstation and control panel, and
to the meetings file server. - All data that the attendees forward from their
workstations to the group are collected and saved
on the file server.
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GROUP DECISION-SUPPORT SYSTEMS
Overview of a GDSS Meeting (Continued)
- The facilitator is able to project computer
images onto the projection screen at the front of
the room. - Many electronic meeting rooms have seating
arrangements in semicircles and are tiered in
legislative style to accommodate a large number
of attendees. - The facilitator controls the use of tools during
the meeting.
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GROUP DECISION-SUPPORT SYSTEMS
Group System Tools
Source From Nunamaker et al., Electronic
Meeting Systems to Support Group Work,
Communication of the ACM, July 1991. Reprinted
with permission.
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GROUP DECISION-SUPPORT SYSTEMS
Business Value of GDSS
- Traditional decision-making meetings support an
optimal size of three to five attendees. GDSS
allows a greater number of attendees. - Enable collaborative atmosphere by guaranteeing
contributors anonymity. - Enable nonattendees to locate organized
information after the meeting.
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GROUP DECISION-SUPPORT SYSTEMS
Business Value of GDSS (Continued)
- Can increase the number of ideas generated and
the quality of decisions while producing the
desired results in fewer meetings - Can lead to more participative and democratic
decision making
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EXECUTIVE SUPPORT IN THE ENTERPRISE
The Role of Executive Support Systems in the Firm
- ESS can bring together data from all parts of the
firm and enable managers to select, access, and
tailor them as needed. - It tries to avoid the problem of data overload so
common in paper reports.
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EXECUTIVE SUPPORT IN THE ENTERPRISE
The Role of Executive Support Systems in the Firm
(Continued)
- The ability to drill down is useful not only to
senior executives but also to employees at lower
levels of the firm who need to analyze data. - Can integrate comprehensive firmwide information
and external data in timely manner - Inclusion of modeling and analysis tools usable
with a minimum of training
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EXECUTIVE SUPPORT IN THE ENTERPRISE
Business Value of Executive Support Systems
- Ability to analyze, compare, and highlight trends
- Graphical interface enables users to review data
more quickly and with more insight, speeding
decision making. - Timeliness and availability of data enables more
timely decision making, helping businesses move
toward a sense-and-respond strategy.
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EXECUTIVE SUPPORT IN THE ENTERPRISE
Business Value of Executive Support Systems
(Continued)
- Increases upper management span of control,
better monitoring - ESS based on enterprise-wide data can be used for
decentralization of decision making or increase
management centralization.
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EXECUTIVE SUPPORT IN THE ENTERPRISE
Executive Support Systems and the Digital Firm
- Four Star Distribution Uses ESS for competitive
intelligence global buying trends can be shared
with manufacturers, distributors, sales
representatives to get latest products to
customer before selling season begins
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EXECUTIVE SUPPORT IN THE ENTERPRISE
Executive Support Systems and the Digital Firm
(Continued)
- Verizon Communications and Pharmacia Corporation
Monitoring corporate performance with Digital
Dashboards and Balanced Scorecard Systems - Roadway Express Enterprise-Wide Reporting and
Analysis
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MANAGEMENT OPPORTUNITIES, CHALLENGES AND
DECISIONS
Management Opportunities
- Decision-support systems provide opportunities
for increasing precision, accuracy, and rapidity
of decisions and thereby contributing directly to
profitability
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MANAGEMENT OPPORTUNITIES, CHALLENGES AND
DECISIONS
Management Challenges
- Building systems that can actually fulfill
Executive Information Requirements - Changing management thinking to make better use
of systems for decision support - Organizational resistance
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MANAGEMENT OPPORTUNITIES, CHALLENGES AND
DECISIONS
Solution Guidelines
Flexible Design and Development
- Users must work with IS specialists to identify a
problem and a specific set of capabilities that
will help them arrive at decisions about the
problem. - The system must be flexible, easy to use, and
capable of supporting alternative decision
options.
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MANAGEMENT OPPORTUNITIES, CHALLENGES AND
DECISIONS
Solution Guidelines (Continued)
Training and Management Support
- User training, involvement, and experience top
management support and length of use are the
most important factors in the success of
management support systems.