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Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

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Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.
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Page 1: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

Chapter 12: Enhancing

Decision Making

Dr. Andrew P. Ciganek, Ph.D.

Page 2: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

Business Value of Improved Decision Making

• Improving hundreds of thousands of “small” decisions adds up to large annual value

• Types of decisions– Unstructured: Decision maker must provide

judgment, evaluation, and insight to solve problem

– Structured: Repetitive and routine; involve definite procedure for handling so they do not have to be treated each time as new

– Semistructured: Only part of problem has clear-cut answer provided by accepted procedure

Page 3: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

Decision Making and IS

• Senior managers– Make many unstructured decisions

• e.g., Should we enter a new market?

• Middle managers– Make more structured decisions but these may

include unstructured components• e.g., Why is the order fulfillment report showing a

decline in Minneapolis?

• Operational managers, rank and file employees– Make more structured decisions

• e.g., Does customer meet criteria for credit?

Page 4: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

Four Stages of Decision Making

• Intelligence– Discovering, identifying, and understanding the

problems occurring in the organization

• Design– Identifying and exploring solutions to the problem

• Choice– Choosing among solution alternatives

• Implementation– Making chosen alternative work and continuing to

monitor how well solution is working

Page 5: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

IS Can Only Assist in Some of the Roles Played by Managers

• Classical model of management– Five functions of managers

• Planning, organizing, coordinating, deciding, and controlling

• More contemporary behavioral models – Actual manager behavior appears less systematic,

more informal, less reflective, more reactive, and less well organized than in classical model

– Mintzberg’s behavioral model of managers defines 10 managerial roles falling into 3 categories

Page 6: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

Mintzberg’s Managerial Roles

• Interpersonal roles: Figurehead, Leader, Liaison• Informational roles: Nerve center, Disseminator,

Spokesperson• Decisional roles: Entrepreneur, Disturbance

handler, Resource allocator, Negotiator

Page 7: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

Why IT Doesn’t Always Produce Positive Results

• Information quality– High-quality decisions require high-quality info

• Management filters– Managers have selective attention and have variety

of biases that reject information that does not conform to prior conceptions

• Organizational culture– Strong forces within organizations resist making

decisions calling for major change

Page 8: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

High Velocity Automated Decision Making

• Possible with computer algorithms precisely defining steps for a highly structured decision

• Humans taken out of decision– e.g., High-speed computer trading programs

• Trades executed in 30 milliseconds• Responsible for “Flash Crash” of 2010

Page 9: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

Business Intelligence

• Infrastructure for collecting, storing, analyzing data produced by business– Databases, data warehouses, data marts

• Business analytics– Tools and techniques for analyzing data

– OLAP, statistics, models, data mining

Page 10: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

Examples of BI Applications

• Predictive analytics– Use patterns in data to predict future behavior

– e.g., Credit card companies use predictive analytics to determine customers at risk for leaving

• Data visualization– Help users see patterns and relationships that would

be difficult to see in text lists

• Geographic information systems (GIS)– Ties location-related data to maps

Page 11: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

EveryBlock – Chicago

• Narcotics (drug) reports for past 12 months

Page 12: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

Decision Support Systems

• Allow varied types of analysis– “What-if” analysis

– Sensitivity analysis

– Multidimensional analysis / OLAP• e. g., pivot tables

Page 13: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

Sensitivity Analysis

• “What happens to break-even point if sales price and cost to make each unit increase or decrease?”

Page 14: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

Pivot Table

Page 15: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

What to Sell? Charge? Ask Data:‘For’ and ‘Against’ Exercise

1. Read the article and the following statement.

2. Summarize the best evidence you can give FOR, or in support of, the statement.

3. Summarize the best evidence you can give AGAINST the statement.

4. Include only accurate evidence

• To remain competitive, organizations must analyze sales patterns and create ‘pricing profiles’.

Page 16: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

Decision Support for Senior Management

• Help executives focus on important performance information

• Balanced scorecard method:– Measures outcomes on four dimensions:

• Financial• Business process• Customer• Learning & growth

– Key performance indicators (KPIs) measure each dimension

Page 17: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

Balanced Scorecard Framework

Page 18: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

Group Decision-Support Systems (GDSS)

• Interactive, computer-based systems that facilitate solving of unstructured problems by set of decision makers

• Used in conference rooms with special hardware and software for collecting, ranking, storing ideas and decisions

• Promote a collaborative atmosphere by guaranteeing contributors’ anonymity

• Support increased meeting sizes with increased productivity

Page 19: Chapter 12: Enhancing Decision Making Dr. Andrew P. Ciganek, Ph.D.

UWM GDSS Meeting Room


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