Cis330. Mostafa Z. Ali

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Fall 2009 Lecture 1 Cis330 Decision Support Systems and Business Intelligence Mostafa Z. Ali mzali@just.edu.jo Lecture 2: Slide 1

Changing Business Environments and Computerized Decision Support The business pressures responses support model The business environment Organizational responses: be reactive, anticipative, adaptive, and proactive Computerized support Lecture 2: Slide 2

Managerial Decision Making The nature of managers work Interpersonal Informational Decisional Lecture 2: Slide 3

Managerial Decision Making

Managerial Decision Making The process of decision making 1. Defining the problem (a decision situation that may deal with some difficulty or with an opportunity) 2. Constructing a model that describes the real world problem 3. Identifying possible solutions to the modeled problem and evaluating the solutions 4. Comparing, choosing, and recommending a potential solution to the problem Lecture 2: Slide 5

Managerial Decision Making Decision support systems (DSS) A conceptual framework for a process of supporting managerial decision making, usually by modeling problems and employing quantitative models for solution analysis Lecture 2: Slide 6

Computerized Support for Decision Making Why use computerized decision support systems Speedy computations Improved communication and collaboration Increased productivity of group members Improved data management Managing giant data warehouses Lecture 2: Slide 7

Computerized Support for Decision Making Why use computerized decision support systems Quality support Agility support Overcoming cognitive limits in processing and storing information Using the Web Anywhere, anytime support Lecture 2: Slide 8

Computerized Support for Decision Cognitive limits Making The limitations of the human mind related to processing information Lecture 2: Slide 9

An Early Framework for Computerized Decision Support

An Early Framework for Computerized Decision Support Degree of structuredness Four phase decision making process Intelligence Design Choice Implementation Lecture 2: Slide 11

An Early Framework for Computerized Decision Support

An Early Framework for Computerized Decision Support Types of control in all managerial activities Strategic planning Management control Operational control The decision support matrix For semistructured decisions and unstructured decisions, conventional MIS and MS tools are insufficient Decision support systems (DSS) are used Lecture 2: Slide 13

An Early Framework for Computerized Decision Support Computer support for structured decisions Management science (MS) or operations research (OR) The application of a scientific approach and mathematical models to the analysis and solution of managerial decision situations (e.g., problems, opportunities) Lecture 2: Slide 14

An Early Framework for Computerized Decision Support Computer support for structured decisions Automated decision systems (ADS) A business rules based system that uses intelligence to recommend solutions to repetitive decisions (such as pricing)..we will cover this in more details for the second exam material (NASA CLIPS). Lecture 2: Slide 15

An Early Framework for Computerized Decision Support

An Early Framework for Computerized Decision Support Computer support for unstructured decisions Customized solutions intuition and judgment Computerized communication and collaboration technologies Knowledge management Lecture 2: Slide 17

An Early Framework for Computerized Decision Support Computer support for semistructured problems A combination of both standard solution procedures and human judgment Management Science can provide models for the structured portion For the unstructured portion, a DSS can improve the quality of the information on which the decision is based by providing a range of alternative solutions along with their potential impacts Lecture 2: Slide 18

An Early Framework for Computerized Decision Support The benefits of computerized decision support Companies work in an unstable or rapidly changing economy. There are difficulties in tracking the numerous business operations. Competition has increased especially global competition. Electronic commerce is changing the ways business is done. Existing information systems do not fully support decision making. Lecture 2: Slide 19

An Early Framework for Computerized Decision Support The benefits of computerized decision support The Information systems department is too busy to address all of management s inquiries. Special analysis of profitability and efficiency is needed. Accurate information is needed. Computerized support is viewed as an organizational winner. New information is needed. Lecture 2: Slide 20

An Early Framework for Computerized Decision Support The benefits of computerized decision support Management mandates computerized decision support. Higher decision quality is needed. Improved communication. Improved customer and employee satisfaction. Timely information is provided. Cost reduction is achieved. Employees productivity has been improved. Lecture 2: Slide 21

The Concept of Decision Support Systems (DSS) DSS as an Umbrella term: Describes any computerized system that supports decision making in an organization DSS as a specific application The architecture of DSS Data Models manipulate data as related to a specific situation Knowledge component Users User interface Lecture 2: Slide 22

The Concept of Decision Support Systems (DSS)

The Concept of Decision Support Types of DSS Systems (DSS) model oriented DSS: quantitative models used to generate a recommended solution to a problem data oriented DSS: support ad hoc reporting and queries Lecture 2: Slide 24

A Framework for Business Intelligence (BI) Business intelligence (BI) An umbrella term that combines architectures, tools, databases, applications, and methodologies Evolution of BI Lecture 2: Slide 25

A Framework for Business Intelligence (BI)

A Framework for Business Intelligence (BI) BI architecture Data warehouse Business analytics Performance management (BPM) Lecture 2: Slide 27

A Framework for Business Intelligence (BI)

A Framework for Business Intelligence (BI) Data warehouse Originally, included historical data that were organized and summarize, so end users could easily view or manipulate data and information Today, some data warehouses include current data as well, so they can provide real time decision support Lecture 2: Slide 29

A Framework for Business Intelligence (BI) Business analytics Reporting and queries Advanced analytics Data, text and Web mining and other sophisticated mathematical and statistical tools Lecture 2: Slide 30

A Framework for Business Intelligence (BI) Data mining A process of searching for unknown relationships or information in large databases or data warehouses, using intelligent tools such as neural computing, predictive analytics techniques, or advanced statistical methods Lecture 2: Slide 31

A Framework for Business Intelligence (BI) Business performance management (BPM) An advanced performance measurement and analysis approach that embraces planning and strategy BPM extends the monitoring, measuring, and comparing of sales, profit, cost, profitability, and other performance indicators by introducing the concept of management and feedback BPM provides a top down enforcement of corporate wide strategy Lecture 2: Slide 32

A Framework for Business Intelligence (BI) Business performance management User interface Dashboard A visual presentation of critical data for executives to view. It allows executives to see hot spots in seconds and explore the situation Dashboards integrate information from multiple business areas Visualization tools Lecture 2: Slide 33

A Framework for Business Intelligence (BI) Styles of BI 1. Report Delivery and Alerting 2. Enterprise Reporting (dashboard, scorecard) 3. Cube Analysis (Slice and Dice Analysis) 4. Ad hoc Query 5. Statistics and Data Mining Lecture 2: Slide 34

A Framework for Business Intelligence (BI) Benefits of BI Faster, more accurate reporting Improved decision making Improved customer service Increased revenue Lecture 2: Slide 35

A Framework for Business Intelligence (BI) The DSS BI connection 1. The architecture is very similar since BI evolved from DSS 2. DSS are constructed to directly support specific decision making; BI systems are geared to provide accurate and timely information (indirect support) 3. BI has an executive and strategy orientation while DSS has been oriented toward analysts Lecture 2: Slide 36

A Framework for Business Intelligence (BI) The DSS BI connection 4. BI systems are constructed with commercially available tools and components that are fitted to the needs of organizations; DSS more programming is used to construct custom solutions to very unstructured problems 5. DSS were developed mostly in the academic world; BI were developed mostly by software companies 6. Many tools used by BI are also considered DSS tools (e.g., data mining and predictive analysis ) Lecture 2: Slide 37

A Framework for Business Intelligence (BI) Management support systems (MSS) A system that applies any type of decision support tool or technique to managerial decision making Lecture 2: Slide 38

A Work System View of Decision Support Work system A system in which human participants and/or machines perform a business process using information, technology, and other resources to produce products and/or services for internal or external customers Lecture 2: Slide 39

A Work System View of Decision Support Nine elements of a work system 1. Business process 2. Participants 3. Information 4. Technology 5. Product and services 6. Customers 7. Infrastructure 8. Environment 9. Strategy Lecture 2: Slide 40

The Major Tools and Techniques of Managerial Decision Support Computerized Tools for Decision Support Data management Reporting status tracking Visualization Business analytics Strategy and performance management Communication and collaboration Knowledge management Intelligent systems Enterprise systems

The Major Tools and Techniques of Managerial Decision Support Tools Web connection All of these tools are available in both web based and non web based formats Hybrid (integrated) support systems A support system that uses several tools and techniques to assist management in solving managerial or organizational problems and assess opportunities and strategies Lecture 2: Slide 42

Implementing Computer Based Managerial Decision Support Systems Developing or acquiring support systems Justification and cost benefit analysis Security and protection of privacy Integration of systems and applications The Web in DSS/BI implementation Information portals and MSS Lecture 2: Slide 43