Decision Support And Business Intelligence Systems 9th Edition Pdf

Decision Support And Business Intelligence Systems 9th Edition Pdf – Decision Support and Business Intelligence Systems (9th ed., Practice Hall) Chapter 3: Decision Support Systems Concepts, Techniques, and Technologies: An Overview

2 Learning Objectives Understand the possible configurations of a decision support system (DSS) Understand the main differences and similarities between DSS and BI systems Describe the features and capabilities of a DSS Understand the basic definitions of a DSS Understand the important classifications of a DSS Understand the components of a DSS and how they are integrated

Decision Support And Business Intelligence Systems 9th Edition Pdf

3 Learning Objectives Describe the components and structure of each DSS component.

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Three main components of the technologies used to support management-decision-making DSS Data Model User Interface (+ optional) Knowledge Available

There are many differences; Usually hosted online Trade managed by specialized software Typical types: Model-oriented DSS Data-oriented DSS

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Designed to support management decision makers in semi-structured and unstructured decision situations, the system is intended to supplement (enhance, but not replace) decision makers to refer to decision requests or decisions not fully supported by algorithms. may be computer-based; interactive work; and has graphics output capabilities…

11 Description of a DSS A DSS is usually developed to support the solution of a problem (or to evaluate a particular point in time). This is the main difference between DSS and BI software, BI systems monitor situations and identify problems and/or opportunities using various analytical methods. has its own database and models

12 Description of DSS DSS is a decision support method (or methodology) using an interactive, flexible, adaptive computer-based information system (CBIS) designed (by the end user) to support the solution of a specific unstructured management problem. , with a friendly (often graphical; web-based) user interface, models and knowledge contain the decision-maker’s own views, supporting all stages of a decision that can be used by a single user or by many people.

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DSS BI Not very similar to DSS A DSS typically includes a BI application that focuses on solving a specific problem and reporting and identifying problems by scanning data stored in databases. Both systems often include analysis tools (business analytics called BI. systems) Although some work locally as spreadsheets, DSS and BI use the Web.

Business analytics refers to the use of models and data to improve an organization’s performance and/or competitive position Web analytics refers to the use of business analytics on real-time web data to aid decision making; Predictive analytics, often associated with e-commerce, describes the business analytics approach of anticipating problems and opportunities rather than reporting them as they arise.

Personal, group and organizational support Group support systems (GSS) and customized support systems versus off-the-shelf systems.

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Text-oriented DSS Database-oriented DSS. Spreadsheet-based DSS Solver-based DSS Rule-oriented DSS (including multiple knowledge-based DSS, data mining, management and ES applications) Complementary DSS

Text-Oriented DSS Database-Oriented DSS Spreadsheet-Oriented DSS Solution-Oriented DSS Rule-Oriented DSS (including multiple DSS, data mining, management, and ES applications) Composite DSS

A Database Management System (DBMS) includes a database Database Model Management Subsystem Model Database Management System (MBMS) User Interface Subsystem Knowledge Base Management Subsystem Organizational Knowledge Base

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Easy access to data/models/knowledge Proper management of organizational experiences and knowledge Easy-to-use, adaptable and flexible GUI Provide timely, accurate, concise, consistent support for decision-making, support where and when needed – See Table 3.2 for complete list. ..

Impact of Web on DSS Data management through Web servers Easy access to different models, devices User interface (browsers) on PDAs, mobile phones, etc. deployment of… Web Intelligent e-Business / e-Commerce DSS impact Better management of web resources and security,… (see Table 3.3 for more details…)

Data Quality “Garbage in/Garbage in Garbage” (GIGO) Data Integration “Creating a Version of the Truth” During scalable data security, complete,…

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Data quality is not just a system issue, not just data, focus on customer and supplier data, focus on all parts of data: meaning, content and presentation, not just management software, implement data/data quality management processes to ensure accuracy and reliability

Measure the real cost of bad data/data (Not just a percentage) Emphasize process improvement/preventive maintenance, not just data cleaning Improve processes at the source (and therefore data quality) Educate managers about poor data quality and how to do it. improvement Actively change the culture to one that values ​​data quality

Model database (= database?) Model types Strategic models Tactical models Operational models Analytical models Model building blocks Modeling tools

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Create a model using four (4) functional programming languages, DSS tools and/or subroutines, and other building blocks

Application Interface User Interface Graphical User Interface (GUI) DSS User Interface Portal Graphical Icons Control Panel Color Coding PDAs, Mobile Phones, etc.

Intelligence and Experience Learning Components: Expert Systems, Knowledge Management Systems, Neural Systems, Intelligent Agents, Fuzzy Logic, Bowl-Based Reasoning Systems, etc.

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Hardware Improvement Smaller, Faster, Cheaper,… Software/Hardware Improvement Data Warehousing, Data Mining, OLAP, Web Technologies, Integration and Deployment Technologies (XML, Web Services, SOA, Mesh Computing, Cloud Computing,…) AI Integration -> intelligent systems

Manager, decision maker, problem solver,… Users are very different from each other Different organizational roles; mental aptitudes/abilities; Decision-Making Paths (ie, Decision Types) User = Personal vs. Team managers and staff specialists [staff assistants, professional tool users, business analysts (system), facilitator (in GSS)]

A legacy DBMS can consist of mainframe computers with workstations, PCs, or client/server systems Currently implemented as distributed/integrated, interconnected web-based systems Can be sourced from multiple (preferably different) vendors from one vendor .

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We register and share user data with processors to operate this website. To use this website, you must agree to our Privacy Policy, including our Cookie Policy. Decision Support and Business Intelligence Systems (9th Edition, Practice Hall) Chapter 10: Computer Aided Technologies and Team Support Systems

“…work together to achieve an agreed upon goal.” Meetings are a common form of collaboration Why collaborate?

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Waiting to talk to the wrong people Afraid to speak wisely Misunderstanding the problem Incorrect alternatives Ignorance Inefficiency Lack of agreement Lack of focus Collaboration Poor planning Inadequate criteria Hidden agendas Prejudice Conflict Lack of information

15 million official sessions per day? Millions of Informal Sessions/Day 4 Billion Sessions/Year 30-80% Manager Time Fortune 500 Company 3M Corporation Study

No one has… Experiential Learning Resources Insights and Inspiration… doing it alone Bottom line: Collaboration is difficult, expensive, but necessary for today’s organizations.

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Level 3 of Cooperative Ability Low Level 1 Accumulated Work: Uncoordinated Individual Effort Sprinters Level of Joint Effort Level 2 Coordinated Work: Relay of Coordinated Individual Effort Level 3 Concerted Work: Teamwork

Collaborative work Integration or homogenization Resulting in participant education etc. Outcome depends on team composition Outcome depends on decision making Disagreement is resolved by rating or negotiation

Collaborative Needs Modern information technologies provide inexpensive, fast, efficient, and reliable means of supporting Internet/Web communications.

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The Evolution of Communication Messengers Horse-drawn snail telegraph Telephone radio Radio television Video/conferencing Internet/web…

Maximize benefits / reduce loss of cooperation Based on traditional methods, nominal group technique “Private people, Delphi method” under the guidance of a trainer, work alone to generate joint ideas, through structured process questions to collect and disseminate knowledge from the expert group “Electronic Meeting System (EMS)

Benefits of Practice: Parallelism (simultaneous contributions) Large groups can participate Anonymity (encourages equal participation) Focus on impersonal content Trigger (encourages thinking) Synergy (connects ideas) Structure (facilitates problem solving) Record-keeping (encourages organizational memory) Overtime : To make a fire

Decision Support And Business Intelligence Systems, 9th Edition

12-30 networked personal computers Typically connected to a desktop server computer Large screen projection system Breakout rooms Requires a trained facilitator for success

High cost per trained facilitator Requires specialized software for different collaborative tasks Rarely used Different locations/different time needs More than one may be needed

Supported tools and activities: Agenda and other planning activities Brainstorming group Outliner Topic commenter Categorizer Vote for others…

Decision Support And Business Intelligence Systems (9th Edition)

Brainstorming

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