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Overview of Decision Support Systems: Configurations, Components, and Integration

This chapter provides a comprehensive overview of Decision Support Systems (DSS) designed to aid managerial decision-making in unstructured problems. It covers the configurations, characteristics, and capabilities of DSS, detailing the essential components such as data management, model management, and user interfaces. The interaction between DSS and the web is explored, highlighting the implications for data collection and communication. Additionally, it emphasizes the role of Business Intelligence in accelerating decisions and enhancing information flow, making it a vital tool for modern organizations.

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Overview of Decision Support Systems: Configurations, Components, and Integration

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  1. Chapter 3Decision Support Systems:An Overview ا. محمد شبير

  2. Learning Objectives • Understand DSS configurations. • Learn characteristics and capabilities of DSS. • Understand DSS components. • Describe structure of DSS components. • Understand how DSS and the Web interact. • Learn the role of the user in DSS. • Understand DSS hardware and integration. • Learn DSS configurations.

  3. Decision Support Systems • Systems designed to support managerial decision-making in unstructured problems • More recently, emphasis has shifted to inputs from outputs • Mechanism for interaction between user and components • Usually built to support solution or evaluate opportunities

  4. DSS • A DSS is a methodology that supports decision-making. • It is: • Flexible; • Adaptive; • Interactive; • GUI-based; • Iterative; and • Employs modeling.

  5. Business Intelligence • Proactive • Accelerates decision-making • Increases information flows • Components of proactive BI: • Real-time warehousing • Exception and anomaly (irregularity) detection • Proactive alerting with automatic recipient determination

  6. Components of DSS • Subsystems: • Data management • Managed by DBMS • Model management • Managed by MBMS • User interface • Knowledge Management and organizational knowledge base

  7. Data Management Subsystem • Components: • Database • Database management system • Data directory • Query facility

  8. Database • Interrelated data extracted from various sources, stored for use by the organization, and queried • Internal data • External data from government agencies, trade associations, market research firms, forecasting firms • Private data or guidelines used by decision-makers

  9. Database Management System • Extracts data • Manages data and their relationships • Updates (add, delete, edit, change) • Retrieves data (accesses it) • Queries and manipulates data • Employs data dictionary

  10. Model Management Subsystem • Components: • Model base • Model base management system • Modeling language • Model directory • Model execution, integration, and command processor

  11. Models • Strategic • Supports top management decisions • Tactical • Used primarily by middle management to allocate resources • Operational • Supports daily activities • Analytical • Used to perform analysis of data

  12. Model Base Management System • Functions: • Model creation • Model updates • Model data manipulation • Generation of new routines • Model directory: • Catalog of models • Definitions

  13. Model Management Activities • Model execution • Controls running of model • Model command processor • Receives model instructions from user interface • Routes instructions to MBMS or module execution or integration functions • Model integration • Combines several models’ operations

  14. DSS Hardware • Web server with DBMS: • Operates using browser • Data stored in variety of databases • Can be mainframe, server, workstation, or PC • Any network type • Access for mobile devices

  15. Web and DSS • Data collection • Communications • Collaborations • Download capabilities • Run on Web servers • Simplifies integration problems • Increased usability features

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