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Instructional Module for the Course COMSCI 2100 (Fundamentals of Database Management System) Module 1: Fundamentals of Information Management Learning Outcomes: Upon completion of this module, students are expected to: 1. Sta...

Instructional Module for the Course COMSCI 2100 (Fundamentals of Database Management System) Module 1: Fundamentals of Information Management Learning Outcomes: Upon completion of this module, students are expected to: 1. State the key concepts of an information management. 2. Explain the importance of efficient information management for the organization's success. 3. Illustrate the importance of databases and their structures. This module provides a fundamental understanding of the processes involved in the collection, organization, storage, and utilization of information within organizations. Given that information is essential in decision-making, organization operations, and strategic planning, competence with information management is important to organizational success. Throughout this module, we will explore key concepts, types of information systems, information lifecycle management, security, and emerging trends, providing you with the foundational knowledge to efficiently manage information. I. Introduction to Information Management Information management involves the efficient collection, organization, storage, and sharing of information to support decision-making and operational processes. In the contemporary data-centric environment, good information management is essential for ensuring accessibility, security, and accuracy. Concept of Information Management Information Management (IM) is the systematic approach of collecting, storing, organizing, and sharing information to ensure its accuracy, security, and accessibility. Components of Information Management  People. Individuals who create, manage, and utilize information, including data managers, IT personnel, and decision-makers.  Processes. Procedures for data management, covering collection to preservation.  Technology. Tools such as databases, cloud platforms, and software systems utilized for the management and storage of information. Information Systems An information system (IS) integrates people, processes, and technology in order to collect, store, organize, and share data and information. Types of Information Systems  Transaction Processing Systems (TPS). Systems that manage daily commercial transactions (e.g., sales and purchases). TPS guarantees the seamless implementation of standard operations.  Management Information Systems (MIS). These systems assist managers in decision-making by delivering regular, summary reports on corporate activities, such as sales performance and inventory levels.  Decision Support Systems (DSS). DSS facilitates intricate decision-making through data analysis and the presentation of potential outcomes (e.g., market trends, financial forecasts).  Enterprise Resource Planning (ERP) Systems. ERP consolidates various aspects of an organization (e.g., finance, human resources, and procurement) into a cohesive system to optimize procedures.  Knowledge Management Systems (KMS). KMS systematically collects and structures an organization's knowledge repository, enhancing accessibility to information and expertise. Information Management Strategies  Strategic Planning for Information Systems. Implementing IM strategies with organizational goals guarantees that information systems support the overall organizational plan.  Information Governance. Establishes policies and procedures to efficiently manage data, maintaining information quality and compliance to regulations.  Data Quality Management. Concentrates on ensuring that the information used in organizational processes is accurate, consistent, and reliable.  Cloud Computing and Information Management. Utilizes cloud platforms to offer scalable, cost-effective storage and data access, providing flexibility and efficiency. Importance of Efficient Information Management for Organizational Success  Improved Decision-Making. Accurate, timely data leads to better decision- making at all levels of the organization.  Increased Productivity. Well-managed data reduces duplication, minimizes errors, and saves time.  Cost Savings. Efficient data management reduces the operational expenses by maximizing resource utilization.  Competitive Advantage. Organizations that manage information effectively can respond faster to market changes and make informed decisions. 2 |Page Emerging Trends in Information Management  Big Data and Analytics. The use of large, complex data sets to uncover trends, patterns, and insights that facilitate decision-making.  Artificial Intelligence and Machine Learning. Automating data processing and analysis to develop intelligent systems that can learn and adapt to new information.  Internet of Things. The integration of physical devices with information systems enables immediate data collection and monitoring to improve decision-making. Ethical Considerations in Information Management  Information Security. Protects data against unauthorized access, breaches, and cyber threats using encryption, firewalls, and secure authentication procedures.  Ethics in Information Management. It involves the responsible management of data, maintaining privacy, and ensuring the ethical application of information, particularly in decision-making and data sharing.  Legal Compliance. Covers laws such as the General Data Protection Regulation (GDPR) and the Data Privacy Act, assuring organizational compliance with data protection laws and standards. Information Lifecycle Management Information Lifecycle Management (ILM) is defined by the stages that information passes over the organization. ILM is centrally managed (placing their information assets collectively), optimized approach (assigning resources based on the business value of data), heterogeneous (handles a wide range of data), and employs a policy-based methodology that offers a standardized, centralized framework for data management. Phases of Information Lifecycle Management  Data Creation. Methods in gathering data including surveys, transaction records, and automated data acquisition systems.  Data Storage. Data is organized strategically for efficient access and retrieval, commonly using databases and cloud storage systems.  Data Retrieval. Data can be easily accessed to help decision-making through the utilization of search features, queries, and reporting tools. 3 |Page   Data Usage. This includes processing activities that transform data into information, as well as facilitating viewing, alteration, and saving of documents. It covers the methods of data sharing and required digital rights protection.  Data Retirement. Data grows significantly over time, necessitating the preservation of certain portions from a current production environment. An organization may choose to archive or remove particular data after it becomes outdated or reaches the end of its lifecycle. Certain compliance laws require the establishment of a period of retention for certain types of data. References  Laudon, K. C., & Laudon, J. P. (2020). Management Information Systems: Managing the Digital Firm (16th Edition). Pearson.  Stair, R. M., & Reynolds, G. W. (2019). Principles of Information Systems (13th Edition). Cengage Learning.  Turban, E., Pollard, C., & Wood, G. (2018). Information Technology for Management: On-Demand Strategies for Performance, Growth, and Sustainability (11th Edition). Wiley.  ISO/IEC 27002:2013. (2013). Information technology — Security techniques — Code of practice for information security controls.  Goodhue, D. L., & Thompson, R. L. (1995). Task-Technology Fit and Individual Performance. MIS Quarterly, 19(2), 213–236.  Association for Computing Machinery (ACM). (2017). Code of Ethics and Professional Conduct. 4 |Page