JARA_JONA_CC105.pdf

Information Management 1. What is Information Management Information management (IM) is primarily concerned with the capture, digitization, representation, organization, transformation, and presentation of information. Because a computer's main memory provid...

Information Management 1. What is Information Management Information management (IM) is primarily concerned with the capture, digitization, representation, organization, transformation, and presentation of information. Because a computer's main memory provides only temporary storage, computers are equipped with auxiliary disk storage devices that permanently store data. 2.Differentiate Data, Information, and Knowledge: Data Is the representation of facts. Refers to sets of symbols (textual, visual, audio) that may have some generic meaning or no meaning. Data refers to raw, unprocessed facts and figures without any context or interpretation. Examples include numbers, dates, or measurements. Information refers to data with specific meaning. Usually implies putting data in some context (sentence, other data). Knowledge Knowledge is the application of information to create understanding and insight. It involves human experience, analysis, and expertise to interpret information. 3.What is Data Management Data Management is the practice of collecting, organizing, protecting, and storing data in a way that makes it accessible and useful for an organization. It includes various processes such as data governance, data quality management, data storage, data security, and data lifecycle management. Effective data management ensures that data is reliable, available for decision-making, and protected from misuse or loss. 4.How is Data Processed to Make it Valuable? Data is processed through several steps to make it valuable: Data Collection: Gathering raw data from various sources. Data Cleansing: Removing errors, inconsistencies, and duplicates to ensure data quality. Data Organization: Structuring data into databases, spreadsheets, or other formats that allow easy retrieval and analysis. Data Analysis: Applying techniques to interpret the data, identify trends, or derive insights. Data Visualization: Presenting data in a clear, visually comprehensible format (e.g., charts, graphs) to support decision-making. Contextualization: Relating data to real-world situations to provide actionable information and ultimately create knowledge. 5.What are the Challenges of Information Management? Common challenges of information management include: Data Overload: The sheer volume of data can overwhelm organizations, making it difficult to identify valuable information. Data Quality Issues: Incomplete, inaccurate, or outdated data can hinder decision-making. Security and Privacy Risks: Protecting sensitive data from breaches, leaks, and unauthorized access. Integration of Systems: Difficulty in integrating disparate systems and platforms to ensure consistent information flow. Compliance with Regulations: Adhering to laws and standards related to data protection, such as GDPR, while managing information. Information Silos: Isolated systems or departments that do not share information efficiently across an organization. Cost and Resource Allocation: Managing information efficiently can be costly and resource-intensive. Balancing these demands is a common challenge.