Information Management (Module 1)

Cards (80)

  • Information System:
    • A set of interrelated components that collect, manipulate, store data and disseminate information
    • Provides a feedback mechanism to monitor performance
    • An organized combination of people, hardware, software, communications networks, and data resources that collects data, transforms it, and disseminates information
  • Data:
    • Facts concerning objects and events that could be recorded and stored on computer media
    • Examples include customer name, address, and telephone number
    • Structured data: numbers, text, dates
    • Unstructured data: images, video, documents
    • Data are stored representations of objects and events that have meaning and importance in the user's environment
  • Data vs Information:
    • Data are plain facts
    • When data are processed, organized, structured, or presented in a given context to make them useful, they are called Information
    • Data themselves are fairly useless, but when interpreted and processed to determine their true meaning, they become useful and can be called Information
  • Information Processing:
    • Process Date of BirthAge
    • Process Name ➔ Surname
    • Process Address ➔ City
    • Process Salary (all) ➔ Highest paid employee
    • Process all ➔ No of employees
    • Process all ➔ Employees working for Sales division
  • Data in context:
    • Graphical displays turn data into useful information for decision making and interpretation
  • Steps in converting data into information:
    1. Acquisition
    2. Storage
    3. Manipulation
    4. Retrieval
  • Metadata:
    • Data that describes the properties and context of user data
    • Descriptions of the properties or characteristics of the data, including data types, field sizes, allowable values, and data context
  • Data Manipulation:
    • Retrieval, insertion, deletion, and modification of information stored in the database
    • Data-manipulation language enables users to access or manipulate data as organized by the appropriate data model
    • Two types of data-manipulation languages: Procedural and Nonprocedural
  • Database Management System (DBMS):
    • A set of programs used to define, administer, and process the database and its applications conveniently and efficiently
    • Manages the storage and retrieval of data, and provides the user with certain functionalities to guarantee that the data will be logically organized and consistently applied
  • Computer Database:
    • A structured collection of records or data stored in a computer system
    • A means to manipulate data in a useful way, providing proper storage for large amounts of data, easy and fast access, and facilitating the processing of data
    • An organized collection of related information or data stored on a computer disk for easy, efficient use
  • Data Hierarchy:
    • File
    • Record
    • Field
    • Byte
    • Bit
  • General Information Systems Diagram:
    • Data Input
    • Feedback
    • Control
    • Information Management
    • Decisions
    • Output Process (Environment)
  • Information storage is the systematic process of collecting and cataloging data so that they can be located and displayed on request
  • Computers and data processing techniques have made it possible to access high-speed and large amounts of information for government, commercial, and academic purposes
  • Information storage can refer to a place like a storage room where paper records are kept or a storage device such as a computer hard disk, CD, DVD, or similar device
  • Types of Information Storage Media:
    • Hard Drive
    • Floppy Disk
    • CD & DVD
    • USB Flash Drive
  • An information retrieval system is used to store items of information that need to be processed, searched, retrieved, and disseminated to various user populations
  • Major Components of Information Retrieval:
    • Database: a system used to record and maintain information
    • Search mechanism: information organized systematically that can be searched and retrieved when a corresponding search mechanism is provided
    • Language: information relies on language when being processed, transferred, or communicated
    • Interface: determines the success of a system for information retrieval
  • Retrieval Techniques:
    Basic Retrieval Techniques:
    • Boolean Searching
    • Case sensitivity searching
    • Truncation
    • Proximity searching
    • Range searching
    Advanced Retrieval Techniques:
    • Fuzzy searching
    • Query expansion
    • Multiple databases searching
  • Boolean Searching:
    • AND operator for narrowing down a search
    • OR operator for broadening a search
    • NOT operator for excluding unwanted results
  • Case Sensitivity Searching:
    • Text can exhibit case sensitivity, where words can differ in meaning based on the use of uppercase and lowercase letters
    • Example: "Bill" vs. "bill"
  • Truncation:
    • Allows a search for all different forms of a word with common roots
    • Uses symbols like ?, *, and # for truncation
    • Options include Left truncation, Right truncation, and middle truncation
  • Proximity Searching:
    • Allows specifying how close two or more words must be to register a match
    • Types include Word proximity, Sentence proximity, and Paragraph proximity
  • Range Searching:
    • Useful with numerical information
    • Options include greater than (>), less than (=), less than or equal to (<=)
  • Fuzzy Searching:
    • Designed to find terms that are spelled incorrectly
    • Helps detect and correct spelling errors resulting from OCR and text compression
  • Query Expansion:
    • Allows the end user to improve retrieval performance by revising search queries based on results already retrieved
  • Multiple Database Searching:
    • Involves searching more than one IR system
    • Useful when a single system may not provide the desired results
    • Can suggest suitable systems for further searches
  • There are several ways to define "information":
    • Subjective: people develop models of their environment
    • Thing/artifact: information captured in books, web pages, or other resources
  • Informetrics:
    • The measurement of information stored and used for decision making
  • Information Age:
    • We have entered the information age where most things will be recorded and indexed
    • Technologies like search, data summarization, and knowledge extraction are key
  • Types of Data Representations:
    • Categories
    • Equations
    • Language
    • Logic statements
    • Images
    • Mental models
  • Consequences of Information:
    • Information can lead to decisions, actions, contemplation, laws, and more information
  • Models of Information Use:
    • Personal models (cognitive)
    • Social models (institutions, groups, nations, commerce)
  • Key Challenges in Information Management:
    • The rate of information growth is increasing exponentially
    • Duplication of data contributes to the increase of information growth
  • Increasing dependency on information:
    • Strategic use of information is crucial for business success and provides competitive advantages
  • Changing value of information:
    • Information's value can change over time, what is valuable today may become less important tomorrow
  • Types of Information Corpus:
    • Files: include letters, memos, reports, spreadsheets, database files, presentations
    • Databases: maintained on different hardware and software platforms
    • Email: important for internal and external business communication
    • Instant Messaging (IM): real-time communication between employees
    • Electronic Publishing: includes printed material and electronic formats like web pages and PDF documents
  • Information Lifecycle:
    • Change in the value of information over time
    • Data is most valuable when first created and used frequently
    • Data becomes less valuable as it ages and is accessed less frequently
    • Understanding the information lifecycle helps in deploying appropriate storage infrastructure
  • Types of Information System:
    • Transaction processing systems (TPSs): focus on data collection and processing, cost reduction, minimal human involvement
    • Business Intelligence System: processes, stores, and provides useful information to users, includes reporting, data mining, and knowledge management
    • Office Information/Automation System: improves productivity of employees processing data and information
    • Management Reporting System: provides business information in the form of reports and statements
    • Decision Support System: aids in decision-making activities that require judgment and determination
    • Executive Information System: assists senior executives in decision-making process with easy access to important data