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 Birth ➔ Age
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 datastored 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