Information System Overview 2110213 Information System Organization - - PowerPoint PPT Presentation

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Information System Overview 2110213 Information System Organization - - PowerPoint PPT Presentation

Information System Overview 2110213 Information System Organization Natawut Nupairoj, Ph.D. Department of Computer Engineering Chulalongkorn University IS Overview Natawut Nupairoj, Ph.D. 1 Outline Basic Terminologies Data /


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IS Overview Natawut Nupairoj, Ph.D. 1

Information System Overview

2110213 Information System Organization Natawut Nupairoj, Ph.D. Department of Computer Engineering Chulalongkorn University

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IS Overview Natawut Nupairoj, Ph.D. 2

Outline

Basic Terminologies

Data / Information / Knowledge IS & IT Infrastructure

Case Studies IT Infrastructure

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Defining the Terms

Data: (source: Webster Online Dictionary)

1 : factual information (as measurements or statistics) used as a basis for reasoning, discussion, or calculation 2 : information output by a sensing device or organ that includes both useful and irrelevant or redundant information and must be processed to be meaningful 3 : information in numerical form that can be digitally transmitted or processed

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IS Overview Natawut Nupairoj, Ph.D. 4

Defining the Terms

Information: (source: Webster Online Dictionary)

a (1) : knowledge obtained from investigation, study, or instruction (2) : INTELLIGENCE, NEWS (3) : FACTS, DATA b : the attribute inherent in and communicated by one of two or more alternative sequences or arrangements of something (as nucleotides in DNA or binary digits in a computer program) that produce specific effects c (1) : a signal or character (as in a communication system) representing data (2) : something (as a message, experimental data, or a picture) which justifies change in a construct (as a plan or theory) that represents physical

  • r mental experience or another construct

d : a quantitative measure of the content of information; specifically : a numerical quantity that measures the uncertainty in the outcome of an experiment to be performed

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Information Abstraction

Information Data

Knowledge

Call Detail Records Calling Patterns Caller Behaviors

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Size of Information

How much computer storage is needed?

Bits, bytes, kilobytes, megabyte, terabyte, petabytes

Examples:

Library of Congress: 3 PB

20 TB for Books (20M books) 13 TB for Photographs (13M photographs) 200 TB for Maps (4M maps) 500 TB for Movies (500K Movies) 2,000 TB for CDs (3.5M sound recordings)

NASA Satellite Image DL: collection of 2 TB/day

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Most common information today?

Data records

Structured data

Text, web pages, documents

Unstructured, or semi-structured data

Images, video, music, voice,….

Multimedia data, multimedia documents

Spatial/geographic data

Maps, spatial analysis data, census data, etc.

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What is Information System ?

“Application or system that provides information to aid organizational decision making.”

Example:

Student registration system. Classroom reservation system. Gamer logging and reporting system.

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IS Overview Natawut Nupairoj, Ph.D. 9

  • Hardware
  • Software
  • Databases
  • Networks
  • Other related components

INFORMATION TECHNOLOGIES

INFORMATION SYSTEMS

Customer Service System Marketing System Inventory System Payroll System

IS vs. IT

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Types of Information System

By coverage

Personal, work-group, enterprise-wide

By types of decision

Operational, tactical, strategic

By business functions

Marketing, operation, accounting, HR

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Case Study #1

Personal Information System Information

  • Address book
  • Calendar
  • Bank accounts, bills
  • Class schedule
  • Email
  • Homework, labs
  • Travel booking system, maps, places
  • Friends, photos, music

Computer infrastructure

  • Home and lab computers, PDA, mobile phone, camera, backup, ipod
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Case Study #2

WWW-based E-commerce system: (Think Amazon!) Massive amounts of products

  • Search, update, pricing
  • Internal ordering and supply chain management

Integration of third party sellers Customer database system Ordering system, deliver systems Recommendation system Scalability, and availability

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Case Study #3

NASA Earth Science Data Enterprise

  • Several satellites, each with several remote sensing instruments

collecting raw data (2 TB/day)

  • Data storage and post-processing at NASA Distributed Active Archive

Centers (DAAC)

  • Data Analysis and Feature Extraction by scientists
  • Integration with other geographical and environmental data
  • Usage for precision agriculture