SlideShare una empresa de Scribd logo
1 de 38
Introduction to Information Technology  Turban, Rainer and Potter  John Wiley & Sons, Inc. Copyright 2005
Data and Knowledge Management Chapter 3 1 “  Copyright 2005 John Wiley & Sons Inc.”
Chapter Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2
Learning Objectives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],3
3.1 Data Management  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],4
Critical Success Factors (CSF) ,[object Object],5
Data Life Cycle  6
Data Sources ,[object Object],[object Object],[object Object],7
Document Management  ,[object Object],[object Object],[object Object],8
3.2 Data Warehousing ,[object Object],[object Object],[object Object],9
Characteristics of a Data Warehouse  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],10
Building a Data Warehouse 11
Relational and Multidimensional Database ,[object Object],12
Data Marts ,[object Object],[object Object],13
3.3 Information & Knowledge Discovery with Business Intelligence   ,[object Object],14
How Business Intelligence works? 15
The Tools and techniques of business intelligence  ,[object Object],[object Object],[object Object],[object Object],16
Categories of business intelligence  17
Knowledge Discovery (KD)  ,[object Object],18
Stage in the evolution of knowledge discovery 19 Proactive , integrative ; multiple business partners  Neural computing advanced al models, complex optimization, web services What is the best plan to follow? how did we perform compared to metrics? Advanced intelligent systems; complete integration(2000-2004) Prospective , proactive information delivery  Advanced algorithms, multiprocessor computers, massive databases  What’s likely to happen to the tBoston unit’s sales next month ? Why?  Intelligent data mining (late 1990s) Retrospective , proactive data delivery at multiple level  OLAP, multidimensional databases, data warehouses What were the sales in region A by product , by salesperson? Data warehousing and decision support (early 1990s)  Retrospective , dynamic data delivery at record level  Relational databases (RDBMS), structured query language (SQL) What were unit sales in new England last March ? Data access (1980s) Retrospective , static data delivery  Computers ,tapes , disks  What was my total revenue in the last 5 years? Data collection(1980s) Business question enabling technologies characteristic  Evolutionary stage
3.4 Data Mining Concepts  ,[object Object],[object Object],[object Object],[object Object],20
Data Mining Application  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],21
Text Mining ,[object Object],[object Object],22
Web Mining  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],23
3.5 Data Visualization Technologies   ,[object Object],24
Geographical Information System (GIS) ,[object Object],25
Visual Interactive Model and Simulation  ,[object Object],[object Object],26
Virtual Reality (VR) ,[object Object],[object Object],27
3.6 Web-based Data Management System 28
3.7 Knowledge Management  ,[object Object],[object Object],29
Knowledge Management (KM) ,[object Object],30
Chief Knowledge Officer (CKO)  ,[object Object],[object Object],31
Knowledge Management cont… ,[object Object],[object Object],[object Object],32
The Knowledge Management System Cycle ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],33
3.8 IT in Knowledge Management   ,[object Object],[object Object],[object Object],34
Technologies  Supporting Knowledge Management   ,[object Object],[object Object],[object Object],35
Seven Knowledge Management Tools 36 Web Sphere; knowledge X Integrate communications, collaboration, and storage technologies  in one complete, out-of- the- box solution  Knowledge management suites  Google: Verity ; Inktomi Locate and retrieve documents from vast collections in corporate repositories .  Search engines Knowledge Mail ; Active Knowledge  Capture organizational knowledge unobtrusively; may be embedded in a knowledge management system. Knowledge –harvesting tools Doc Share; Lotus Notes  Allows users to access needed documents over a corporate intranet; allows electronic collaboration on document creation and revision. Electronic document management  Plum tree; Hyper wave Presents a single access point into a knowledge management system ‘ organizes the sources of unstructured information in an organization . Enterprise knowledge portal  Hummingbird knowledge server; Autonomy’s intelligent data operating layer (IDOL)  Contain the main knowledge management software, including the knowledge repository; provides access to other knowledge information , and data. Knowledge server  Group systems; Lotus Notes / Domino Groupware products; used to enhance tacit knowledge transfer within an organization  Collaboration computing  Vendor/Product Examples Description  Tool
All rights reserved.  Reproduction or translation of this  work beyond that permitted  in section 117 of the United States  Copyright Act without express permission  of the copyright owner is unlawful. Request for information should be addressed to the permission department, John Wiley & Sons, Inc. The purchaser may make back-up copies for his/her own use only and not for distribution or resale. The publisher assumes no responsibility for error, omissions, or damages caused by the use of these programs or from the use of the information herein. Copyright 2005 John Wiley & Sons, Inc.

Más contenido relacionado

La actualidad más candente

BIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIES
BIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIESBIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIES
BIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIESijcsit
 
Introduction to Big Data
Introduction to Big DataIntroduction to Big Data
Introduction to Big DataAkshata Humbe
 
An Organizational Memory and Knowledge System (OMKS): Building Modern Decisio...
An Organizational Memory and Knowledge System (OMKS): Building Modern Decisio...An Organizational Memory and Knowledge System (OMKS): Building Modern Decisio...
An Organizational Memory and Knowledge System (OMKS): Building Modern Decisio...Waqas Tariq
 
Impact of business intelligence on
Impact of business intelligence onImpact of business intelligence on
Impact of business intelligence onijejournal
 
IBM-Infoworld Big Data deep dive
IBM-Infoworld Big Data deep diveIBM-Infoworld Big Data deep dive
IBM-Infoworld Big Data deep diveKun Le
 
Management Information System
Management Information SystemManagement Information System
Management Information SystemTinku Kumar
 
A frame work for data warehouse for nigerian police force
A frame work for data warehouse for nigerian police forceA frame work for data warehouse for nigerian police force
A frame work for data warehouse for nigerian police forceAlexander Decker
 
What is Information System - Miechael 20190700004
What is Information System - Miechael 20190700004What is Information System - Miechael 20190700004
What is Information System - Miechael 20190700004MiechaelMaikel
 
Business Intelligence Module 1
Business Intelligence Module 1Business Intelligence Module 1
Business Intelligence Module 1Home
 
Chap 17 managing information systems and communication technology
Chap 17 managing information systems and communication technologyChap 17 managing information systems and communication technology
Chap 17 managing information systems and communication technologyMemoona Qadeer
 
DATA MINING WITH CLUSTERING ON BIG DATA FOR SHOPPING MALL’S DATASET
DATA MINING WITH CLUSTERING ON BIG DATA FOR SHOPPING MALL’S DATASETDATA MINING WITH CLUSTERING ON BIG DATA FOR SHOPPING MALL’S DATASET
DATA MINING WITH CLUSTERING ON BIG DATA FOR SHOPPING MALL’S DATASETAM Publications
 
Big Data Analytics: Recent Achievements and New Challenges
Big Data Analytics: Recent Achievements and New ChallengesBig Data Analytics: Recent Achievements and New Challenges
Big Data Analytics: Recent Achievements and New ChallengesEditor IJCATR
 
Big data – A Review
Big data – A ReviewBig data – A Review
Big data – A ReviewIRJET Journal
 

La actualidad más candente (18)

uae views on big data
  uae views on  big data  uae views on  big data
uae views on big data
 
BIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIES
BIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIESBIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIES
BIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIES
 
Introduction to Big Data
Introduction to Big DataIntroduction to Big Data
Introduction to Big Data
 
Infographics and big data
Infographics and big dataInfographics and big data
Infographics and big data
 
Data dynamics in IoT Era
Data dynamics in IoT EraData dynamics in IoT Era
Data dynamics in IoT Era
 
An Organizational Memory and Knowledge System (OMKS): Building Modern Decisio...
An Organizational Memory and Knowledge System (OMKS): Building Modern Decisio...An Organizational Memory and Knowledge System (OMKS): Building Modern Decisio...
An Organizational Memory and Knowledge System (OMKS): Building Modern Decisio...
 
Impact of business intelligence on
Impact of business intelligence onImpact of business intelligence on
Impact of business intelligence on
 
IBM-Infoworld Big Data deep dive
IBM-Infoworld Big Data deep diveIBM-Infoworld Big Data deep dive
IBM-Infoworld Big Data deep dive
 
Management Information System
Management Information SystemManagement Information System
Management Information System
 
Gartner Predicts 2018
Gartner Predicts 2018Gartner Predicts 2018
Gartner Predicts 2018
 
A frame work for data warehouse for nigerian police force
A frame work for data warehouse for nigerian police forceA frame work for data warehouse for nigerian police force
A frame work for data warehouse for nigerian police force
 
What is Information System - Miechael 20190700004
What is Information System - Miechael 20190700004What is Information System - Miechael 20190700004
What is Information System - Miechael 20190700004
 
Business Intelligence Module 1
Business Intelligence Module 1Business Intelligence Module 1
Business Intelligence Module 1
 
Chap 17 managing information systems and communication technology
Chap 17 managing information systems and communication technologyChap 17 managing information systems and communication technology
Chap 17 managing information systems and communication technology
 
DATA MINING WITH CLUSTERING ON BIG DATA FOR SHOPPING MALL’S DATASET
DATA MINING WITH CLUSTERING ON BIG DATA FOR SHOPPING MALL’S DATASETDATA MINING WITH CLUSTERING ON BIG DATA FOR SHOPPING MALL’S DATASET
DATA MINING WITH CLUSTERING ON BIG DATA FOR SHOPPING MALL’S DATASET
 
Big Data Analytics: Recent Achievements and New Challenges
Big Data Analytics: Recent Achievements and New ChallengesBig Data Analytics: Recent Achievements and New Challenges
Big Data Analytics: Recent Achievements and New Challenges
 
BVRM 402 IMS UNIT V
BVRM 402 IMS UNIT VBVRM 402 IMS UNIT V
BVRM 402 IMS UNIT V
 
Big data – A Review
Big data – A ReviewBig data – A Review
Big data – A Review
 

Destacado (16)

Tg03
Tg03Tg03
Tg03
 
Ch06
Ch06Ch06
Ch06
 
Ch09
Ch09Ch09
Ch09
 
Tg01
Tg01Tg01
Tg01
 
Ch07
Ch07Ch07
Ch07
 
Ch10
Ch10Ch10
Ch10
 
Ch08
Ch08Ch08
Ch08
 
Ch11
Ch11Ch11
Ch11
 
Ch01
Ch01Ch01
Ch01
 
Ch12
Ch12Ch12
Ch12
 
Ch05
Ch05Ch05
Ch05
 
Ch04
Ch04Ch04
Ch04
 
Ch01
Ch01Ch01
Ch01
 
Ch02
Ch02Ch02
Ch02
 
aaaaaa
aaaaaaaaaaaa
aaaaaa
 
I ch12
I ch12I ch12
I ch12
 

Similar a Ch03

01. Introduction to Data Mining and BI
01. Introduction to Data Mining and BI01. Introduction to Data Mining and BI
01. Introduction to Data Mining and BIAchmad Solichin
 
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docx
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docxProject 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docx
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docxstilliegeorgiana
 
Encrypted Data Management With Deduplication In Cloud...
Encrypted Data Management With Deduplication In Cloud...Encrypted Data Management With Deduplication In Cloud...
Encrypted Data Management With Deduplication In Cloud...Angie Jorgensen
 
Research Method EMBA chapter 12
Research Method EMBA chapter 12Research Method EMBA chapter 12
Research Method EMBA chapter 12Mazhar Poohlah
 
Fundamental Information System.pptx
Fundamental Information System.pptxFundamental Information System.pptx
Fundamental Information System.pptxVincentSai2
 
Notes on Current trends in IT (1) (1).pdf
Notes on Current trends in IT (1) (1).pdfNotes on Current trends in IT (1) (1).pdf
Notes on Current trends in IT (1) (1).pdfKarishma Chaudhary
 
Riding and Capitalizing the Next Wave of Information Technology
Riding and Capitalizing the Next Wave of Information TechnologyRiding and Capitalizing the Next Wave of Information Technology
Riding and Capitalizing the Next Wave of Information TechnologyGoutama Bachtiar
 
Business Intelligence and Analytics .pptx
Business Intelligence and Analytics .pptxBusiness Intelligence and Analytics .pptx
Business Intelligence and Analytics .pptxRupaRani28
 
UNIT 1 -BIG DATA ANALYTICS Full.pdf
UNIT 1 -BIG DATA ANALYTICS Full.pdfUNIT 1 -BIG DATA ANALYTICS Full.pdf
UNIT 1 -BIG DATA ANALYTICS Full.pdfvvpadhu
 
A technical Introduction to Big Data Analytics
A technical Introduction to Big Data AnalyticsA technical Introduction to Big Data Analytics
A technical Introduction to Big Data AnalyticsPethuru Raj PhD
 
Presentation1 (1).pptx
Presentation1 (1).pptxPresentation1 (1).pptx
Presentation1 (1).pptxDat Trinh
 
A Survey on Data Mining
A Survey on Data MiningA Survey on Data Mining
A Survey on Data MiningIOSR Journals
 

Similar a Ch03 (20)

01. Introduction to Data Mining and BI
01. Introduction to Data Mining and BI01. Introduction to Data Mining and BI
01. Introduction to Data Mining and BI
 
3 data mgmt
3 data mgmt3 data mgmt
3 data mgmt
 
AIS 3 - EDITED.pdf
AIS 3 - EDITED.pdfAIS 3 - EDITED.pdf
AIS 3 - EDITED.pdf
 
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docx
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docxProject 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docx
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docx
 
Unit-1 introduction to Big data.pdf
Unit-1 introduction to Big data.pdfUnit-1 introduction to Big data.pdf
Unit-1 introduction to Big data.pdf
 
Unit-1 introduction to Big data.pdf
Unit-1 introduction to Big data.pdfUnit-1 introduction to Big data.pdf
Unit-1 introduction to Big data.pdf
 
Technologies for Information and Knowledge Management (2011)
Technologies for Information and Knowledge Management (2011)Technologies for Information and Knowledge Management (2011)
Technologies for Information and Knowledge Management (2011)
 
Encrypted Data Management With Deduplication In Cloud...
Encrypted Data Management With Deduplication In Cloud...Encrypted Data Management With Deduplication In Cloud...
Encrypted Data Management With Deduplication In Cloud...
 
Ch_02
Ch_02Ch_02
Ch_02
 
Abstract
AbstractAbstract
Abstract
 
Research Method EMBA chapter 12
Research Method EMBA chapter 12Research Method EMBA chapter 12
Research Method EMBA chapter 12
 
Fundamental Information System.pptx
Fundamental Information System.pptxFundamental Information System.pptx
Fundamental Information System.pptx
 
Notes on Current trends in IT (1) (1).pdf
Notes on Current trends in IT (1) (1).pdfNotes on Current trends in IT (1) (1).pdf
Notes on Current trends in IT (1) (1).pdf
 
Riding and Capitalizing the Next Wave of Information Technology
Riding and Capitalizing the Next Wave of Information TechnologyRiding and Capitalizing the Next Wave of Information Technology
Riding and Capitalizing the Next Wave of Information Technology
 
Business Intelligence and Analytics .pptx
Business Intelligence and Analytics .pptxBusiness Intelligence and Analytics .pptx
Business Intelligence and Analytics .pptx
 
UNIT 1 -BIG DATA ANALYTICS Full.pdf
UNIT 1 -BIG DATA ANALYTICS Full.pdfUNIT 1 -BIG DATA ANALYTICS Full.pdf
UNIT 1 -BIG DATA ANALYTICS Full.pdf
 
Big data Analytics
Big data AnalyticsBig data Analytics
Big data Analytics
 
A technical Introduction to Big Data Analytics
A technical Introduction to Big Data AnalyticsA technical Introduction to Big Data Analytics
A technical Introduction to Big Data Analytics
 
Presentation1 (1).pptx
Presentation1 (1).pptxPresentation1 (1).pptx
Presentation1 (1).pptx
 
A Survey on Data Mining
A Survey on Data MiningA Survey on Data Mining
A Survey on Data Mining
 

Último

Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 

Último (20)

Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 

Ch03

  • 1. Introduction to Information Technology Turban, Rainer and Potter John Wiley & Sons, Inc. Copyright 2005
  • 2. Data and Knowledge Management Chapter 3 1 “ Copyright 2005 John Wiley & Sons Inc.”
  • 3.
  • 4.
  • 5.
  • 6.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. Building a Data Warehouse 11
  • 13.
  • 14.
  • 15.
  • 17.
  • 18. Categories of business intelligence 17
  • 19.
  • 20. Stage in the evolution of knowledge discovery 19 Proactive , integrative ; multiple business partners Neural computing advanced al models, complex optimization, web services What is the best plan to follow? how did we perform compared to metrics? Advanced intelligent systems; complete integration(2000-2004) Prospective , proactive information delivery Advanced algorithms, multiprocessor computers, massive databases What’s likely to happen to the tBoston unit’s sales next month ? Why? Intelligent data mining (late 1990s) Retrospective , proactive data delivery at multiple level OLAP, multidimensional databases, data warehouses What were the sales in region A by product , by salesperson? Data warehousing and decision support (early 1990s) Retrospective , dynamic data delivery at record level Relational databases (RDBMS), structured query language (SQL) What were unit sales in new England last March ? Data access (1980s) Retrospective , static data delivery Computers ,tapes , disks What was my total revenue in the last 5 years? Data collection(1980s) Business question enabling technologies characteristic Evolutionary stage
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29. 3.6 Web-based Data Management System 28
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37. Seven Knowledge Management Tools 36 Web Sphere; knowledge X Integrate communications, collaboration, and storage technologies in one complete, out-of- the- box solution Knowledge management suites Google: Verity ; Inktomi Locate and retrieve documents from vast collections in corporate repositories . Search engines Knowledge Mail ; Active Knowledge Capture organizational knowledge unobtrusively; may be embedded in a knowledge management system. Knowledge –harvesting tools Doc Share; Lotus Notes Allows users to access needed documents over a corporate intranet; allows electronic collaboration on document creation and revision. Electronic document management Plum tree; Hyper wave Presents a single access point into a knowledge management system ‘ organizes the sources of unstructured information in an organization . Enterprise knowledge portal Hummingbird knowledge server; Autonomy’s intelligent data operating layer (IDOL) Contain the main knowledge management software, including the knowledge repository; provides access to other knowledge information , and data. Knowledge server Group systems; Lotus Notes / Domino Groupware products; used to enhance tacit knowledge transfer within an organization Collaboration computing Vendor/Product Examples Description Tool
  • 38. All rights reserved. Reproduction or translation of this work beyond that permitted in section 117 of the United States Copyright Act without express permission of the copyright owner is unlawful. Request for information should be addressed to the permission department, John Wiley & Sons, Inc. The purchaser may make back-up copies for his/her own use only and not for distribution or resale. The publisher assumes no responsibility for error, omissions, or damages caused by the use of these programs or from the use of the information herein. Copyright 2005 John Wiley & Sons, Inc.