5 Networks and Collaboration As Business Solutions

Turban and Volonino
Chapter 3
Managing Data to Improve Business Performance
Information Technology for Management
Improving Performance in the Digital Economy
7th edition
John Wiley & Sons, Inc.
Slides contributed by Dr. Sandra Reid
Chair, Graduate School of Business & Professor, Technology
Dallas Baptist University
Copyright 2010 John Wiley & Sons, Inc.
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Chapter Outline
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3.1 Data, Master Data, and Data Management
3.2 File Management Systems
3.3 Database Management Systems
3.4 Data Warehouses, Data Marts, and Data Centers
3.5 Enterprise Content Management
3.6 Managerial Issues
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Learning Objectives
1. Describe how data and document management
impact profits and performance.
2. Understand how managers are supported or
constrained by data quality.
3. Discuss the functions of databases and database
management systems.
4. Understand how logical views of data provide a
customized support and improve data security.
5. Describe the tactical and strategic benefits of data
warehouses, data marts, and data centers.
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Learning Objectives cont’d
6. Describe transaction and analytic processing
systems.
7. Explain how enterprise content management and
electronic records management reduce cost,
support business operations, and help companies
meet their regulatory and legal requirements.
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Figure IT 7eU The Business Performance
Management Cycle and IT Model
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Applebee’s International Learns & Earns
Problem: Huge quantities of data in many
Databases.
Solution: Enterprise data warehouse
implemented.
Results: Improved profitability.
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Figure 3.1 Applebee’s enterprise data
warehouse and feedback loop.
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3.1 Data, Master Data, and Document
Management
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Uncertainty: A Constraint on Managers
TransAlta Says Clerical Snafu Costs It $24 Million
Sync or swim: who should blink first and why?
First of two parts
In sync: getting the supply chain act together: federal,
industry players collaborate to improve healthcare
delivery, reduce costs
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Figure 3.2 Data life cycle.
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Analyzing Any Business
Business analytics
Competing on Analytics – HBR article
by Thomas Davenport
Fighting Click Fraud And Bots From The Heart
Of Texas
Math Will Rock Your World
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Figure 3.3
Dow Jones industrial average (DJIA) for a single day in tabular
display and graphical display.
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Data Visualization
FROM 3 Weeks to 3 Minutes - Ivy League School Finds Million Dollar
Donor
Deck: ADVIZOR frees up development managers to get the right
answers quickly
Visualization Gallery
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Decision Support Systems
Information Builders…..
Decision Support Systems –
DSS (definition)
Hospitals Embrace Business Intelligence
and Integration Technologies From
Information Builders to Increase
Revenue and Improve Patient Care
Many Hospitals Use WebFOCUS and
iWay Software to Propel More Than 100
Percent Growth for Information Builders
in Healthcare Market
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MDM
Master Data Management (MDM)
Master Data Management
Operational versus Analytical Master Data Management
Demystifying Master Data Management
Would You Like Fries With That? And Does Cross-Selling
Justify Master Data Management?
Data management's top eight stories of 2008
Human resources data analytics brings metrics to
workforce management
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Master Data Entities
10 Mistakes to Avoid When Writing an RFP for
Master Data Management
The What, Why, and How of Master
Data Management
Data Mart Does Not Equal Data
Warehouse
SUPPLY CHAIN ANALYTICS & DATA DISCOVERY
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Figure 3.4. Model of an enterprise data
warehouse.
(Source: From Syncsort, synchsort.com. Used with permission.)
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Table 3.2
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Data Quality
Quality of Data and Quality in Context –
Article by David Loshin, September 18, 2008
Data Quality and Data Profiling –
Article by David Loshin, December
11, 2008
Data Quality Example
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Document Management
Implementing Document and Record Management
Systems as a part of your business continuity plan
SurgiCenter of Baltimore
Laserfiche locates patient records with surgical precision
American Express
American Express increases its commitment to excellent
customer satisfaction with Cardiff TeleForm
Captaris® Alchemy®: Document Management Software
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3.2 File Management Systems
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Figure 3.5
Example of primary and foreign keys.
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Figure 3.6
Hierarchy of data for a computer-based file.
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Figure 3.7
Indexed sequential access method.
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Figure 3.8
Computer-based files of this type cause problems such as redundancy,
inconsistency, and data isolation.
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3.3 Databases and Database
Management Systems
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Figure 3.9 (a) Centralized database. (b) Distributed database
with complete or partial copies of the central database in more
than one location.
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Table 3.3
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Figure 3.10
Database management system provides access to all data in the database.
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3.4 Data Warehouses, Data Marts,
and Data Centers
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Figure 3.11
Data warehouse framework and views.
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Figure 3.12
Teradata Corp.’s enterprise data warehouse.
(Source: Teradata Corporation [teradata.com], with permission.)
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Table 3.4
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Table 3.5
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3.5 Enterprise Content Management
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Figure 3.13
Electronic records management from creation to retention or destruction.
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ERM Vendors – check these out!
ACCUTRAC® SOFTWARE
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3.6 Managerial Issues
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Managerial Issues
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Reducing uncertainty.
Cost-benefit issues & justification.
Where to store data physically.
Legal issues.
Internal or external collection, storage, maintenance, &
purging of databases of information.
Disaster recovery.
Data security & ethics.
Privacy.
Legacy systems.
Data delivery.
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