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Chapter 4: Managing Information Resources with Databases Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 1
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Learning objectives 1.Information resources 2.Database advantages 3.Relational database 4.Master data management 5.Data warehouse 6.Information management Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 2
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YouTube Founded in 2005 Goal to create worldwide community Database of videos Within one year, 100 million videos per day Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 3
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Structured information Unstructured information Semi-structured information Metadata Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 4 Information resources
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Accuracy Precision Completeness Consistency Timeliness Bias Duplication Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 5 Quality of information
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Record Field Table Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 6 Managing information
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Redundancy and inconsistency Lack of integration Inconsistent definitions Dependence Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 7 File processing systems
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Reduced redundancy Integrity and accuracy Ability to adapt to changes Performance and scalability Security Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 8 Databases
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One to one (1:1) One to many (1:M) Many to many (M:M) Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 9 Database architecture
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Tables of records Link field in one table to field in another table Separates data from paths to retrieve data Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 10 Relational database
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Entities and attributes Primary key Normalization Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 11 Data model (1:2)
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Relationships and foreign keys Complex relationships Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 12 Data model (2:2)
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Structured query language (SQL) Interactive voice response (IVR) Natural language interfaces Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 13 Retrieving information
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Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 14 Managing the database Performance tuning and scalability Integrity, security, and recovery Documentation
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Multiple databases Integration challenges Shadow systems Master data management Data stewards Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 15
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Data warehouses Building data warehouses Extract, transform, and load (ETL) Data mining Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 16
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Human element Ownership issues Databases without boundaries Stakeholders Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 17
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Summary 1.Information resources 2.Database advantages 3.Relational database 4.Master data management 5.Data warehouse 6.Information management Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 18
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Video surveillance Automatic plate number recognition Database Queries and data mining Privacy Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 19 UK police case
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Colgate Palmolive case $15 billion sales, 70 countries Consistency in products and data Colgate Business Planning (CBP)—profit, loss and ROI by product, region, and retailer Reinvested $100 million in most profitable promotions, goal $300 million Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 20
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Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 21
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