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Chapter 4: Managing Information Resources with Databases Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 1 Learning objectives 1. 2. 3. 4. 5. 6. Information resources Database advantages Relational database Master data management Data warehouse Information management Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 2 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 Information resources • • • • Structured information Unstructured information Semi-structured information Metadata Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 4 Information quality • • • • • • • Accuracy Precision Completeness Consistency Timeliness Bias Duplication Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 5 Managing information • Record • Field • Table Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 6 File processing systems • • • • Redundancy and inconsistency Lack of integration Inconsistent definitions Dependence Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 7 Databases • • • • • 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 Database architecture • 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 Relational database • 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 Data model (1:2) • Entries and attributes • Primary key • Normalization Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 11 Data model (2:2) • Relationships and foreign keys • Complex relationships Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 12 Retrieving information • Structured query language (SQL) • Interactive voice response (IVR) • Natural language interfaces Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 13 Managing the database • Performance tuning and scalability • Integrity, security, and recovery • Documentation Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 14 Multiple databases • Integration challenges • Shadow systems • Master data management • Data stewards Update Figure Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 2 - 15 Data warehouse • Building data warehouses • Extract, transform, and load (ETL) • Data mining Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 16 Human element • Ownership issues • Databases without boundaries • Stakeholders Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 17 Summary 1. 2. 3. 4. 5. 6. Information resources Database advantages Relational database Master data management Data warehouse Information management Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 18 UK police case • • • • • Video surveillance Automatic plate number recognition Database Queries and data mining Privacy Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 19 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 Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 21