Chapter 4: Managing Information Resources with Databases Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 4 - 1

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

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

Structured information Unstructured information Semi-structured information Metadata Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter Information resources

Accuracy Precision Completeness Consistency Timeliness Bias Duplication Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter Quality of information

Record Field Table Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter Managing information

Redundancy and inconsistency Lack of integration Inconsistent definitions Dependence Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter File processing systems

Reduced redundancy Integrity and accuracy Ability to adapt to changes Performance and scalability Security Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter Databases

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 Database architecture

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 Relational database

Entities and attributes Primary key Normalization Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter Data model (1:2)

Relationships and foreign keys Complex relationships Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter Data model (2:2)

Structured query language (SQL) Interactive voice response (IVR) Natural language interfaces Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter Retrieving information

Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter Managing the database Performance tuning and scalability Integrity, security, and recovery Documentation

Multiple databases Integration challenges Shadow systems Master data management Data stewards Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter

Data warehouses Building data warehouses Extract, transform, and load (ETL) Data mining Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter

Human element Ownership issues Databases without boundaries Stakeholders Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter

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

Video surveillance Automatic plate number recognition Database Queries and data mining Privacy Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter UK police case

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

Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter