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

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

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

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

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

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

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

Data warehouse 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

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

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