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Chapter 4: Databases and Data Warehouses

Chapter 4: Databases and Data Warehouses. Learning objectives. 1. Information resources 2. Database advantages 3. Relational database 4. Master data management 5. Data warehouse 6. Information management. Information resources. Structured information Unstructured information

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Chapter 4: Databases and Data Warehouses

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  1. Chapter 4:Databases and Data Warehouses

  2. Learning objectives 1. Information resources 2. Database advantages 3. Relational database 4. Master data management 5. Data warehouse 6. Information management

  3. Information resources • Structured information • Unstructured information • Semi-structured information • Metadata

  4. Quality of information • Accuracy • Precision • Completeness • Consistency • Timeliness • Bias • Duplication

  5. Managing information

  6. File processing systems • Redundancy and inconsistency • Lack of integration • Inconsistent definitions • Dependence

  7. Databases • Reduced redundancy • Integrity and accuracy • Ability to adapt to changes • Performance and scalability • Security

  8. Database architecture • One to one (1:1) • One to many (1:M) • Many to many (M:M)

  9. Relational database • Tables of records • Link field in one table to field in another table • Separates data from paths to retrieve data

  10. Data model (1:2) • Entities and attributes • Primary key • Normalization

  11. Data model (2:2)

  12. Retrieving information • Structured query language (SQL) • Interactive voice response (IVR) • Natural language interfaces

  13. Managing the database • Performance tuning and scalability • Integrity, security, and recovery • Documentation

  14. Multiple databases • Integration challenges • Shadow systems • Master data management • Data stewards

  15. Data warehouses

  16. Human element • Ownership issues • Databases without boundaries • Stakeholders

  17. Summary 1. Information resources 2. Database advantages 3. Relational database 4. Master data management 5. Data warehouse 6. Information management

  18. UK police case • Video surveillance • Automatic plate number recognition • Database • Queries and data mining • Privacy

  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

  20. Chapter 4 - 20

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