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Dpr105 databases

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ERP Databases, Design, and Concepts

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Dpr105 databases

  1. 1. Destination DPR105: Info Mgmt Systems Instructor: Tom Matys Topic Focus: Relational Databases1
  2. 2. database data ERP master data transaction data process function integration data normalization data governance fulfillment production procurement Knowledge workers 2
  3. 3. ERP: Porter’s Five Forces 3
  4. 4. ERP: Strategy • Real-time • Cost-savings • Customer Loyalty • Secure • Accurate • Efficient • Breaks barriers • Connected • Streamlined • Centralized database • Shares data between business functions 4
  5. 5. ERP: How Does it Work? • Knowledge Workers • Databases • Hardware • Software • Network • Applications • Cross-Functionality 5
  6. 6. ERP: Cross-Functionality 6
  7. 7. 7
  8. 8. ERP: Business Functions • Accounts Payable • Production Planner • Buyer • Purchasing Agent • Price Research Analyst • Production Planner • Accounts Receivable • Warehouse Worker • Sales & Customer Support 8
  9. 9. ERP: Business Processes • Create Sales Order (MS) • Create Purchase Requisitions (MM) • Create Goods Issue (Finished Product) (PP) • Create Goods Receipt (Raw Materials) (MM) • Create Inquiry/Quote (MS) • Create Production Confirmation (PP) • Create Invoice (AF) • Create Payment (AF) 9
  10. 10. AF MS MM AF ERP: A Closer Look DB 10
  11. 11. ERP: Data Data Governance Data Normalization 11
  12. 12. ERP: Why Data Normalization? What is it? What are the results? • Prevents redundancy • Organizes entities • Defines data attributes • Defines primary keys The most efficient data scheme that uses only data that is needed! 12
  13. 13. 13 ERP: Relational Database
  14. 14. 14 ERP: Relational Database Components
  15. 15. ERP: Entities 15
  16. 16. ERP: Attributes • ENTITIES • ATTRIBUTES • PRIMARY KEYS • FOREIGN KEYS 16
  17. 17. ERP: Primary & Foreign Keys 17
  18. 18. 18 ERP: Master vs Transaction Data
  19. 19. ERP: Master Data 19
  20. 20. 20 ERP: Master vs Transaction Data
  21. 21. 21 ERP: Data Normalization • Organizing data • Creating tables and establishing relationships between those tables • Eliminating redundancy and inconsistent dependency. • Redundant data wastes disk space and creates maintenance problems. • Eliminate repeating groups in individual tables. • Create a separate table for each set of related data. • Identify each set of related data with a primary key. • Relate these tables with a foreign key.
  22. 22. ERP: Master Data 22
  23. 23. MASTER DATA LAB QUESTIONS? 23

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