Foundations_of_Business_Intelligence.ppt
- 1. 6.1 © 2007 by Prentice Hall 6 Chapter Foundations of Business Intelligence: Databases and Information Management
- 2. 6.2 © 2007 by Prentice Hall LEARNING OBJECTIVES Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management • Menjelaskan konsep organisasi file dasar dan masalah pengelolaan sumber daya data dalam lingkungan file tradisional. • Menjelaskan prinsip-prinsip sistem manajemen database dan fitur dari database relasional. • Menerapkan prinsip-prinsip penting desain database.
- 3. 6.3 © 2007 by Prentice Hall LEARNING OBJECTIVES (cont’d) Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management • Mengevaluasi alat dan teknologi untuk menyediakan informasi dari database untuk meningkatkan kinerja bisnis dan pengambilan keputusan. • Menilai peran kebijakan informasi, data administrasi, dan jaminan kualitas data dalam pengelolaan sumber daya organisasi data.
- 4. 6.4 © 2007 by Prentice Hall Nascar Races to Manage Its Data • Masalah: Mendapatkan pengetahuan dari pelanggan dan membuat penggunaan efektif data pelanggan terfragmentasi. • Solusi: Gunakan teknologi database relasional untuk meningkatkan pendapatan dan produktivitas. • Aturan akses data dan database pelanggan yang komprehensif mengkonsolidasikan data pelanggan. • Menunjukkan peran TI dalam menciptakan customer intimacy dan menstabilkan infrastruktur. • Menggambarkan peran teknologi digital dalam standardisasi bagaimana data dari sumber yang berbeda disimpan, diatur, dan dikelola. Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management
- 5. 6.5 © 2007 by Prentice Hall Organizing Data in a Traditional File Environment • Konsep organisasi file • Masalah dengan lingkungan file tradisional Redundansi data dan inkonsistensi Ketergantungan Program-Data Kurangnya fleksibilitas keamanan yang buruk Kurangnya berbagi data dan ketersediaan Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management
- 6. 6.6 © 2007 by Prentice Hall Traditional File Processing Figure 6-2 Penggunaan pendekatan tradisional untuk mengajukan proses mendorong setiap area fungsional dalam perusahaan untuk mengembangkan aplikasi khusus dan file. Setiap aplikasi membutuhkan data file yang unik yang mungkin menjadi bagian dari master file. Ini subset master file menyebabkan redundansi data dan inkonsistensi, pengolahan kaku, dan sumber daya terbuang penyimpanan. Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management Organizing Data in a Traditional File Environment
- 7. 6.7 © 2007 by Prentice Hall • Database management systems • Bagaimana DBMS memecahkan masalah lingkungan file tradisional • Relational DBMS • Operasi DBMS relasional • Hirarki dan jaringan DBMS • Object-oriented DBMS Database Pendekatan Manajemen Data Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management
- 8. 6.8 © 2007 by Prentice Hall The Database Approach to Data Management Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management Figure 6-3 Sebuah database tunggal sumber daya manusia memberikan banyak pandangan yang berbeda dari data, tergantung pada kebutuhan informasi pengguna. Illustrated sini dua kemungkinan pandangan, salah satu yang menarik untuk spesialis manfaat dan salah satu yang menarik bagi anggota departemen penggajian perusahaan. Human Resources Database with Multiple Views
- 9. 6.9 © 2007 by Prentice Hall The Database Approach to Data Management • Capabilities of database management systems • Querying and reporting • Designing databases • Normalization and entity-relationship diagrams • Distributing databases Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management
- 10. 6.10 © 2007 by Prentice Hall Distributed Databases Figure 6-12 There are alternative ways of distributing a database. The central database can be partitioned (a) so that each remote processor has the necessary data to serve its own local needs. The central database also can be replicated (b) at all remote locations. The Database Approach to Data Management Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management
- 11. 6.11 © 2007 by Prentice Hall Using Databases to Improve Business Performance and Decision Making Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management • Database warehouses • What is a data warehouse? • Data marts • Online analytical processing (OLAP) • Data mining • Databases and the Web
- 12. 6.12 © 2007 by Prentice Hall Components of a Data Warehouse Figure 6-13 The data warehouse extracts current and historical data from multiple operational systems inside the organization. These data are combined with data from external sources and reorganized into a central database designed for management reporting and analysis. The information directory provides users with information about the data available in the warehouse. Using Databases to Improve Business Performance and Decision Making Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management
- 13. 6.13 © 2007 by Prentice Hall • Read the Interactive Session: Management, and then discuss the following questions: • What are the benefits of DNA databases? • What problems do DNA databases pose? • Who should be included in a national DNA database? Should it be limited to convicted felons? Explain your answer. • Who should be able to use DNA databases? DNA Databases: Crime-Fighting Weapon or Threat to Privacy? Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management Using Databases to Improve Business Performance and Decision Making
- 14. 6.14 © 2007 by Prentice Hall Managing Data Resources • Establishing and information policy • Ensuring data quality Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management
- 15. 6.15 © 2007 by Prentice Hall • Read the Interactive Session: Management, and then discuss the following questions: • What was the impact of data quality problems on the companies described in this case study? What management, organization, and technology factors caused these problems? • How did the companies described in this case solve their data quality problems? What management, organization, and technology issues had to be addressed? • It has been said that the biggest obstacle to improving data quality is that business managers view data quality as a technical problem. Discuss how this statement applies to the companies described in this case study. What Can Be Done About Data Quality? Managing Data Resources Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management