Mis jaiswal-chapter-04

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Mis jaiswal-chapter-04

  1. 1. Chapter 4 Database Management
  2. 2. • Sharable - data that is being created at any one point in the organisation is of use for multiple departments , processes or SBU’s, and should be easily sharable by all the relevant departments , processes and SBU’s •Consistent - when dealing with multiple and completely independent data sources ,a single fact might be stored at a number of places differently • Reduced redundancy - in file systems or application data stores , same data is often stored in multiple places as well as a multiple number of times in the same data store • Standardized - representation of data should be in a standard form so that sharability of data is possible
  3. 3. • Software used to create, manage and control the database is called a database management system (DBMS) • Access and use of the data stored in the database is only through the database management system
  4. 4.  A DBMS can help in monitoring sales, summarize sales data, inventory tracking and analysis, quick answers to ad-hoc queries  A marketing database can support an enterprise- level marketing analysis , demand forecasting and distribution management, resulting in more effective processes.  Customer databases can help marketers to engage in selling personalized products and services and also be used for target marketing campaigns  A DBMS can support the logistics , distribution and materials management process in a very effective manner by linking the sales database to the inventory database for realtime inventory management
  5. 5.  A database which contains the qualification and experience details about employees can be extremely handy in job scheduling on a daily or a weekly basis  A database management system can be used to store the performance history of an employee and thus help in analyzing the training needs of the employees  Online leave and attendance records in a database can be extremely helpful in analyzing certain employee behaviors and thus help the HR managers to find a solution to this problem  An HR DBMS can help in performance evaluation and benefits administration on a real-time basis without employees having to write letters and letters for benefits claim  Knowledge databases can support the organizational learning model
  6. 6.  The data required for evaluation and creation of financial and economic forecasting, budget and investment planning is available in financial databases  A DBMS system provides a facility for validation by means of validation checks , controls and constraints.  Using a knowledge base of financial data can help in financial and economic forecasting which is otherwise a very lengthy and tedious procedure.  DBMS system can support an online bill and invoicing procedure and link it with the delivery and receipt of products
  7. 7.  Determine the purpose of your database  Determine the tables you need in the database  Determine the fields you need in the tables  Identify fields with unique values  Determine tables the relationships between
  8. 8.  Represents the language of the organisation (processes of the organisation)  Represents the fundamental structure of the organisation (information processing requirements of each process and the information links between various processes)  Represents the physical structure of the database (logical and physical schemas of the data store)
  9. 9. Databases stored on multiple computers that typically appears to applications as a single database  Thus an application can simultaneously access and modify the data in several databases in a network  Databases are connected via a network, either local a are or wide area, which may involve different database management systems, running on different architectures, that distributes the execution of transactions
  10. 10. •A data warehouse is a single, centralized, enterprise-wide repository which combined all the data from all legacy systems and theoretically gave all users access to appropriate information
  11. 11. • The data for the data warehouse is first extracted from its native sources, such as OLTP ( Online Transaction Processing System) databases, text files, Microsoft Access, and even spreadsheets and various operational sources • This data is then placed in a data warehouse that has a structure compatible with data model • The data stored in the data warehouse resides in the form of facts and dimensions

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