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Chapter 4
Database Management
• 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
• 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
 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
 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
 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
 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
 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)
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
•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
• 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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Mis jaiswal-chapter-04

  • 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. • 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.
  • 5.  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
  • 6.  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
  • 7.  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
  • 8.  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
  • 9.  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)
  • 10.
  • 11. 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
  • 12.
  • 13. •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
  • 14.
  • 15. • 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