Data mining and data warehousing, database management system, Data mining and data warehousing, complete presentation of Data mining and data warehousing,

1. Data Mining & Warehousing

2. 1 ) User expectation
2 ) Systems optimization
3 ) Data structuring
4 ) Prefabricated vs. Custom warehouse
5 ) Resource balancing
Challenges faced on Data
Warehousing
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3. As the volume of data in a warehouse increases,
warehouse management systems need to move deeper in
warehouses for data analysis.
The end-user in these cases demands and expects more
accurate and refined results in return of processing,
however that is not the case with warehouse systems.
 The performance decreases with exploding data and so
the efficiency of the system reduces.
1. User expectation
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4. Regressive utilization of business intelligence tools
require frequent maintenance and fine tuning of whole
system in order to meet users' expectations.
Carefully designed and configured data analysis tool
helps in providing better results for effective business
development decisions.
2. Systems optimization
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5. Proper processing of data requires structuring it in a
desired format so that further operations can be
executed.
 As the volume of data increases the task of structuring
data of system eventually becomes hectic for the system
manager.
3. Data structuring
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6. The varieties of warehouses available in market, create
ambiguity about which type to choose or go for.
Where custom warehouse saves the time of building the
warehouses from various operational databases from
weeks to days or even hours, prefabricated warehouses
saves the time of initial configuration and installation.
4. Prefabricated vs. Custom
warehouse
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7. In order to draw benefit from data warehousing, most
departments inside an organization tend to access the
processing capabilities of the warehouse.
 This eventually reduces the performance of the system and
decreases the efficiency as the stress on the system increases.
Access control and security are some techniques which can be
used to maintain a balance between the utilization and
performance of warehouse systems.
5. Resource Balancing
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8.  Decision support systems (DSS) are a specific class of
computerized information system that supports business and
organizational decision -making activities.
 DSS is a well integrated ,user friendly, computer based tools
that combine data with various decision making models to
solve semi structure and unstructured problems.
Decision support system
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9.  Provide decision support for several interdependent decision.
 Assist the decision maker to make decision under dynamic
business conditions.
 Supports a wide variety of decision making processes and
style.
Characteristics
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10. How a DSS works???
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11.  Database management system
 Model management system
 Support tools
Components of DSS
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12.  In database management ,the problem necessary to solve may
come from internal and external database.
 Within the organization, internal data are generated by
systems such as TPS and MIS; external data come from
variety of sources such as periodicals, databases, newspapers
and online data services.
Database Management
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13.  It stores and access models that managers use to make
decisions.
 Models are integral part of most decision making and are
used for many tasks, such as designing a manufacturing
facility, analysing the financial health of an organization,
forecasting demand for a product or service, and determining
the quality of a particular batch of products.
Model Management Component
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14.  It consist of tools such as pull down menus, on -line help,
users interface, graphical analysis and error -correction
mechanisms all of which facilitate users interactions with the
system.
 Interfaces are an important support tools. This is because
middle and top managers have neither the time nor the
inclination to learn difficult and complicated procedures in
order to run a system. For better the interface, the greater
the chances that users will accept the system.
Support Tools
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15.  Cost saving
 Improve managerial effectiveness
 Flexible and adaptive
 Improve the effectiveness of the decision
 Reduces the time and efforts in collecting and analysis of
data for different sources, a large no of alternatives can be
evaluated.
Advantages of DSS
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16. It is also termed as Executive Support System[ESS].
It is a specialized decision support system used to assist
senior executives in the decision -making process.
It includes various hardware, software, data, procedures and
the people.
It is very user friendly in the nature.
It is supported at a large extent by the graphics.
Executive Information System[EIS]
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17. 17

18. 1. Informational characteristics
2. User interface/orientation characteristics
3. Managerial / executive characteristics
Characteristics of Executive
Information System
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19. i . Flexibility and ease of use.
i i . Provides the timely information with the short response
time and also with the quick retrieval.
i i i . Produces the correct information.
i v . Produces the relevant information.
v . Produces the validated information.
1. Informational characteristics
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20. i . Consists of the sophisticated self help.
i i . Contains the user friendly interfaces consisting of the
graphic user.
i i i . Can be used from many places.
i v . Offers secure reliable, confidential access along with the
access procedure.
v . Is very much customized. Suites the management style of the
individual executives.
2. User interface/orientation
characteristics
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21. i . Supports the over all vision, mission and the strategy.
i i . Provides the support for the strategic management.
i i i . Sometimes helps to deal with the situations that have a high
degree of risk.
i v . Is linked to the value added business processes.
v . Supports the access to database.
v i . Is very much result oriented in the nature.
3. Managerial / executive characteristics
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22. 1.Achievement of the various organizational objectives.
2.Facilitates access to the information by integrating many
sources of the data.
3. Facilitates broad, aggregated perspective and the context.
4. Offers broad highly aggregated information.
5. User’s productivity is also improved to a large extent.
6. Communication capability and the quality are increased.
Advantages of EIS
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23. 1 . Internal factors - accurate & reliable information, improve
communications, use of historical data
2. External factors - increasing global competition, changing the
business environment, government regulations.
Factors affecting EIS

24. DSS EIS
 Used by professionals
 Required for day to day
operations
 Deals both with semi &
unstructured data
 Consists only of internal
information
 Used by executives
 Required for strategic plans and
procedures
 Deals only with unstructured
data (which cannot be described
in detail)
 Consists of both internal &
external information
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Differences between DSS and EIS