Data mining and data warehousing
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The document discusses data mining and warehousing, emphasizing challenges such as user expectations, systems optimization, and data structuring. It contrasts prefabricated and custom warehouses, highlights the role of decision support systems (DSS) and executive information systems (EIS) in organizational decision-making, and outlines their advantages and characteristics. Additionally, it distinguishes between DSS and EIS based on their application and information sources.
![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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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 2
- 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 3
- 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 4
- 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 5
- 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 6
- 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 7
- 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 8
- 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 9
- 10. How a DSS works??? 10
- 11. Database management system Model management system Support tools Components of DSS 11
- 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 12
- 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 13
- 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 14
- 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 15
- 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] 16
- 17. 17
- 18. 1. Informational characteristics 2. User interface/orientation characteristics 3. Managerial / executive characteristics Characteristics of Executive Information System 18
- 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 19
- 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 20
- 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 21
- 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 22
- 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 24 Differences between DSS and EIS