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- 2. Goals Recognize the importance of data, their issues, and their life cycle. Describe the sources of
- 3. Data Мanagement The amount of data increases exponentially with time. Data are dispersed throughout different organizations.
- 4. Data Life Cycle Process New data collection occurs from various sources. It is temporarily stored in
- 5. Data Life Cycle Continued The result of data processing is to generate a solution
- 6. Data Sources Internal Data Sources are usually stored in the corporate database and are about people,
- 7. Methods to collect Raw Data Collection can take place in the field from individuals via manually
- 8. Methods for managing data collection A Data Flow Manager consists of a decision support system a
- 9. Data Quality and Integrity Internal DQ: Accuracy, objectivity, believability, and reputation. Accessibility DQ: Accessibility and access
- 10. \ Document Management Maintaining paper documents, requires that: Everyone have the current version An update schedule
- 11. Transactional vs. Analytical Data Processing Transactional processing takes place in systems at operational level (TPS) that
- 12. The Data Warehouse Benefits of a data warehouse are: The ability to reach data quickly, since
- 13. The Data Warehouse Continued Characteristics of data warehousing: Time variant. The data are kept for many
- 14. The Data Warehouse Continued
- 15. The Data Mart There are two major types of data marts: Replicated (dependent) data marts are
- 16. The Data Cube One intersection might be the quantities of a product sold by specific retail
- 17. Operational Data Stores It is typically used for short-term decisions that require time sensitive data analysis
- 18. Business Intelligence Business intelligence includes: outputs such as financial modeling and budgeting resource allocation coupons and
- 19. Business Intelligence Continued How It Works
- 20. Knowledge Discovery KDD supported by three techniques : massive data collection powerful multiprocessor computing data mining
- 21. Knowledge Discovery Continued Discovering useful patterns
- 22. Queries User requests are stated in a query language and the results are subsets of the
- 23. Online Analytical Processing ROLAP (Relational OLAP) is an OLAP database implemented on top of an existing
- 24. Data Mining Data mining technology can generate new business opportunities by providing: Automated prediction of trends
- 25. Data Mining Techniques Case-based reasoning. uses historical cases to recognize patterns Neural computing is a machine
- 26. Data Mining Tasks Classification. Infers the defining characteristics of a certain group. Clustering. Identifies groups of
- 27. Data Visualization Multidimensional visualization means that modern data and information may have several dimensions. Dimensions: Products
- 28. Data Visualization Continued Measures: Money Sales volume Head count Inventory profit Actual versus forecasted results. Time:
- 29. Data Visualization Continued
- 30. Data Visualization Continued A geographical information system (GIS) is a computer-based system for capturing, storing, checking,
- 31. Specialized Databases Marketing transaction database (MTD) combines many of the characteristics of the current databases and
- 32. Web-based Data Management Systems Enterprise BI suites and Corporate Portals integrate query, reporting, OLAP, and other
- 33. Web-based Data Management Systems Continued
- 34. Web-based Data Management Systems Continued
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