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Data Mining and Business Intelligence: Business Intelligence
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Data Mining and Business Intelligence: Business Intelligence
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25 Questions

1. Business intelligence equips enterprises to gain business advantage from data
2. Which of the following areas are affected by BI?
3. Which of the following does not form part of BI Stack in SQL Server?
4. ______ database provides creation logins on the destination server
5. The first step in a Stage-gate process is____.
6. _________ is a category of applications and technologies for presenting and analyzing corporate and external data.
7. ________ is a performance management tool that recapitulates an organization’s performance from several standpoints on a single page.
8. _____technique used to predict future behavior and anticipate the consequences of change.
9. Buisness intelligence affected by______areas.
10. Business intelligence (BI) is a broad category of application programs which includes _____________
11. __________ is a system where operations like data extraction, transformation and loading operations are executed.
12. Which of the following does not form part of BI Stack in SQL Server?
13. IS stands for_____.
14. Which of the following areas are affected by BI?
15. _________ is a category of applications and technologies for presenting and analyzing corporate and external data.
16. KPI stands for?
17. Which of the following statement is true about Business Intelligence?
18. One of the following term for a radical rethinking of the nature of the business?
19. Which of the following is the process of basing an organization’s actions and decisions on actual measured results of performance?
20. Which of the following is a central point from which all customer contacts are managed?
21. Point out the correct statement.
22. Point out the wrong statement.
23. How many types of BI users are there?
24. BI can catalyze a business’s success in terms of _____________
25. __________ is a system where operations like data extraction, transformation and loading operations are executed.

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