Business Intelligence Knowledge Chapter 12 Test Bank Docx

File: chapter12TestBank.docx, Chapter 12, Business Intelligence, Knowledge Management, and Analytics

Multiple Choice

1. Knowledge management is the process that generates, captures, codifies, and __________ knowledge across an organization in order to achieve a competitive advantage.
2. Analyzes
3. Transfers
4. Applies
5. Limits
6. Saves
7. Which of the following allows individuals to own their creativity and innovation in a way similar to owning physical property?
8. Intellectual property
9. Open source license agreement
10. Economies of scale
11. Intellectual capital
12. Patents
13. Business analytics fuel ________ decision making.
14. social
15. fact-based
16. profit-driven
17. intuition-based
18. top-down
19. Unlike other baseball teams at the time, the Oakland A’s used which of the following to manage the team and carry themselves to the playoffs?
20. Players with lots of determination
21. Young players with the willingness to play
22. Factual data
23. High player salaries
24. High batting averages

5. In which of the following technologies can tacit knowledge be stored?

1. Artificial Intelligence (AI)
2. Personal computers
3. Data warehouses
4. Real-time data sources
5. All of the above

6. Knowledge that has been identified, captured, and leveraged to produce higher-value goods or services or some other competitive advantage for the firm is called:

1. Information
2. Intellectual capital
3. Competitive advantage data
4. Business intelligence
5. System data
6. All of the following are main processes of knowledge management EXCEPT:
7. The generation of knowledge
8. The capturing of knowledge
9. The absorption of knowledge
10. The codification of knowledge
11. The transfer of knowledge

8. Which of the following are collections of data designed to support management decision making, and sometimes serve as repositories of organizational knowledge?

1. Data-marts
2. Data containers
3. Data warehouses
4. Data storage centers
5. RAID

9. ________________ is hard to explain, hard to transfer, and highly personal to the source.

1. Data
2. Tacit knowledge
3. Implicit knowledge
4. Explicit knowledge
5. Information

10. IS is traditionally focused on:

1. data
2. tacit knowledge
3. implicit knowledge
4. explicit knowledge
5. information

11. All of the following are common elements of a BI system EXCEPT:

1. Reporting
2. Dashboards
3. Querying
4. Supply chain management
5. Scorecards

12. Which of the following is the process of analyzing data warehouses for “gems.”

1. Data combing
2. Data translation
3. Data mining
4. Data searching
5. Data manipulation

13. _______________ includes the movement from tacit knowledge to explicit knowledge.

1. Externalization
2. Socialization
3. Internalization
4. Combination
5. Appropriation

14. Which of the following is an ad hoc codification system that manages tags for annotating and categorizing content?

1. Collaborative data store
2. Folksonomy
3. Data mart
4. Socio-content
5. Social Network

15. All of the following are examples of socialization EXCEPT for:

1. Sharing war stories
2. Apprenticeships
3. Conferences
4. Non-structured activities, like an office party or lunch discussion
5. Project management

16. Capital One found ________ in combination with business analytics to be a very low-cost way to design and develop new products and services for customers.

1. Socialization
2. Experimentation
3. Absorption
4. Externalization
5. Globalization

17. By utilizing business analytics, a company can learn which one of the following?

1. Which products are moving slowly versus which products are moving quickly
2. Which products have been sold in the past 3 months
3. Who is likely to buy the product in a given period of time
4. Where each product sits (warehouse, store or factory location)
5. The suppliers who contributed to the manufacturing of the product

18. All of the following are components of business analytics EXCEPT:

1. A data repository
2. Software tools
3. Project stakeholders
4. Data driven environment
5. A skilled workforce

19. This company approach is one in which facts are gathered and analyzed as the first step in decision making.

1. Information-driven management
2. Hierarchical structure
3. Network structure
4. Evidence-based management
5. Social analytics

20. Which of the following is used to describe the techniques and technology that make it possible to deal with very large volumes of information that are created and stored for analysis.

1. Data warehouse
2. Database
3. Big data
4. Data analytics
5. Business intelligence

21. To support the analytical needs of an organization, data warehouses need to be all of the following EXCEPT:

1. Scalable
2. Compatible with the IT infrastructure
3. Agile to support changing requirements
4. Secure
5. Inaccessible

22. The main types of intellectual property are all of the following EXCEPT:

1. Patent
2. Trademarks
3. Designs
4. Data warehouse
5. Copyrights

23. Who generally has the responsibility for all aspects of data, from collection to storage, usage, and disposal?

1. CAO
2. CIO
3. CDO
4. CEO
5. CTO

24. Which of the following is the way personalization of real-time data streams is accomplished?

1. Geolocation
2. Cookies
3. Algorithms
4. Online conversations
5. All of the above

True/False

25. Traditionally low-tech industries have seen advances as a result of big data.

26. Countries in Asia have implemented General Data Protection Regulation (GDPR) for data protection and privacy throughout Asian.

26. Companies that use big data and analytics can be helped by making information more hidden, and making sure to avoid experimentation (which can become reckless).

27. The CEO-level sponsorship of and passion for analytics enabled firms like Caesars and Capital One to achieve the success they did.

28. A company that is using statistical analysis tools to report on why something happened has achieved a higher level of analytical maturity than a company that’s using tools to predict what will happen next.

29. “False discoveries” are a downside to the analysis of big data.

30. Data is more important than knowledge.

31. More human contribution goes into creating information than knowledge.

32. Tacit knowledge is easy to formalize.

33. Knowledge is valuable information from the human mind while information is data with relevance and purpose

34. Data is defined as simple observations of the state of the world, and it is easily captured on machines.

Short Answer

35. is the process of combing through massive amounts of data to identify previously unknown relationships among data.

36. Business intelligence is a more specific form of knowledge management that seeks to extract knowledge from ______.

37. Researchers at the University of Arizona are able to predict asthma-related emergency room visits with ______ percent accuracy.

38. A is a tool that displays key metrics in a graphical form and has drill down capabilities that get to the next level of detail.

39. Netflix is credited with accurately predicting viewer preferences, and collects detailed information about viewer behavior. Netflix uses to gain such capabilities.

40. Business analytics tools are used with data in the _____________ to gain insight and support decision making.

41. are tools that analyze the impact social IT has on a business.

42. is one of the features of Google Analytics that allows an organization see how specific search queries drive traffic to the organization’s web site.

Essay

43. Give examples of how Netflix takes advantage of business analytics, and what benefits they receive from doing so.

44. Explain how information-based intellectual property, such as a digital book, is different from physical property and why it is harder to protect.

45. How has social media changed how organizations make decisions that impact customers?

46. List some examples of what a company should do if it seeks to gain a competitive advantage from analytics.

47. Identify some of the sources of big data.

48. How can a company use social analytic tools to further their mission?

49. List the four main processes of knowledge management. Which process is the most difficult to perform? Why?

50. Distinguish between machine learning and deep learning within Artificial Intelligence (AI).

Matching

51. Determine if the following is data, information or knowledge.

52. Match the attribute as belonging to data, information or knowledge.

53. Identify the following actions as either using explicit knowledge or tacit knowledge.

54. Match the activity with the knowledge management process it represents.

55. Match the business analytic tool with the question it sets out to answer.

56. Match the level of analytical capability to its maturity level. Level 1 is the lowest level of maturity and Level 5 is the highest level of maturity.

57. Match the analytical capabilities maturity level with the question it seeks to answer.