Chapter 09 Reporting Processes and eXtensible Business Reporting Language (XBRL)
1.
Data warehouses work together with operational o perational systems to provide necessary insight, particularly in the case of customer relationship relationship management (CRM) and supply chain management (SCM) systems. True
2.
False
Data warehouses are often designed to facilitate decision making such as those often used in managerial accounting and facilitate management management by exception, such as variance reports, trend reports, variance analysis reports, and reports that show actual performance are compared to budgeted information. True
3.
False
If data mining may finds a statistical correlation or relationship between two data items, then there exists a plausible relationship between those two data items in the real world. True
False
4. XBRL is based on the XML language. True
False
9-1 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
5.
XBRL produces standardized reports and is not customizable. True
6.
False
XBRL GL (also known as XBRL Global Ledger Taxonomy) serves as a means to facilitate efficient communication within a firm. True
7.
False
XBRL serves as a means to electronically communicate business information information to facilitate business reporting of financial and nonfinancial data to users. XBRL greatly enhances the speed and accuracy of business reporting. True
8.
False
XBRL instance documents describe each key data element (e.g., total assets, accounts, payable, net income, etc.). True
9.
False
XBRL allows highly disaggregated data so not only is it possible to know the level of sales, but it is possible to know sales revenue in much more detail. True
False
10. Data warehouses gather information from external databases, but not from internal databases. True
False
11. XBRL style sheets take the instance documents and add presentation elements to make XBRL filings readable by humans. True
False
9-2 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
12. Bank loan officers and the IRS will likely have different XBRL style sheets for the various XBRL filings. True
False
13. Since both are regulators, the SEC and the IRS will likely have similar XBRL style sheets for the various XBRL filings. True
False
14. XBRL (eXtensible Business Reporting Language) is an open, global standard for exchanging financial reporting information. True
False
15. Data Mining is a process of using sophisticated statistical techniques techniques to extract and analyze data from large databases to discern patterns and trends that were not previously pr eviously known. True
False
16. XBRL Instance Documents define and describe each key data element (e.g., total assets, accounts, payable, net income, etc.). True
False
9-3 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
17. Data mining is considered a technique of
A. Data Warehousing B. Project Management C. Data Martian D. Business Intelligence 18. A data warehouse may include a:
A. XBRL style sheet B. General Economic Information I nformation C. Digital Dashboard D. iPad Mini 19. Ford may use business intelligence to:
A. Track the cost of parts on its vehicles B. Monitor the price of their pilots and flight attendants C. Indicators of quality issues to pinpoint p inpoint machinery failures in its assembly plants D. As inputs for its tax reporting system 20. A collection of information gathered from an assortment of external and operational (i.e., internal) databases to facilitate reporting for decision making and business analysis is called
A. Business intelligence B. Data Warehouse C. Digital Dashboard D. XBRL
9-4 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
21. The steps in business intelligence include:
A. Gather Information, Analyze Data for Patterns, Make Decision B. Analyze Data for Patterns, Gather Information, Information, Make Decision C. Create Data Warehouse, Query Data Warehouse, Make Decision D. Create Data Warehouse, Analyze Data for Patterns, Make Decision 22. Digital Dashboard tracks in a user-friendly way:
A. Airplane speed B. Critical business failures C. Critical business processes D. Critical business projects 23. The first person to propose using XML be used as a means to electronically deliver financial information was:
A. Albert Gore B. Charles Hoffman C. Manuel Sanchez D. Kevin Kobelsky 24. XBRL GL, or XBRL Global Ledger Taxonomy, is different from XBRL US GAAP because it facilitates:
A. Efficient communication between the firm and financial analysts. B. Efficient communication within a firm. C. Efficient communication between the firm and its suppliers. D. Efficient communication between the firm and its customers.
9-5 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
25. The stated advantages of XBRL GL include:
A. Flexibility B. Wide acceptance by the market C. Scalability D. Network Effects 26. XBRL assurance is generally expected to include:
A. The most current, standardized XBRL taxonomy is used. B. The underlying financial and nonfinancial data that is used in XBRL tagging is reliable. C. The XBRL tagging is accurate and complete. D. The reports include all relevant financial and nonfinancial information. information. 27. XBRL stands for
A. eXtensible Business Reporting Language. B. eXtensible Behavioral Reporting Language. C. eXtensible Book Reporting Language. D. eXtensible Basic Reporting Language. 28. XBRL does all of the following except:
A. Enhances speed and accuracy of business reporting. B. Provides major benefits in the preparation, analysis and communication of business information. C. Serves as a universal standard for financial reporting information in the individual investor community. D. Facilitates business reporting of financial and nonfinancial data.
9-6 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
29. In February 2009, the _____________ passed the rule requiring all large domestic firms to begin formatting their financial statements using XBRL.
A. Financial Accounting Standards Board B. International Accounting Standards Board C. American Institute of Certified Public Accountants D. Securities and Exchange Commission 30. A document containing XBRL elements is called a:
A. XBRL Instance Document B. XBRL Style Sheet C. XBRL Report D. XBRL Taxonomy 31. The process of using sophisticated statistical techniques to extract and analyze data from large databases to discern patterns and trends that were not previously known is called:
A. Data Mart B. Data Mining C. Data Warehouse D. Business Intelligence 32. The tool that defines and describes each key data element (e.g., total assets, accounts, payable, net income, etc.) in XBRL is called _________
A. XBRL specification. B. XBRL taxonomy. C. XBRL style sheet. D. XBRL instance document.
9-7 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
33. A computer-based information system that facilitates business decision-making activities is called a:
A. Data Warehouse B. Digital Dashboard C. Decision Support System D. Data Mart
34. Name three internal and three external databases that you think should be included in a data warehouse for Ford, Chrysler or General Motors. Support your answer.
35. Name three internal and three external databases that you think should be included in a data warehouse for Apple or Google. Support your answer.
9-8 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
36. Name five items that you think would be b e included in a digital d igital dashboard for your university. Why are these critical business processes for them?
37. Name five items that you think would be included in a digital dashboard for an o rganization that you are familiar with (church, sorority, local not-for-profit, etc.) Why are these critical business processes for them?
38. Why would general economic information (GDP, interest rates, etc.) be included in a data warehouse? Would they be more helpful for some companies than for others?
9-9 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
39. How would Apple Computer use a data mart in its marketing area? How does that help designers of the data warehouse know what to include?
40. Why would competitor information be included in a data warehouse? How would it be used?
41. Name five items that you think would be included in a digital dashboard for EBay. Why are these critical business processes for them?
9-10 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
42. Why is assurance needed on XBRL data? Why will financial analysts need assurance that the XBRL data is correct? Support your answer.
43. Why would the company want XBRL assurance if the IRS or SEC were going to be using its data?
44. There is a different XBRL taxonomy for each country, including XBRL Australia, XBRL Canada, XBRL Germany, XBRL Japan, XBRL-Netherlands, XBRL-US, and XBRL-UK. What would happen if there were only one XBRL taxonomy for all countries?
9-11 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
45. How would the XBRL style sheets be different for financial analysts as compared to the Internal Revenue Service?
46. Why is XBRL needed in the financial community? In your opinion, why did the Securities and Exchange Commission mandate its usage? What does it provide that was not available before XBRL?
47. How would XBRL GL be used for internal uses such as management management accounting?
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48. How would XBRL GL facilitate the SEC-required XBRL submission of a company's regulatory filings?
49. Data mining is often used to find patterns in stock prices to assist technical financial stock market analysts, or in commodities or currency trading. What are the benefits and concerns with using data mining to find patterns in stock prices? What would you need to feel comfortable enough to trade on these patterns?
50. Data warehouses often serve as the main repository of the firm's historical data, or in other words, its corporate memory, and will often serve as an archive of past firm performance. Besides past financial performance, what historical historical data would a firm like McDonald's be interested in archiving in its data warehouse?
9-13 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
9-14 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
Chapter 09 Reporting Processes and eXtensible Business Reporting Language (XBRL) Answer Key
1.
Data warehouses work together with operational systems to provide necessary insight, particularly in the case of customer relationship management (CRM) and supply chain management (SCM) systems.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-01 Explain how data warehouses are created and used. Source: Origina Topic: Data Warehouse
2.
Data warehouses are often designed to facilitate decision making such as those often used in managerial accounting and facilitate management by exception, such as variance reports, trend reports, variance analysis reports, and reports that show actual performance are compared to budgeted information.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-01 Explain how data warehouses are created and used. Source: Origina Topic: Data Warehouse
9-15 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
3.
If data mining may finds a statistical correlation or relationship between two data items, then there exists a plausible relationship between those two data items in the real world.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-02 Describe the basic components of business intelligence and how they are utilized in a firm. Source: Origina Topic: Business Intelligence
4.
XBRL is based on the XML language.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBR
5.
XBRL produces standardized reports and is not customizable.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
9-16 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
6.
XBRL GL (also known as XBRL Global Ledger Taxonomy) serves as a means to facilitate efficient communication within a firm.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
7.
XBRL serves as a means to electronically communicate business information information to facilitate business reporting of financial and nonfinancial data to users. XBRL greatly enhances the speed and accuracy of business reporting.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
8.
XBRL instance documents describe each key data element (e.g., total assets, accounts, payable, net income, etc.).
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
9-17 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
9.
XBRL allows highly disaggregated data so not only is it possible to know the level of sales, but it is possible to know sales revenue in much more detail.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
10.
Data warehouses gather information from external databases, but not from internal databases.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-01 Explain how data warehouses are created and used. Source: Origina Topic: Data Warehouse
11.
XBRL style sheets take the instance documents and add presentation elements to make XBRL filings readable by humans.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
9-18 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
12.
Bank loan officers and the IRS will likely have different XBRL style sheets for the various XBRL filings.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
13.
Since both are regulators, the SEC and the IRS will likely have similar XBRL style sheets for the various XBRL filings.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
14.
XBRL (eXtensible Business Reporting Language) is an open, global standard for exchanging financial reporting information.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
9-19 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
15.
Data Mining is a process of using sophisticated statistical techniques to extract and analyze data from large databases to discern patterns and trends that were not previously known.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-02 Describe the basic components of business intelligence and how they are utilized in a firm. Source: Origina Topic: Business Intelligence
16.
XBRL Instance Documents define and describe each key data element (e.g., total assets, accounts, payable, net income, etc.).
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Remembe Difficulty: 1 Eas Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
9-20 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
17.
Data mining is considered a technique of
A. Data Warehousing B. Project Management C. Data Martian Business Intelligence AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-02 Describe the basic components of business intelligence and how they are utilized in a firm. Source: Origina Topic: Data Mining
18.
A data warehouse may include a:
A. XBRL style sheet General Economic Information C. Digital Dashboard D. iPad Mini AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-01 Explain how data warehouses are created and used. Source: Origina Topic: Data Warehouse
9-21 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
19.
Ford may use business intelligence to:
A. Track the cost of parts on its its vehicles B. Monitor the price of their their pilots and flight attendants attendants Indicators of quality issues to pinpoint machinery failures in its assembly plants D. As inputs for its tax reporting system system AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-02 Describe the basic components of business intelligence and how they are utilized in a firm. Source: Origina Topic: Business Intelligence
20.
A collection of information gathered from an assortment of external and operational (i.e., internal) databases to facilitate reporting for decision making and business analysis is called
A. Business intelligence Data Warehouse C. Digital Dashboard D. XBRL D. AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-01 Explain how data warehouses are created and used. Source: Origina Topic: Data Warehouse
9-22 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
21.
The steps in business intelligence include:
Gather Information, Analyze Data for Patterns, Make Decision B. Analyze Data for Patterns, Patterns, Gather Information, Make Decision C. Create Data Warehouse, Warehouse, Query Data Data Warehouse, Make Make Decision D. Create Data Warehouse, Warehouse, Analyze Data Data for Patterns, Make Decision AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-02 Describe the basic components of business intelligence and how they are utilized in a firm. Source: Origina Topic: Business Intelligence
22.
Digital Dashboard tracks in a user-friendly way:
A. Airplane speed B. Critical business failures Critical business processes D. Critical business projects AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-03 Describe how digital dashboards allow for continuous tracking of key metrics. Source: Origina Topic: Digital Dashboard
9-23 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
23.
The first person to propose using XML be used as a means to electronically deliver financial information was:
A. Albert Gore Charles Hoffman C. Manuel Sanchez D. Kevin Kobelsky AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
24.
XBRL GL, or XBRL Global Ledger Taxonomy, is different from XBRL US GAAP because it facilitates:
A. Efficient communication communication between between the firm and and financial analysts. analysts. Efficient communication within a firm. C. Efficient communication communication between between the firm and and its suppliers. suppliers. D. Efficient communication communication between between the firm and and its customers. customers. AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-04 Explain how XBRL works and how it makes bus iness reporting more efficient. Source: Origina Topic: XBRL
9-24 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
25.
The stated advantages of XBRL GL include:
Flexibility B. Wide acceptance by the the market C. Scalability C. D. Network Effects AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
26.
XBRL assurance is generally expected to include:
A. The most current, standardized standardized XBRL XBRL taxonomy is used. B. The underlying underlying financial and nonfinancial data that is used used in XBRL tagging is reliable. C. The XBRL tagging is accurate and complete. The reports include all relevant financial and nonfinancial information. AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
9-25 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
27.
XBRL stands for
eXtensible Business Reporting Language. B. eXtensible Behavioral Reporting Language. C. eXtensible Book Reporting Reporting Language. Language. D. eXtensible Basic Reporting Language. Language. AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
28.
XBRL does all of the following except:
A. Enhances speed speed and accuracy accuracy of business business reporting. reporting. B. Provides major benefits in the the preparation, analysis analysis and communication communication of business business information. Serves as a universal standard for financial reporting information in the individual investor community. D. Facilitates business business reporting reporting of financial and and nonfinancial data. data. AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
9-26 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
29.
In February 2009, the _____________ passed the rule requiring all large domestic firms to begin formatting their financial statements using XBRL.
A. Financial Accounting Standards Board B. International Accounting Standards Board C. American Institute Institute of Certified Public Public Accountants Securities and Exchange Commission AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
30.
A document containing XBRL elements is called a:
XBRL Instance Document B. XBRL Style Sheet C. XBRL Report D. XBRL Taxonomy AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
9-27 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
31.
The process of using sophisticated statistical techniques to extract and analyze data from large databases to discern patterns and trends that were not pre viously known is called:
A. Data Mart Data Mining C. Data Warehouse D. Business Intelligence AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-02 Describe the basic components of business intelligence and how they are utilized in a firm. Source: Origina Topic: Business Intelligence
32.
The tool that defines and describes each key data element (e.g., total assets, accounts, payable, net income, etc.) in XBRL is called _________
A. XBRL specification. XBRL taxonomy. C. XBRL style sheet. D. XBRL instance document. AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
9-28 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
33.
A computer-based information system that facilitates business decision-making activities is called a:
A. Data Warehouse B. Digital Dashboard Decision Support System D. Data Mart AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Understan Difficulty: 2 Medium Learning Objective: 09-03 Describe how digital dashboards allow for continuous trackin g of key metrics. Source: Origina Topic: Digital Dashboard
34.
Name three internal and three external databases that you think should be included in a data warehouse for Ford, Chrysler or General Motor s. Support your answer.
Answers will vary depending on the student knowledge of a car company, but could include supplier info, financial statements and other financial reporting, general economics info, past car buying behavior, buyer demographics, etc.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-01 Explain how data warehouses are created and used. Source: Origina Topic: Data Warehouse
9-29 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
35.
Name three internal and three external databases that you think should b e included in a data warehouse for Apple or Google. Support your answer.
Answers will vary depending on the student knowledge of Apple and Google, but could include supplier info, financial statements and other financial reporting, general economics info, past smartphone buying behavior, buyer demographics, advertising models, etc.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-01 Explain how data warehouses are created and used. Source: Origina Topic: Data Warehouse
36.
Name five items that you think would be included in a digital dashboard for your university. Why are these critical business processes for them?
Answers will vary depending on the student knowledge of the university. Universities Universities always seem interest in total student credit hours, retention rate, recruiting information, high school GPA of incoming students, etc.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-03 Describe how digital dashboards allow for continuous tracking of key metrics. Source: Origina Topic: Digital Dashboard
9-30 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
37.
Name five items that you think would be included in a digital dashboard for an organization that you are familiar with (church, sorority, local not -for-profit, etc.) Why are these critical business processes for them?
Answers will vary depending on the student knowledge of the organization.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-03 Describe how digital dashboards allow for continuous tracking of key metrics. Source: Origina Topic: Digital Dashboard
38.
Why would general economic information (GDP, interest rates, etc.) be included in a data warehouse? Would they be more helpful for some companies than for others?
Answers will vary! All companies and their business models are affected by the general economic performance. Some businesses do better in a poo r economy, but the majority has worse performance. Some are tightly correlated to the economy and others are not; not ; therefore, some companies will have more interest in general economic information in their data warehouse than others.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Learning Objective: 09-03 Describe how digital dashboards allow for continuous tracking of key metrics. Source: Origina Topic: Digital Dashboard
9-31 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
39.
How would Apple Computer use a data mart in its marketing area? How does that help designers of the data warehouse know what to include?
Answers will vary! Designers of the data warehouse need to carefully query users of Apple's data mart to see what information is needed and what information might potentially be useful to know what to include.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-01 Explain how data warehouses are created and used. Source: Origina Topic: Data Warehouse
40.
Why would competitor information be included in a data warehouse? How would it be used?
Answers will vary! Generally, companies generally cannot get too much information about their competitors. Any prior trends or information that might be useful to predict competitor (and/or industry) performance might be useful.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-01 Explain how data warehouses are created and used. Source: Origina Topic: Data Warehouse
9-32 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
41.
Name five items that you think would be included in a digital dashboard for EBay. Why are these critical business processes for them?
Answers will vary! EBay might want to know that information that it's daily sales, the daily average dollar amount of each sale, some measure of its product mix, the number of new listings, referrals from its web site to other websites, etc. These all seem like critical data for its object of selling products and scooping up margins.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-03 Describe how digital dashboards allow for continuous tracking of key metrics. Source: Origina Topic: Digital Dashboard
42.
Why is assurance needed on XBRL data? Why will financial analysts need assurance that the XBRL data is correct? Support your answer.
Answers will vary! A potential solution might include that since XBRL can be quickly edited, changed and manipulated; it would be nice to have some assurances as to what standards were followed and that the numbers that come out of the XBRL have assurances associated with them.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-03 Describe how digital dashboards allow for continuous tracking of key metrics. Source: Origina Topic: Digital Dashboard
9-33 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
43.
Why would the company want XBRL assurance if the IRS or SEC were going to be using its data?
Answers will vary! A potential solution might include why the company wants to ensure that its information is getting to banks, shareholders, potential investors, financial analysts analysts in a way that provides assurance would be very useful to the company even if the IRS and SEC are using that data.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-03 Describe how digital dashboards allow for continuous tracking of key metrics. Source: Origina Topic: Digital Dashboard
44.
There is a different XBRL taxonomy for each country, including XBRL Australia, XBRL Canada, XBRL Germany, XBRL Japan, XBRL-Netherlands, XBRL-US, and XBRL-UK. What would happen if there were only one XBRL taxonomy for all countries?
Answers will vary! A potential solution might include a discus sion of the differences in accounting standards between countries and even that tagging/wording for a very similar account might be quite different due to culture and language.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
9-34 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
45.
How would the XBRL style sheets be different for financial analysts as compared to the Internal Revenue Service?
Answers will vary! A potential solution might include of the different roles of the IRS and financial analysts. The IRS is primarily interested in whether firms are paying sufficient taxes. Financial analysts are interested in earnings prediction and stock market valuation which often requires very different information; hence, a very different style sheet.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
46.
Why is XBRL needed in the financial community? In your opinion, why did the Securities and Exchange Commission mandate its usage? What does it provide that was not available before XBRL?
Answers will vary! A potential solution might include a discussion of the SEC and its role in establishing a level playing field for all investors. It might also include a discussion of the efficiencies gained by the SEC.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-04 Explain how XBRL works and how it makes business reporting more efficient. Source: Origina Topic: XBRL
9-35 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
47.
How would XBRL GL be used for internal uses such as management management accounting?
Answers will vary! A potential answer might include a discussion of how XBRL GL might be used to quickly and efficiently share financial and managerial information throughout the organization.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-03 Describe how digital dashboards allow for continuous tracking of key metrics. Source: Origina Topic: Digital Dashboard
48.
How would XBRL GL G L facilitate the SEC-required XBRL submission of a company's regulatory filings?
Answers will vary! A potential answer might include a discussion of how XBRL GL might be used to quickly and efficiently transmit information information required by the SEC.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-03 Describe how digital dashboards allow for continuous tracking of key metrics. Source: Origina Topic: Digital Dashboard
9-36 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
49.
Data mining is often used to find patterns in stock prices to assist technical financial stock market analysts, or in commodities or currency trading. What are the benefits and concerns with using data mining to find patterns in stock prices? What would you need to feel comfortable enough to trade on these patterns?
Answers will vary! A potential answer might include a discussion of the power of data mining in finding patterns. However, to the extent that these patterns of past performance do not correlate with future performance, an investor may not feel comfortable trading based on those patterns.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-03 Describe how digital dashboards allow for continuous tracking of key metrics. Source: Origina Topic: Digital Dashboard
50.
Data warehouses often serve as the main repository of the firm's historical data, or in other words, its corporate memory, and will often serve as an archive of past firm performance. Besides past financial performance, what historical data would a firm like McDonald's be interested in archiving in its data warehouse?
Answers will vary! A potential answer might include discussion of how data warehouses might detail past special promotions, special products, details on store locations that worked well, customer demographics, customer eating palette information, employee incentive programs, customer satisfaction, etc.
AACSB: Reflective Thinking AICPA BB: Industr AICPA FN: Decision Making Blooms: Analyze Difficulty: 3 Har Learning Objective: 09-03 Describe how digital dashboards allow for continuous tracking of key metrics. Source: Origina 9-37 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
Topic: Digital Dashboard
9-38 Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
