Test Bank for M: Information Systems, 7th Edition by Paige Baltzan
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Management Information Systems
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Management Information Systems
Test Bank for M: Information Systems, 7th Edition 7e by Paige Baltzan. ISBN-13: 9909
Full Chapters test banks are included - all chapters
MODULE ONE: BUSINESS DRIVEN MIS
CHAPTER 1: Management Information Systems: Business Driven MIS
CHAPTER 2: Decisions + Processes: Value Driven Busi...
Chap 01 7e Baltzan
1) Companies today are successful when they combine the power of the information age with
traditional business methods.
⊚ true
⊚ false
2) Diagnostic analytics is information collected from multiple sources such as suppliers,
customers, competitors, partners, and industries that analyzes patterns, trends, and
relationships for strategic decision making.
⊚ true
⊚ false
3) Business intelligence is information collected from multiple sources such as suppliers,
customers, competitors, partners, and industries that analyzes patterns, trends, and
relationships for strategic decision making.
⊚ true
⊚ false
4) The information age is a time infinite quantities of facts are widely available to anyone who
can use a computer.
⊚ true
⊚ false
5) Top managers use bits to define the future of the business, analyzing markets, industries and
economies to determine the strategic direction the company must follow to remain
unprofitable.
⊚ true
⊚ false
6) A variable is a business intelligence characteristic that stands for a value that cannot change
over time.
⊚ true
⊚ false
1
,7) A fact is the confirmation or validation of an event or object. In the past, people primarily
learned facts from books.
⊚ true
⊚ false
8) Zappos primary business focus is to sell books and competitive intelligence.
⊚ true
⊚ false
9) Order date, amount sold, and customer number are all forms of data.
⊚ true
⊚ false
10) Choosing not to fire a sales representative who is underperforming while knowing that the
representative is experiencing family problems is a form of knowledge.
⊚ true
⊚ false
11) Information is data converted into a meaningful and useful context. The truth about
information is that its value is only as good as the people who use it. People using the same
information can make different decisions depending on how they interpret or analyze the
information.
⊚ true
⊚ false
12) The Internet of Things (IoT) is a world where interconnected, Internet-enabled devices or
“things” can collect and share data without human intervention.
⊚ true
⊚ false
13) Machine-to-machine (M2M) refers to devices that connect directly to other devices.
⊚ true
⊚ false
2
,14) The Internet of Things (IoT) refers to devices that connect directly to other devices.
⊚ true
⊚ false
15) Predictive analytics extracts information from data and uses it to predict future trends and
identify behavioral patterns.
⊚ true
⊚ false
16) Predictive analytics is a world where interconnected, Internet-enabled devices or “things” can
collect and share data without human intervention.
⊚ true
⊚ false
17) Top managers use predictive analytics to define the future of the business, analyzing markets,
industries, and economies to determine the strategic direction the company must follow to
remain profitable. Tony will set the strategic direction for his firm, which might include
introducing new flavors of potato chips or sports drinks as new product lines or schools and
hospitals as new market segments.
⊚ true
⊚ false
18) A data analyst collects, queries, and consumers organizational data to uncover patterns and
provide insights for strategic business decision making.
⊚ true
⊚ false
19) Knowledge workers are individuals valued for their ability to mitigate risk and implement
critical human resource and accounting rules and regulations.
⊚ true
⊚ false
3
, 20) Using only data and information to make decisions and solve problems is the key to finding
success in business. These are also the only core drivers of the information age and the
building blocks of business systems.
⊚ true
⊚ false
21) Big data is a collection of large complex datasets, which cannot be analyzed using traditional
database methods and tools.
⊚ true
⊚ false
22) The four common characteristics of big data include variety, veracity, volume, velocity.
⊚ true
⊚ false
23) Variety in big data includes different forms of structured and unstructured data.
⊚ true
⊚ false
24) Veracity in big data includes the uncertainty of data, including biases, noise, and
abnormalities.
⊚ true
⊚ false
25) Volume in big data includes the scale of data.
⊚ true
⊚ false
26) Velocity in big data includes the analysis of streaming data as it travels around the Internet.
⊚ true
⊚ false
4
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