Information Systems 5th Edition By Baltzan – Test Bank
M: Information Systems, 5e (Baltzan)
Chapter 1Â Management Information Systems: Business Driven MIS
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1) Companies today are successful when they combine the power of the information age with traditional business methods.
2) Competitive 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.
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.
4) The information age is the present time, during which infinite quantities of facts are widely available to anyone who can use a computer.
5) Technology provides countless business opportunities, but can also lead to pitfalls and traps for a business.
6) Top managers use social intelligence to define the future of the business, analyzing markets, industries and economies to determine the strategic direction the company must follow to remain unprofitable.
7) A variable is a business intelligence characteristic that stands for a value that cannot change over time.
8) A fact is the confirmation or validation of an event or object. In the past, people primarily learned facts from books.
9) Zappos is not a technology company; its primary business focus is to sell books.
10) Order date, amount sold, and customer number are all forms of data.
11) Choosing not to fire a sales representative who is underperforming knowing that person is experiencing family problems is a form of knowledge.
12) 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.
13) The Internet of Things (IoT) is a world where interconnected, Internet-enabled devices or “things” can collect and share data without human intervention.
14) Machine to machine (M2M) refers to devices that connect directly to other devices.
15) The Internet of Things (IoT) refers to devices that connect directly to other devices.
16) Predictive analytics extracts information from data and uses it to predict future trends and identify behavioral patterns.
17) Predictive analytics is a world where interconnected, Internet-enabled devices or “things” can collect and share data without human intervention.
18) 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.
19) Machine to machine (M2M) extracts information from data and uses it to predict future trends and identify behavioral patterns.
20) Knowledge workers are individuals valued for their ability to mitigate risk and implement critical human resource rules and regulations.
21) 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.
22) Big data is a collection of large complex data sets, including structured and unstructured, which cannot be analyzed using traditional database methods and tools.
23) Big data is a view of data at a particular moment in time.
24) A snapshot is a view of data at a particular moment in time.
25) A static report can include updating daily stock market prices or the calculation of available inventory.
26) A dynamic report can include updating daily stock market prices or the calculation of available inventory.
27) Business analytics is the scientific process of transforming data into insight for making better decisions.
28) Descriptive analytics use techniques that describe past performance and history.
29) Predictive analytics use techniques that extract information from data and use it to predict future trends and identify behavioral patterns.
30) Prescriptive analytics use techniques that create models indicating the best decision to make or course of action to take.
31) Knowledge assets, also called intellectual capital, are the human, structural, and recorded resources available to the organization.
32) Knowledge assets reside within the minds of members, customers, and colleagues and include physical structures and recorded media.
33) Knowledge facilitators help harness the wealth of knowledge in the organization.
34) Descriptive analytics is the scientific process of transforming data into insight for making better decisions.
35) Business analytics use techniques that describe past performance and history.
36) Prescriptive analytics use techniques that extract information from data and use it to predict future trends and identify behavioral patterns.
37) Predictive analytics use techniques that create models indicating the best decision to make or course of action to take.
38) Analytics, also called intellectual capital, are the human, structural, and recorded resources available to the organization.
39) Predictive analytics use techniques that create models indicating the best decision to make or course of action to take.
40) Structured data extracts information from data and uses it to predict future trends and identify behavioral patterns.
41) Unstructured data extracts information from data and uses it to predict future trends and identify behavioral patterns.
42) Structured data is data that has a defined length, type, and format and includes numbers, dates, or strings such as Customer Address.
43) Unstructured data is data that is not defined and does not follow a specified format and is typically free-form text such as emails, Twitter tweets, and text messages.
44) Unstructured data is data that has a defined length, type, and format and includes numbers, dates, or strings such as Customer Address.
45) Structured data is data that is not defined and does not follow a specified format and is typically free-form text such as emails, Twitter tweets, and text messages.
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