Business Intel and Analytics - Chapter 1 HW Q&A

BI applications must be integrated with A) databases. B) legacy systems. C) enterprise systems. D) all of these

D) all of these

Which of the following developments is NOT contributing to facilitating growth of decision support and analytics? A) collaboration technologies B) Big Data C) knowledge management systems D) locally concentrated workforces

D) locally concentrated workforces

In the Opening Vignette on Sports Analytics, what was adjusted to drive one-time ticket sales? A) player selections B) stadium location C) fan tweets D) ticket prices

D) ticket prices

The very design that makes an OLTP system efficient for transaction processing makes it inefficient for A) end-user ad hoc reports, queries, and analysis. B) transaction processing systems that constantly update operational databases. C) the collection of reputable sources of intelligence. D) transactions such as ATM withdrawals, where we need to reduce a bank balance accordingly.

A) end-user ad hoc reports, queries, and analysis.

The competitive imperatives for BI include all of the following EXCEPT A) right information B) right user C) right time D) right place

B) right user

In what decade did disjointed information systems begin to be integrated? A) 1970s B) 1980s C) 1990s D) 2000s

B) 1980s

Today, many vendors offer diversified tools, some of which are completely preprogrammed (called shells). How are these shells utilized? A) They are used for customization of BI solutions. B) All a user needs to do is insert the numbers. C) The shell provides a secure environment for the organization's BI data. D) They host an enterprise data warehouse that can assist in decision making.

B) All a user needs to do is insert the numbers.

How are enterprise resources planning (ERP) systems related to supply chain management (SCM) systems? A) different terms for the same system B) complementary systems C) mutually exclusive systems D) none of the above; these systems never interface

B) complementary systems

In the Opening Vignette on Sports Analytics, what type of modeling was used to predict offensive tactics? A) heuristics B) heat maps C) cascaded decision trees D) sentiment analysis

B) heat maps

What type of analytics seeks to recognize what is going on as well as the likely forecast and make decisions to achieve the best performance possible? A) descriptive B) prescriptive C) predictive D) domain

B) prescriptive

Relational databases began to be used in the A) 1960s. B) 1970s. C) 1980s. D) 1990s.

C) 1980s.

Online transaction processing (OLTP) systems handle a company's routine ongoing business. In contrast, a data warehouse is typically A) the end result of BI processes and operations. B) a repository of actionable intelligence obtained from a data mart. C) a distinct system that provides storage for data that will be made use of in analysis. D) an integral subsystem of an online analytical processing (OLAP) system.

C) a distinct system that provides storage for data that will be made use of in analysis.

Business applications have moved from transaction processing and monitoring to other activities. Which of the following is NOT one of those activities? A) problem analysis B) solution applications C) data monitoring D) mobile access

C) data monitoring

The need for more versatile reporting than what was available in 1980s era ERP systems led to the development of what type of system? A) management information systems B) relational databases C) executive information systems D) data warehouses

C) executive information systems

What type of analytics seeks to determine what is likely to happen in the future? A) descriptive B) prescriptive C) predictive D) domain

C) predictive

Which of the following is NOT an example of transaction processing? A) ATM withdrawal B) bank deposit C) sales report D) cash register scans

C) sales report

What has caused the growth of the demand for instant, on-demand access to dispersed information? A) the increasing divide between users who focus on the strategic level and those who are more oriented to the tactical level B) the need to create a database infrastructure that is always online and contains all the information from the OLTP systems C) the more pressing need to close the gap between the operational data and strategic objectives D) the fact that BI cannot simply be a technical exercise for the information systems department

C) the more pressing need to close the gap between the operational data and strategic objectives

Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce. One reason for this is A) centralized storage creates too many vulnerabilities. B) the "Big" in Big Data necessitates over 10,000 processing nodes. C) the processing power needed for the centralized model would overload a single computer. D) Big Data systems have to match the geographical spread of social media.

C) the processing power needed for the centralized model would overload a single computer.

Which of the following is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies? A) MIS B) DSS C) ERP D) BI

D) BI

Which of the following statements about Big Data is true? A) Data chunks are stored in different locations on one computer. B) Hadoop is a type of processor used to process Big Data applications. C) MapReduce is a storage filing system. D) Pure Big Data systems do not involve fault tolerance.

D) Pure Big Data systems do not involve fault tolerance.

T/F BI represents a bold new paradigm in which the company's business strategy must be aligned to its business intelligence analysis initiatives.

F

T/F Demands for instant, on-demand access to dispersed information decrease as firms successfully integrate BI into their operations.

F

T/F Managing information on operations, customers, internal procedures and employee interactions is the domain of cognitive science.

F

______________ analytics help managers understand probable future outcomes.

Predictive

______________ analytics help managers make decisions to achieve the best performance in the future.

Prescriptive

T/F Managing data warehouses requires special methods, including parallel computing and/or Hadoop/Spark.

T