BI EXAM 1 QUESTIONS AND ANSWERS
Online transaction processing (OLTP) systems handle a company's routine ongoing
business. In contrast, a data warehouse is typically - Answer -a distinct system that
provides storage for data that will be made use of in analysis.
How are enterprise resources planning (ERP) systems related to supply chain
management (SCM) systems? - Answer -complementary systems
What has caused the growth of the demand for instant, on-demand access to dispersed
information? - Answer -the more pressing need to close the gap between the
operational data and strategic objectives.
Computer applications have moved from transaction processing and monitoring
activities to problem analysis and solution applications. - Answer -True
Decision support system (DSS) and management information system (MIS) have
precise definitions agreed to by practitioners. - Answer -False
In the 2000s, the DW-driven DSSs began to be called BI systems. - Answer -True
Information systems that support such transactions as ATM withdrawals, bank deposits,
and cash register scans at the grocery store represent transaction processing, a critical
branch of BI. - Answer -False
The use of dashboards and data visualizations is seldom effective in identifying issues
in organizations, as demonstrated by the Silvaris Corporation Case Study. - Answer -
False
In the Opening Vignette on Sports Analytics, what was adjusted to drive one-time ticket
sales? - Answer -ticket prices
Which of the following is NOT an example of transaction processing? - Answer -sales
report
Which type of visualization tool can be very helpful when the intention is to show relative
proportions of dollars per department allocated by a university administration? - Answer
-pie chart
Typical charts, graphs, and other visual elements used in visualization-based
applications usually involve ________ dimensions. - Answer -two
Predictive algorithms generally require a flat file with a target variable, so making data
analytics ready for prediction means that data sets must be transformed into a flat-file
format and made ready for ingestion into those predictive algorithms. - Answer -True
Online transaction processing (OLTP) systems handle a company's routine ongoing
business. In contrast, a data warehouse is typically - Answer -a distinct system that
provides storage for data that will be made use of in analysis.
How are enterprise resources planning (ERP) systems related to supply chain
management (SCM) systems? - Answer -complementary systems
What has caused the growth of the demand for instant, on-demand access to dispersed
information? - Answer -the more pressing need to close the gap between the
operational data and strategic objectives.
Computer applications have moved from transaction processing and monitoring
activities to problem analysis and solution applications. - Answer -True
Decision support system (DSS) and management information system (MIS) have
precise definitions agreed to by practitioners. - Answer -False
In the 2000s, the DW-driven DSSs began to be called BI systems. - Answer -True
Information systems that support such transactions as ATM withdrawals, bank deposits,
and cash register scans at the grocery store represent transaction processing, a critical
branch of BI. - Answer -False
The use of dashboards and data visualizations is seldom effective in identifying issues
in organizations, as demonstrated by the Silvaris Corporation Case Study. - Answer -
False
In the Opening Vignette on Sports Analytics, what was adjusted to drive one-time ticket
sales? - Answer -ticket prices
Which of the following is NOT an example of transaction processing? - Answer -sales
report
Which type of visualization tool can be very helpful when the intention is to show relative
proportions of dollars per department allocated by a university administration? - Answer
-pie chart
Typical charts, graphs, and other visual elements used in visualization-based
applications usually involve ________ dimensions. - Answer -two
Predictive algorithms generally require a flat file with a target variable, so making data
analytics ready for prediction means that data sets must be transformed into a flat-file
format and made ready for ingestion into those predictive algorithms. - Answer -True
