Final exam 3ke3

computerized support is only used for organizational decisions that are responses to external pressures, not for taking advantage of opportunities

false

during the early day of analytics, data was often obtained from the domain experts using manual processes to build mathematical or knowledge-based models

true

computer applications have moved from transaction processing and monitoring activities to problem analysis and solution applications

true

business intelligence is a specific term that describes architecture and tools only

false

the growth in hardware, software, and network capacities has had little impact on modern BI innovations

false

managing data warehouses requires special methods, including parallel computing and or hadoop/spark

true

managing information on operations, customers, internal procedures, and employee interactions is the domain of cognitive science

false

decision support system (DSS) and management information system (MIS) have precise definitions agreed to by practitioners

false

in the 2000s, the DW driven DSSs began to be called BI systems

true

major commercial business intelligence products and services were well established in the early 1970s

false

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

false

many business users in the 1980s referred to the mainframes as "the black hole" because all the information went into it, but little ever came back and ad hoc real time querying was virtually impossible

true

successful BI is a toll for the information systems department, but it is not exposed to the larger organization

false

BI represents a bold new paradigm in which the company's business strategy must be aligned to its business intelligence analysis initiatives

false

traditional BI systems use a large volume of static data that has been extracted, cleansed, and loaded into a data warehouse to produce reports and analyses

true

demands for instant, on demand access to dispersed information decrease as firms successfully integrate BI into their operations

false

the use of dashboards and data visualizations is seldom effective in identifying issues in organizations, as demonstrated by the Silvaris Corportation Case Study

false

the use of statistics in baseball by the Oakland Athletics, as described in the moneyball case study, is an example of the effectiveness of prescriptive analytics

true

due to industry consolidation, the analytics ecosystem consists of only a handful of players across several functional areas

false

data generation is a precursor, and is included in the analytics ecosystem

false

in the opening vignette on sports analytics, what was adjusted to drive one-time ticket sales

ticket prices

in the opening vignette on sports analytics, what type of modelling was used to predict offensive tactics

heat maps

business applications have moved from transaction processing and monitoring to other activities. which of the following is not one of those activities

data monitoring

which of the following developments is not contributing to facilitating growth of decision support and analytics

locally concentrated workforces

in what decade did disjointed information systems began to be integrated

1980s

relational databases began to be used in the

1980s

the need for more versatile reporting than what was available in 1980s era ERP systems led to the development of what type of system

executive information systems

which of the following is an umbrella term that combines architectures, tools, databases, analytical tools, applications and methodologies

BI

the competitive imperatives for BI include all of the following except

right user

which of the following is not an example of transaction processing

sales report

online transaction processing systems handle a company's routine ongoing business. in contrast, a data warehouse is typically

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

the very design that makes an OLTP system efficient for transaction processing makes it inefficient for

end-user ad hoc reports, queries, and analysis

how are enterprise resource planning systems related to supply chain management systems

complementary systems

BI applications must be integrated with

all of these
(databases, legacy systems, enterprise systems)

what has caused the growth of the demand for instant, on demand access to dispersed information

the more pressing need to close the gap between the operational data and strategic objective

today, many vendors offer diversified tools, some of which are completely preprogrammed. how are these shells utilized?

all a user needs to do is insert the numbers

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?

prescriptive

what type of analytics seeks to determine what is likely to happen in the future?

predictive

which of the following statements about Big Data is true?

pure big data systems do not involve fault tolerance

big data often involves a form of distributed storage and processing using Hadoop and Mapreduce. one reason for this is

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

fundamental reasons for investing in BI must be \_____ with the company's business strategy

aligned