Ch. 1 Business Analytics

Business applications have moved from transaction processing and monitoring to other activities. Which of the following is NOT one of those activities?

Data Monitoring

________ providers focus on providing technology and services aimed toward integrating data from multiple sources.

Data Warehouse

________ analytics help managers understand current events in the organization including causes, trends, and patterns.

Descriptive

Successful BI is a tool for the information systems department, but is not exposed to the larger organization.

False

The filing system developed by Google to handle Big Data storage challenges is known as the ________ Distributed File System.

Hadoop

Many business users in the 1980s referred to their 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

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

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

A(n) ________ is a major component of a Business Intelligence (BI) system that is often browser based and often presents a portal or dashboard.

User Interface

The Google search engine is an example of Big Data in that it has to search and index billions of ________ in fractions of a second for each search.

Web Pages

Online transaction processing (OLTP) 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.

Data warehouses are intended to work with informational data used for online ________ processing systems.

analytical

Organizations using BI systems are typically seeking to ________ the gap between the operational data and strategic objectives has become more pressing.

close

________ cycle times are now extremely compressed, faster, and more informed across industries.

Business

The user interface of a BI system is often referred to as a(n) ________.

dashboard

A(n) ________ is a major component of a Business Intelligence (BI) system that holds source data.

data warehouse

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

end-user ad hoc reports, queries, and analysis

As the number of potential BI applications increases, the need to justify and prioritize them arises. This is not an easy task due to the large number of ________ benefits.

intangible

Software monitors referred to as ________ can be placed on a separate server in the network and use event- and process-based approaches to measure and monitor operational processes.

intelligent agents

Which of the following developments is NOT contributing to facilitating growth of decision support and analytics?

locally concentrated workforces

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

Which of the following is NOT an example of transaction processing?

sales report

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.

Relational databases began to be used in the

1980s

Fundamental reasons for investing in BI must be ________ with the company's business strategy.

Aligned

Today, many vendors offer diversified tools, some of which are completely preprogrammed (called shells). How are these shells utilized?

All a user needs to do is insert the numbers.

BI applications must be integrated with

All of these

Different types of players are identified and described in the analytics ________.

Ecosystem

(T/F) Business intelligence (BI) is a specific term that describes architectures and tools only.

False

(T/F) Data generation is a precursor, and is not included in the analytics ecosystem

False

(T/F) Decision support system (DSS) and management information system (MIS) have precise definitions agreed to by practitioners.

False

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

False

(T/F) Due to industry consolidation, the analytics ecosystem consists of only a handful of players across several functional areas.

False

(T/F) 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

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

False

(T/F) The growth in hardware, software, and network capacities has had little impact on modern BI innovations.

False

(T/F) The use of dashboards and data visualizations is seldom effective in identifying issues in organizations, as demonstrated by the Silvaris Corporation Case Study.

False

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

Predictive

________ analytics help managers understand probable future outcomes.

Predictive

Which of the following statements about Big Data is true?

Pure Big Data systems do not involve fault tolerance.

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

They explore massive amounts of data in hours, not days

Today, many vendors offer diversified tools, some of which are completely preprogrammed (called shells). How are these shells utilized?

They host an enterprise data warehouse that can assist in decision making.

(T/F) In the 2000s, the DW-driven DSSs began to be called BI systems.

True