Big Data Test 1

Business intelligence (BI) can be characterized as a transformation of A) data to info to decisions to actions B) Big Data to data to info to decisions C) actions to decision to feedback to info D) data to processing to into to actions.

A

In answering the question "which customers are likely to be using fake credit cards?" you are most likely to use which of the following analytics applications? A) channel optimization B) customer segmentation C) fraud detection D)customer profitability

C

Which of the following is NOT an example that falls within the four major categories of business environment factors for todays organizations? a)increased pool of customers b) globalization c) fewer govt regualtions d)increased competition

C

In the Magpie Sensing case study, the automated collections of temperature and humidity data in shipped goods helped with various types of analytics. Which of the following is an example of prescriptive analytics? a) real time reports of the shipments temp b) warning of an open shipment c) location o f the shipment d)optimal temperature settings

D

Organizations counter the pressures they experience in their business environments in multiple ways. Which of the following is NOT an effective way to counter these pressures? A) anticipative actions B) adaptive actions C)reactive actions D)retroactive actions

D

Almost all BI applications are constructed with shells provided by an outsourcing provider who may themselves create custom solution for a vendor or work with another client.

False

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

False

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

False

Information systems that support such transactions as ATM withdrawal, bank deposits, and cash register scans at the groceries tore represents transaction processing , a critical branch of BI.

False

One of the four components of BI systems, business performance management, is a collection of source data in the data warehouse.

False

Pushing programming out to distributed data is achieved solely by using the Hadoop distributed File System of HDFS.

False

The complexity of today -business environment creates many new challenges for organizations, such as global competition, but creates few new opportunities in return.

False

The term intelligence in a BI context is used to describe clandestine operations dedicated to stealing corporate secrets, int he manner of the govt CIA and other covert agencies.

False

The two critical partnerships required for BI governance are (a) a partnership between functional area users and/or product.service area employees, and (b) a partnership between representatives of the marketing and vendor sides.

False

The use of dashboards and data visualizations is seldom effective in finding efficiencies in organizations, as demonstrated by the Seattle Children's Hospital Case Study.

False

Actionable intelligence is the primary goal of modernday busines /ntelligence /) systems vs. historical reporting that characterized management /nformation systems (MIS)

True

Data warehouse and BI/ initiatives typically follow a process similar to that used in military intelligence initiatives.

True

In addition to deploying business intelligence systems, companies may also perform other actions to counter business pressures, such as improving customer service and entering business alliances.

True

Many business users in the 1980s referred to their mainframes as the "black hole", because all the information went into, but little ever comeback and ad hoc real-time querying was virtually impossible.

True

The access to data and ability to manipulate data (frequently including realtime data) are key elements of business intelligence systems.

True

The overwhelming majority of competitive actions taken by businesses today feature computerized information system support.

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 analysis.

True

Traditional BI systems use a large volume of static data that has been extracted, cleansed, and loaded into a data ware house to produce reports and analyses.

True

Volume, velocity, and variety of data characterize the Big Data paradigm.

True