In the Magpie Sensing case study, the automated collection of temperature and humidity data on shipped goods helped with various types of analytics. Which of the following is an example of prescriptive analytics?
a) optimal temperature setting
b) real time reports of the shipment’s temperature
c) warning of an open shipment seal
d) location of the shipment
optimal temperature setting
In addition to deploying business intelligence (BI) systems, companies may also perform other actions to counter business pressures, such as improving customer service and entering business alliances. (T/F)
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. (T/F)
The success of BI is assured not because of which personnel would be the most likely to use it, but as a result of pervasive adoption across the organization. (T/F)
The success of BI depends, in part, on which personnel in the organization would be the most likely to make use of BI. One of the most important aspects of a successful BI is that it must be of benefit to the enterprise as a whole.
What can the BI users in an organization help guide and direct?
a) how to implement and deploy a BI initiative that can be lengthy, expensive, and failure prone
b) how the DW is structured and the types of BI tools and other supporting software that are needed
c) how to decompose the planning and execution into business, organization, functionality, and infrastructure components
d) how the DW is structured and the costs and the appreciation for different classes of potential users
how the DW is structured and the types of BI tools and other supporting software that are needed
Business intelligence (BI) can be characterized as a transformation of
data to information to decisions to actions
In answering the question “Which customers are likely to be using fake credit cards?” you are most likely to use which of the following analytic applications?
a) customer segmentation
b) channel optimization
c) customer profitability
d) fraud detection
The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball case study, is an example of the effectiveness of predictive analytics. (T/F)
Once a data warehouse is in place, the general process of intelligence creation begins with
identifying and prioritizing specific BI projects
The term intelligence in a BI context is used to describe clandestine operations dedicated to stealing corporate secrets, in the manner of the government’s CIA and other covert agencies. (T/F)
That’s espionage. BI intelligence refers to how modern companies ethically and legally organize themselves to glean as much as they can from customers, their business environment, their stakeholders, their business processes, their competitors, and other such sources.
Information systems that support such transactions as ATM withdrawals, bank deposits, and cash register scans at the grocery store represent transaction processing, one of the critical components of BI. (T/F)
BI is not transaction processing. Those transaction processing systems are involved in handling updates to operational databases. OLTP (Online Transaction Processing) systems handle a company’s routine business.
Actionable intelligence is the primary goal of modern-day Business Intelligence (BI) systems vs. historical reporting that characterized Management Information Systems (MIS). (T/F)
The very design that makes an OLTP system efficient for transaction processing makes it inefficient for what?
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
end-user ad hoc reports, queries, and analysis
One of the four components of BI systems, business performance management, is a collection of source data in the data warehouse. (T/F)
A BI system has four components: (1) a data warehouse, with its source data; (2) business analytics, a collection of tools for maipulating, mining, and analyzing the data in the DW; (3) business performance management (BPM) for monitoring and analyzing performance; (4) and a user interface (e.g. a dashboard)
If a company’s strategy is properly aligned with DW and BI initiatives, and if the company’s IS organization can be made capable of playing its role in such a project, and if the requisite user community is in place and has the proper motivation, then
a) it is no longer necessary to start BI within the company.
b) it is wise to start BI and establish a BI Competency Center (BICC) within the company.
c) the organization is ready for the introduction of new data-generating technologies, such as radio-frequency identification (RFID).
d) business leaders are required to document their business processes and to sign off on the legitimacy of the information they rely on.
it is wise to start BI and establish a BI Competency Center (BICC) within the company
The access to data and ability to manipulate data (frequently including real-time data) are key elements of business intelligence (BI) systems. (T/F)
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) reactive actions
b) anticipative actions
c) adaptive actions
d) retroactive actions
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. (T/F)
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. (T/F)
The two critical partnerships required for BI governance are (a) a partnership between functional area HEADS and/or product/service area LEADERS (middles), and (b) a partnership between potential customers and providers (representatives of the business and IT sides).
CH2 Organizations seldom devote a lot of effort to creating metadata because it is not important for the effective use of data warehouses. (T/F)
CH2 Because of performance and data quality issues, most experts agree that the federated architecture should supplement data warehouses, not replace them. (T/F)
CH2 Data warehouse administrators (DWAs) do not need strong business insight since they only handle the technical aspect of the infrastructure. (T/F)
CH2 OLTP systems are designed to handle ad hoc analysis and complex queries that deal with many data items. (T/F)
CH2 OLTP databases are optimized for output (querying/asking questions of the data) and data warehouses are optimized for input (getting new or updated data into the database). (T/F)
Ch2 Operational or transaction databases are product oriented, handling transactions that update the database. In contrast, data warehouses are
subject oriented and nonvolatile
Subject oriented databases for data warehousing are organized by detailed subjects such as disk drives, computers, and networks (T/F)
Data warehouses are subsets of data marts. (T/F)
One way an operational data store differs from a data warehouse is the recency of their data. (T/F)
Active data warehousing can be used to support the highest level of decision making sophistication and power. The major feature that enables this in relation to handling the data is
speed of data transfer
Which of the following is a common way of visualizing the frequency distribution of data points over a range of possible values?
Statistical Data Variable Type: A variable that contains the values of United States Zip Codes (aka Postal Codes) would best be categorized as which of the following variable types?
Statistical Data Variable Type: A variable that contains a countable number of distinct values would best be categorized as which of the following variable types?
Statistical Data Variable Type: There is a web-based survey that asks you, “On a rating of 1(hated it) to 5(loved it), how much did you like the movie.” This value is stored in your database and you need to categorize the statistical variable type. Which of the following variable types would be best?
Statistical Data Variable Type: A variable that contains the values of either Yes or No would best be categorized as which of the following variable types?
Computerized support is only used for organizational decisions that are responses to external pressures, not for taking advantage of opportunities. (T/F)
The Business Pressures-Response-Support Model has three components: business pressures that result from today’s business climate; responses (actions taken) by companies to counter the pressures or to take advantage of the opportunities available; and computerized support that facilitates the monitoring of the environment and enhances the response actions taken by the organizations.
Which of the following is NOT an example that falls within the four major categories of business environment factors for today’s organizations?
a) increased competition
b) increased pool of customers
c) fewer government regulations
fewer government regulations
How are descriptive analytics methods different from the other two types?
a) They answer “what-is?” queries, not “what will be?” queries.
b) They answer “what to do?” queries, not “what-if?” queries.
c) They answer “what will be?” queries, not “what to do?” queries.
d) They answer “what-if?” queries, not “how many?” queries.
a) They answer “what-is?” queries, not “what will be?” queries.
Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce. One reason for this is:
a) the “Big” in Big Data necessitates over 10,000 processing nodes.
b) the processing power needed for the centralized model would overload a single computer.
c) Big Data system have to match the geographical spread of social media.
d) centralized storage creates too many vulnerabilities.
the processing power needed for the centralized model would overload a single computer.
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