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

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.

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

PCs and, increasingly, mobile devices are the most common means of providing managers with information to directly support decision making, instead of using IT staff intermediaries.

In today's business environment, creativity, intuition, and interpersonal skills are effective substitutes for analytical decision making.

In a four-step process for decision making, managers construct a model of the problem before they evaluate potential solutions.

Due to the fact that business environments are now more complex than ever, trial-anderror is an effective means of arriving at acceptable solutions.

Group collaboration software has proved generally ineffective at improving decisionmaking.

Due to the fact that organizations seek to store greater amounts of data than ever before, the cost per byte of computer-based data storage devices is rapidly rising.

Computerized information systems help decision makers overcome human cognitive limitations in assembling and processing varied information. However, this is of little use in most analytical applications.

In the Gorry and Scott-Morton framework of structured, semi-structured, and unstructured decisions, computerized decision support can bring benefits to unstructured decisions.

The term decision support system is a very specific term that implies the same tool, system, and development approach to most developers.

The access to data and ability to manipulate data (frequently including real-time data) are key elements of business intelligence (BI) systems.

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

Actionable intelligence is the primary goal of modern-day Business Intelligence (BI) systems vs. historical reporting that characterized Management Information Systems (MIS).

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.

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.

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

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

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?

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 predictive analytics?

Which of the following is NOT an example that falls within the four major categories of business environment factors for today's organizations?

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?

Which of the following activities permeates nearly all managerial activity?

Why are analytical decision making skills now viewed as more important than interpersonal skills for an organization's managers?

Business environments and government requirements are becoming more complex. All of the following actions to manage this complexity would be appropriate EXCEPT

The deployment of large data warehouses with terabytes or even petabytes of data been crucial to the growth of decision support. All the following explain why EXCEPT

Which of the following statements about cognitive limits of organizational decision makers is true?

For the majority of organizations, evaluating the credit rating of a potential business partner is a(n)

For the majority of organizations, a daily accounts receivable transaction is a(n)

All of the following may be viewed as decision support systems EXCEPT

Business intelligence (BI) can be characterized as a transformation of

In answering the question "Which customers are most likely to click on my online ads and purchase my goods?", you are most likely to use which of the following analytic applications?

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?

When Sabre developed their Enterprise Data Warehouse, they chose to use near-real-time updating of their database. The main reason they did so was

How are descriptive analytics methods different from the other two types?

Prescriptive BI capabilities are viewed as more powerful than predictive ones for all the following reasons EXCEPT

Which of the following statements about Big Data is true?

Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce. One reason for this is

When HP approaches problem-solving, the first step in solving business problems is building a model that enables decision makers to develop a good understanding of the problem.

In a decision making environment, continuous change always validates the assumptions of the decision makers.

The most important feature of management support systems is the computational efficiency involved in making a decision.

Web-based decision support systems can provide support to both individuals and groups that act in a decision-making capacity.

Single decision makers rarely face decisions with multiple objectives in organizations and so are not the focus of data analytics tools.

The design phase of decision making is where the decision maker examines reality and identifies and defines the problem.

Only after the failed implementation of a decision can the decision maker return a prior stage of decision making.

Web-based collaboration tools (e.g., GSS) can assist in multiple stages of decision making, not just the intelligence phase.

Uncovering the existence of a problem can be achieved through monitoring and analyzing of the organization's productivity level. The derived measurements of productivity are based on real data

Qualitative elements of a problem cannot be incorporated into formal decision models, so one can only seek to minimize their impact.

Since the business environment involves considerable uncertainty, a manager cannot use modeling to estimate the risks resulting from specific actions.

A normative model examines all the possible alternatives in order to prove that the one selected is the best.

Since a descriptive model checks the performance of the system for only a subset of all possible alternatives, there is no guarantee that a selected alternative will be optimal.

Generating alternatives manually is often necessary in the model-building process. The best option for the decision makers is to generate as many of these alternatives as is conceivable.

Generally speaking, people intuitively estimate risk quite accurately.

A data warehouse can support the intelligence phase of decision making by continuously monitoring both internal and external information, looking for early signs of problems and opportunities through a Web-based enterprise information portal or dashboard.

Business intelligence systems typically support solving a certain problem or evaluate an opportunity, while decision support systems monitor situations and identify problems and/or opportunities, using analytic methods.

Artificial intelligence-based DSS fall into this category of document-driven DSS.

Knowledge-based management subsystems provide intelligence to augment the decision maker's own intelligence.

The DSS component that includes the financial, statistical, management science, or other quantitative models is called the model management subsystem.

The HP Case illustrates that after analytics are chosen to solve a problem, building a new decision model from scratch or purchasing one may not always be the best approach. Why is that?

Groupthink in a decision-making environment occurs when

All of the following statements about decision style are true EXCEPT

A search for alternatives occurs in which phase of the decision making/action model?

All of the following are benefits of using models for decision support EXCEPT

In the design phase of decision making, selecting a principle of choice or criteria means that

What form of decision theory assumes that decision makers are rational beings who always seek to strictly maximize economic goals?

When an Accounts Payable department improves their information system resulting in faster payments to vendors, without the Accounts Receivable Department doing the same, leading to a cash flow crunch, what can we say happened in decision-theoretic terms?

All of the following statements about risk in decision making are correct EXCEPT

The Web can play a significant role in making large amounts of information available to decision makers. Decision makers must be careful that this glut of information does not

All of the following statements about the decision implementation phases are true EXCEPT

For DSS, why are semistructured or unstructured decisions the main focus of support?

What class of DSS incorporates simulation and optimization?

When a DSS is built, used successfully and integrated into the company's business processes, it was most likely built for a(n)

The fact that many organizations share many similar problems means that in sourcing a DSS, it is often wiser to acquire a(n)

The software that manages the DSS database and enables relevant data to be accessed by DSS application programs is called

The model management subsystem provides the system's analytical capabilities and appropriate software management. Which of the following is NOT an element of the model management subsystem?

While Microsoft Excel can be an efficient tool for developing a DSS, compared to using a programming language like C++, a shortcoming of Excel is

What type of user interface has been recognized as an effective DSS GUI because it is familiar, user friendly, and a gateway to almost all sources of necessary information and data?

The user communicates with and commands the DSS through the user interface subsystem. Researchers assert that some of the unique contributions of DSS are derived from

The access to data and ability to manipulate data (frequently including real-time data) are key elements of business intelligence (BI) systems.