BSAD Final

Why is a performance management system superior to a performance measurement system? a. because performance management systems cost more b. because measurement automatically leads to problem solution c. because measurement alone has little use without action d. because performance measurement systems are only in their infancy

Because Performance measurement systems are only in their infancy

What is the main reason parallel processing is sometimes used for data mining? a. because of the massive data amounts and search efforts involved b. because any strategic application requires parallel processing c. because the hardware exists in most organizations, and it is available to use d. because most of the algorithms used for data mining require it

Because any strategic application requires parallel processing

In text mining, tokenizing is the process of a. categorizing a block of text in a sentence. b. reducing multiple words to their base or root. c. transforming the term-by-document matrix to a manageable size. d. creating new branches or stems of recorded paragraphs.

categorizing a block of text in a sentence

Which broad area of data mining applications partitions a collection of objects into natural groupings with similar features? a. Clustering b. visualization c. associations d. classification

clustering

What is a more general form of an influence diagram called? a. forecast. b. cognitive map. c. environmental scan. d. static model.

cognitive map

GPS Navigation is an example of which kind of location-based analytics? a. consumer-oriented geospatial static approach b. organization-oriented location-based dynamic approach c. consumer-oriented location-based dynamic approach d. organization-oriented geospatial static approach

consumer-oriented geospatial static approach

A data mining study is specific to addressing a well-defined business task, and different business tasks require what? a. different sets of data. b. general industry data. c. general organizational data. d. general economic data.

different sets of data

What kind of spreadsheet model represents behavior over time? e. add-in f. dynamic g. looped h. static

dynamic

What does advanced analytics for social media do? a. It identifies the biggest sources of influence online. b. It examines the content of online conversations. c. It identifies links between groups. d. It helps identify your followers.

examines the content of online conversations

Does SaaS combines aspects of cloud computing with Big Data analytics and empower data scientists and analysts by allowing them to access centrally managed information data sets?

false

Which method calculates the values of the inputs necessary to achieve a desired level of an output? i. sensitivity j. LP k. what-if l. goal seek

goal seek

The most common method for solving a risk analysis problem is to select the alternative with what type of expected value? m. smallest expected value. n. median expected value. o. mean expected value. p. greatest expected value.

greatest expected value

Understanding which keywords your users enter to reach your Web site through a search engine can help you understand a. how well visitors understand your products. b. most of your Web site visitors' wants and needs. c. the hardware your Web site is running on. d. the type of Web browser being used by your Web site visitors.

how well visitors understand your products

Allowing Big Data to be processed in memory and distributed across a dedicated set of nodes can solve complex problems in near-real time with highly accurate insights. What is this process called? i. grid computing j. appliances k. in-database analytics l. in-memory analytics

in-memory analytics

How does Hadoop work? m. It integrates Big Data into a whole so large data elements can be processed as a whole on multiple computers. n. It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers. o. It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on one computer. p. It integrates Big Data into a whole so large data elements can be processed as a whole on one computer.

it breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers

What does the robustness of a data mining method refer to? a. its ability to construct a prediction model efficiently given a large amount of data b. its ability to overcome noisy data to make somewhat accurate predictions c. its speed of computation and computational costs in using the mode d. its ability to predict the outcome of a previously unknown data set accurately

its ability to overcome noisy data to make somewhat accurate predictions

Do spreadsheets include all possible tools needed to deploy a custom DSS?

no

What is breaking up a Web page into its components to identify worthy words/terms and indexing them using a set of rules called? a. document analysis. b. parsing the documents. c. creating the term-by-document matrix. d. preprocessing the documents.

parsing the documents

What types of documents are BEST suited to semantic labeling and aggregation to determine sentiment orientation? a. collections of documents b. small- to medium-sized documents c. medium- to large-sized documents d. large-sized documents

small-to medium-sized documents

What is driving Big Data?

the exponential growth, availability and use of information

In estimating the accuracy of data mining (or other) classification models, what is the true positive rate? a. the ratio of correctly classified positives divided by the sum of correctly classified positives and incorrectly classified negatives. b. the ratio of correctly classified negatives divided by the total negative count. c. the ratio of correctly classified positives divided by the total positive count. d. the ratio of correctly classified positives divided by the sum of correctly classified positives and incorrectly classified positives.

the ratio of correctly classified positives divided by the total positive count

What do voice of the market (VOM) applications of sentiment analysis do? a. They examine the stock market for trends. b. They examine the "market of ideas" in politics. c. They examine customer sentiment at the aggregate level. d. They examine employee sentiment in the organization.

they examine customer sentiment a the aggregate level

When is simulation normally used?

when a problem is too complex to be treated using numerical optimization techniques

Is the term "Big Data" relative as it depends on the size of the using organization.?

yes

What is a large storage location that can hold vast quantities of data (mostly unstructured) in its native/raw format for future/potential analytics consumption called? a. extended ASP. b. data lake. c. relational database. d. data cloud.

Data Lake

Which characteristic of data means that all the required data elements are included in the data set? a. data granularity b. data accessibility c. data source reliability d. data richness

Data Richness

Do dashboard provide visual displays of important information that is consolidated and arranged across several screens to maintain data order?

False

Do nominal data represent the labels of multiple classes used to divide a variable into specific groups?

False

In most cases, is Hadoop used to replace data warehouses?

False

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

False

Is successful BI a tool for the information systems department but is not exposed to the larger organization?

False

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

False

With the balanced scorecard approach, is the entire focus on measuring and managing specific financial goals based on the organization's strategy?

False

Of our two guest speakers, which spoke about data warehousing?

First

Which kind of data warehouse is created separately from the enterprise data warehouse by a department and not reliant on it for updates? a. sectional data mart b. volatile data mart c. public data mart d. independent data mart

Independent data mart

Are result variables considered independent variables?

No

Does a decision table show the relationships of the problem graphically and can it handle complex situations in a compact form?

No

Does descriptive analytics for social media feature such items as your followers as well as the content in online conversations that help you to identify themes and sentiments?

No

What is the management feature of a dashboard? a. summarized dimensional data to analyze the root cause of problems b. summarized dimensional data to monitor key performance metrics c. operational data that identify what actions to take to resolve a problem d. graphical, abstracted data to monitor key performance metrics

Operational data that identify what actions to take to resolve a problem

Which model allows companies to deploy their software and applications in the cloud so that their customers can use them? i. SaaS j. PaaS k. IaaS l. DaaS

PaaS

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

Predictive

Which source is likely to produce Big Data the fastest? e. order entry clerks f. RFID tags g. Cashiers h. online customers

RFID tags

Of our two guest speakers, which spoke about the use of Tableau in consulting?

Second

Because of performance and data quality issues, do most experts agree that the federated architecture should supplement data warehouses, not replace them?

True

Can using data mining on data about imports and exports help to detect tax avoidance and money laundering?

True

Does visualization differ from traditional charts and graphs in complexity of data sets and use of multiple dimensions and measures?

True

Have Google Maps has set new standards for data visualization with its intuitive Web mapping software

True

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

True

If using a mining analogy, would "knowledge mining" be a more appropriate term than "data mining?"

True

If you have many flexible programming languages running in parallel, is Hadoop preferable to a data warehouse?

True

Is modeling a key element for prescriptive analytics?

True

Is the Internet of Things (IoT) the phenomenon of connecting the physical world to the Internet?

True

Is the use of statistics in baseball by the Oakland Athletics, as described in the Moneyball case study, an example of the effectiveness of prescriptive analytics?

True

Predictive algorithms generally require a flat file with a target variable, so making data analytics ready for prediction means that data sets must be transformed into a flat-file format and made ready for ingestion into those predictive algorithms. True or False

True

Are social networking Web sites like Facebook, Twitter, and LinkedIn, also examples of cloud computing?

Yes

Did data as a service begin with the notion that data quality could happen in a centralized place, cleansing and enriching data and offering it to different systems, applications, or users, irrespective of where they were in the organization, computers, or on the network?

Yes

Do categorization and clustering of documents during text mining differ only in the preselection of categories?

Yes

Do data warehouse administrators (DWAs) need strong business insight since they only handle the technical aspect of the infrastructure?

Yes

Does clickstream analysis not need users to enter their perceptions of the Web site or other feedback directly to be useful in determining their preferences?

Yes

Does the current use of sentiment analysis in voice of the customer applications allow companies to change their products or services in real time in response to customer sentiment?

Yes

Does the pessimistic approach assume that the worst possible outcome for each alternative will occur and selects the best of these?

Yes

Has online commerce and communication created an immense need for forecasting and an abundance of available information for performing it?

Yes

Is one reason the IoT is growing exponentially because hardware is smaller and more affordable?

Yes

Was Hadoop designed to handle petabytes and exabytes of data distributed over multiple nodes in parallel?

Yes

With what must BI applications be integrated? Legacy Systems Databases Enterprise Systems All of the above

All of the above

What measure of central tendency is the sum of all the values/observations divided by the number of observations in the data set? a. Mode b. arithmetic mean c. dispersion d. median

Arithmetic mean

Which of the following is the order of simulation methodology? q. Construct the simulation model, Test and validate the model, Define the problem, Design the experiment, Conduct the experiment, Evaluate the results, Implement the results. r. Define the problem, Construct the simulation model, Test and validate the model, Design the experiment, Conduct the experiment, Implement the results, Evaluate the results. s. Define the problem, Construct the simulation model, Test and validate the model, Evaluate the results, Implement the results, Design the experiment, Conduct the experiment. t. Define the problem, Construct the simulation model, Test and validate the model, Design the experiment, Conduct the experiment, Evaluate the results, Implement the results.

Define the Problem, Construct the simulation model, test and validate the model, design the experiment, conduct the experiment, evaluate the results, implement the results

What makes an OLTP system efficient and inefficient? Transactions such as ATM withdrawals, where we need to reduce a bank balance accordingly End-user ad hoc reports, queries and analysis The collection of reputable sources of intelligence Transaction processing systems that constantly update operational databases

End-User ad hoc reports, queries and analysis

What is six sigma? a. a methodology aimed at measuring the amount of variability in a business process b. a methodology aimed at reducing the amount of variability in a business process c. a methodology aimed at reducing the number of defects in a business process d. a letter in the Greek alphabet that statisticians use to measure process variability

a methodology aimed at reducing the number of defects in a business process

In a Hadoop "stack," what is a slave node? q. a node where metadata is stored and used to organize data processing r. a node where data is stored and processed s. a node responsible for holding all the source programs t. a node where bits of programs are stored

a node where data is processed and stored

What is the impact of using data to understand customers/clients and business operations to sustain and foster growth and profitability? a. now completely automated with no human intervention required. b. an increasingly challenging task for today's enterprises. c. easier with the advent of BI and Big Data. d. essentially the same now as it has always been.

an increasingly challenging task for today's enterprises

What is the portion of the IoT technology infrastructure that focuses on controlling what and how information is captured? e. hardware. f. software backend. g. connectivity. h. applications.

applications