BDAN 420 Final

Data warehouse administrators (DWAs) do not need strong business insight since they only handle the technical aspect of the infrastructure.

False

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

False

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

False

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.

False

Hadoop and MapReduce require each other to work.

False

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

False

In the Dallas Cowboys case study, the focus was on using data analytics to decide which players would play every week.

False

In the Dell cases study, the largest issue was how to properly spend the online marketing budget.

False

In the Great Clips case study, the company uses geospatial data to analyze, among other things, the types of haircuts most popular in different geographic locations.

False

In the car insurance case study, text mining was used to identify auto features that caused injuries.

False

In the opening case, police detectives used data mining to identify possible new areas of inquiry.

False

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

K-fold cross-validation is also called sliding estimation.

False

Managing information on operations, customers, internal procedures and employee interactions is the domain of cognitive science.

False

Market basket analysis is a useful and entertaining way to explain data mining to a technologically less savvy audience, but it has little business significance.

False

Moving the data into a data warehouse is usually the easiest part of its creation.

False

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

False

Search engine optimization (SEO) techniques play a minor role in a Web site's search ranking because only well-written content matters.

False

Search engines are only used in the context of the World Wide Web (WWW).

False

Server virtualization is the pooling of physical storage from multiple network storage devices into a single storage device.

False

Simulations are an experimental, expensive, error-prone method for gaining insight into complex decision-making situations.

False

Spreadsheets are clearly the most popular developer modeling tool.

False

Spreadsheets include all possible tools needed to deploy a custom DSS.

False

The data storage component of a business reporting system builds the various reports and hosts them for, or disseminates them to users. It also provides notification, annotation, collaboration, and other services.

False

The entire focus of the predictive analytics system in the Infinity P&C case was on detecting and handling fraudulent claims for the company's benefit.

False

The growth in hardware, software, and network capacities has had little impact on modern BI innovations.

False

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

False

To respond to its market challenges, SiriusXM decided to focus on manufacturing efficiency.

False

Two-tier data warehouse/BI infrastructures offer organizations more flexibility but cost more than three-tier ones.

False

User-initiated navigation of data through disaggregation is referred to as "drill up."

False

Web-based e-mail such as Google's Gmail are not examples of cloud computing.

False

Web-based media has nearly identical cost and scale structures as traditional media.

False

When telling a story during a presentation, it is best to avoid describing hurdles that your character must overcome, to avoid souring the mood.

False

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

False

A decision made under risk is also known as a probabilistic or stochastic decision-making situation.

True

Articles and auxiliary verbs are assigned little value in text mining and are usually filtered out.

True

Big Data is being driven by the exponential growth, availability, and use of information.

True

Computer applications have moved from transaction processing and monitoring activities to problem analysis and solution applications.

True

Data as a service began 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.

True

Decision situations that involve a finite and usually not too large number of alternatives are modeled through an approach called decision analysis.

True

Descriptive statistics is all about describing the sample data on hand.

True

Despite their potential, many current NoSQL tools lack mature management and monitoring tools.

True

During classification in data mining, a false positive is an occurrence classified as true by the algorithm while being false in reality.

True

Every LP model has some internal intermediate variables that are not explicitly stated.

True

For low latency, interactive reports, a data warehouse is preferable to Hadoop.

True

From massive amounts of high-dimensional location data, algorithms that reduce the dimensionality of the data can be used to uncover trends, meaning, and relationships to eventually produce human-understandable representations.

True

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

True

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

True

In Application Case 7.6, Analyzing Disease Patterns from an Electronic Medical Records Data Warehouse, it was found that urban individuals have a higher number of diagnosed disease conditions.

True

In sentiment analysis, it is hard to classify some subjects such as news as good or bad, but easier to classify others, e.g., movie reviews, in the same way.

True

In the 2000s, the DW-driven DSSs began to be called BI systems.

True

In the Quiznos case, the company employed location-based behavioral targeting to narrow the characteristics of users who were most likely to eat at a quick-service restaurant.

True

In the School District of Philadelphia case, Excel and an add-in was used to evaluate different vendor options.

True

In the Wimbledon case study, designers balanced the needs of mobile and desktop computer users.

True

In the opening vignette, the Access Telecom (AT), built a system to better visualize customers who were unhappy before they canceled their service.

True

It is important for Big Data and self-service business intelligence to go hand in hand to get maximum value from analytics.

True

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

MapReduce can be easily understood by skilled programmers due to its procedural nature.

True

One of SiriusXM's challenges was tracking potential customers when cars were sold.

True

One reason the IoT is growing exponentially is because hardware is smaller and more affordable.

True

Online commerce and communication has created an immense need for forecasting and an abundance of available information for performing it.

True

RFID can be used in supply chains to manage product quality.

True

Regional accents present challenges for natural language processing.

True

Service-oriented DSS solutions generally offer individual or bundled services to the user as a service.

True

Social networking Web sites like Facebook, Twitter, and LinkedIn, are also examples of cloud computing.

True

Structured data is what data mining algorithms use and can be classified as categorical or numeric.

True

The data warehousing maturity model consists of six stages: prenatal, infant, child, teenager, adult, and sage.

True

The quality and objectivity of information disseminated by influential users of Twitter is higher than that disseminated by noninfluential users.

True

The term "Big Data" is relative as it depends on the size of the using organization.

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

Using data mining on data about imports and exports can help to detect tax avoidance and money laundering.

True

When a problem has many attributes that impact the classification of different patterns, decision trees may be a useful approach.

True

Without middleware, different BI programs cannot easily connect to the data warehouse.

True

Dashboards provide visual displays of important information that is consolidated and arranged across several screens to maintain data order.

False

Data generation is a precursor, and is not included in the analytics ecosystem.

False

Data is the contextualization of information, that is, information set in context.

False

A model builder makes predictions and assumptions regarding input data, many of which deal with the assessment of certain futures.

False

Big Data simplifies data governance issues, especially for global firms.

False

Bill Inmon advocates the data mart bus architecture whereas Ralph Kimball promotes the hub-and-spoke architecture, a data mart bus architecture with conformed dimensions.

False

Business analysis is the monitoring, scanning, and interpretation of collected environmental information.

False

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

False

Consistent high quality, higher publishing frequency, and longer time lag are all attributes of industrial publishing when compared to Web publishing.

False