mis chp15

Moderate 8.b

Computer-driven investment models can be very effective when the market behaves as it has in the past. However, in terms of historical consistency, they are vulnerable to failure in the face of: a. brute force attacks. b. black swans. c. zero-day exploits. d. calendar rivalry metrics. e. distributed denial of service.

Easy 9.c

In database terminology, a record represents: a. a list of data, arranged in columns and rows. b. all of the data in a given column. c. a single instance of whatever the table keeps track of. d. a field or combination of fields used to uniquely identify a file. e. one or more keys that relate separate tables in a database.

Easy 1.a

Inventory turnover ratio is: a. the ratio of a company's annual sales to its inventory. b. the ratio of a company's variable cost to its inventory. c. the ratio of a company's fixed cost to its inventory. d. the ratio of a company's annual cost to its inventory. e. the ratio of a company's fixed assets to its inventory.

Easy 2.b Moderate

What is Wal-Mart's motivation for sharing data with its supply partners? a. Creating switching costs for suppliers b. Lowering prices of products c. Achieving maturity in the American market d. Countering the accusations of union activists e. Deflecting criticism for ruining local mom-and-pop stores

Moderate 7.c

Which of the following conditions is essential for data mining to work? a. The data must be collected from proprietary sources and not from data aggregators. b. The organization must leverage standard relational databases as opposed to inferior hierarchical and analytical databases. c. The events in the data should reflect current and future trends. d. The data mining software must necessarily incorporate ad hoc reporting tools and dashboards. e. The data should have passed the Diehard suite of stringent tests for randomness.

Easy 4.b

Which of the following is not considered an advantage of Hadoop? a. flexibility. b. relational structure. c. scalability. d. cost effectiveness. e. fault tolerance.

Moderate 1.d

Why do firms need to create separate data repositories for their reporting and analytics work? a. Most firms store their data assets offsite to insure themselves against the possibility of data damage through natural disasters. b. Maintaining huge databases can be a cost-sink for most firms. c. Most organizations need to differentiate data derived in-house and from data aggregators. d. Running analytics against transactional data can bog down a TPS. e. Reporting and analytics are two separate functions, each requiring its own separate database specifically formatted to the needs of the management team.

Easy 1.e

A _____ is a system that provides rewards and usage incentives, typically in exchange for a method that provides a more detailed tracking and recording of consumer activity. a. sugging report b. canned report c. dashboard d. legacy system e. loyalty program

Easy 4.c

A data cube refers to a: a. secure, cloud-based off-site location used for data storage, analysis, and reporting. b. heads-up display of critical indicators that allow managers to get a graphical glance at key performance metrics. c. special database used to store data in OLAP reporting. d. firm that collects data with the intention of reselling it to others. e. combination of fields used to uniquely identify a record, and to relate separate tables in a database.

Moderate 9.d

A(n) _____ is an AI system that examines data and hunts down and exposes patterns, in order to build models to exploit findings. a. Hadoop b. canned report c. data aggregator d. neural network e. e-discovery

Easy 2.e

A(n) _____ refers to a heads-up display of critical indicators that allow managers to get a graphical glance at key performance metrics. a. interstitial b. embassy c. canned report d. prediction interface e. dashboard

Moderate 3.b

Data becomes _____ when it is presented in a context so that it can answer a question or support decision making. a. knowledge b. information c. a database d. wisdom e. a relational language

Easy 2.c

Data can potentially be used as a strategic asset, capable of yielding sustainable competitive advantage. Which of the items below is not a characteristic of a potentially strategic asset? a. value b. rarity c. imperfect imitability d. lead time e. non-substitutability

Easy 6.a

Data mining is leveraged by some firms to determine which products customers buy together, and how an organization can use this information to cross-sell more products or services. This area of application of data mining is referred to as: a. market basket analysis. b. expert systems. c. customer churn. d. customer segmentation. e. vertical integration.

Easy 3.a

E-discovery refers to: a. identifying and retrieving relevant electronic information to support litigation efforts. b. something a firm does not account for in its archiving and data storage plans. c. older information systems that are often incompatible with other systems, technologies, and ways of conducting business. d. collecting and reselling data. e. rewards and usage incentive, typically in exchange for a method that provides a more detailed tracking and recording of consumer activity.

Easy 4.e

Firms that collect and resell data are known as: a. data barons. b. data mongers. c. knowledge consultancies. d. data miners. e. data aggregators.

Easy 2.e

If a customer pays a retailer in cash, he is likely to remain a mystery to the retailer because his name is not attached to the money. Retailers can tie the customer to cash transactions and track the customer's activity if they can convince the customer to use a _____. a. transaction processing system b. point-of-sale terminal c. data cube d. dashboard e. loyalty card

Easy 8.e

In database systems, a _____ defines the data that a table can hold. a. row b. key c. record d. file e. field

Easy 6.a

In database systems, a _____ refers to a list of data. a. file b. column c. field d. row e. record

Moderate 10.d

In database systems, a row is also known as a _____. a. table b. column c. key d. record e. field

Easy 7.c

In database systems, a table is also known as a _____. a. field b. record c. file d. row e. key

Easy 2.c

Knowledge is defined as: a. raw facts and figures. b. the data presented in a context so that it can answer a question or support decision making. c. the insight derived from experience and expertise. d. a listing of primary data. e. the process of breaking a complex topic into smaller parts.

Easy 2.b

Most transactional databases are not set up to be simultaneously accessed for reporting and analysis. As a consequence: a. navigational databases are being preferred over transactional databases. b. data is not efficiently transformed into information. c. firms prefer to outsource data mining operations to third-party firms. d. analysts must also become transactional specialists. e. most firms incur additional expenditure to effectively record transactions.

Easy 10.e

_____ are model building techniques where computers examine many potential solutions to a problem, iteratively modifying various mathematical models, and comparing the mutated models to search for a best alternative. a. Expert systems b. Ad hoc reporting tools c. Iterative mutations d. Sampled alliterations e. Genetic algorithms

Moderate 3.b

_____ is a class of computer software that seeks to reproduce or mimic human thought, decision making, or brain functions. a. Biometrics b. Artificial intelligence c. Android d. Legacy software e. Intranet

Easy 3.d

_____ is a method of querying and reporting that takes data from standard relational databases, calculates and summarizes the data, and then stores the data in a special database called a data cube. a. Ad hoc reporting b. E-discovery c. Data aggregation d. Online analytical processing e. Data adjacency

Easy 5.e

_____ is by far the most popular language for creating and manipulating databases. a. XML b. HTML c. PHP d. Java e. SQL

Moderate 5.e

_____ is the process of using computers to identify hidden patterns in and to build models from large data sets. a. Data harvesting b. E-discovery c. Optimization d. Report canning e. Data mining

Easy 1.d

_____ is the term used to describe raw facts and figures. a. information b. knowledge c. analytics d. data e. intelligence

Easy 1.b

_____ put(s) users in control so that they can create custom reports on an as-needed basis by selecting fields, ranges, summary conditions, and other parameters. a. Canned reports b. Ad hoc reporting tools c. Dashboards d. Data cubes e. Online analytical processing

Moderate 2.a

_____ refer to databases focused on addressing the concerns of a specific problem or business unit. a. Data marts b. Dashboards c. Hadoop d. Data aggregators e. Data analytics

Easy 1.c

_____ refer to older information systems that are often incompatible with other systems, technologies, and ways of conducting business. a. Data aggregator systems b. Loyalty card systems c. Legacy systems d. Transaction systems e. Mnemonic systems

Easy 4.d

_____ refers to software for creating, maintaining, and manipulating data. a. Extranet b. ROM c. RAM d. DBMS e. Internet 2

1.c

_____ refers to the process of combining aspects of reporting, data exploration and ad hoc queries, and sophisticated data modeling and analysis. a. Logistics b. Queritic modeling c. Business intelligence d. Electronic trading e. Big Data