Chapter 10: Business intelligence and knowledge management

Which of the following data mining patterns determines whether certain facts fall into predefined groups?
1. Classification
2. Clustering
3. Forecasting
4. Sequence analysis
The ____ data mining pattern finds trends where one event leads to another, later event.
1. classification
2. clustering
3. forecasting
4. sequence analysis
Which of the following data mining patterns discovers patterns in data that can lead to reasonable predictions?
1. Classification
2. Clustering
3. Forecasting
4. Sequence analysis
____ is the combination of activities involved in gathering, organizing, sharing, analyzing, and disseminating knowledge to improve an organization's performance.
1. Neural networks
2. OLAP
3. Business intelligence
4. Knowledge management
____ are often designed to quickly present predefined business metrics such as occupancy ratios in hotels and hospitals, or inventory turns in retail.
1. Databases
2. Dashboards
3. Networks
4. Systems
____ identifies characteristics of transactions that are most likely to be fraudulent.
1. Customer churn
2. Fraud detection
3. Consumer clustering
4. Direct marketing
____ automates the classification of data into categories for future retrieval.
1. Autocategorization
2. Data mining
3. Artificial intelligence
4. OLAP
____ facilitate knowledge sharing through intranets.
1. Neural networks
2. Employee knowledge networks
3. Artificial intelligence
4. Dashboards
____ predicts what each individual accessing a Web site is most likely to be interested in seeing.
1. Interactive marketing
2. Market basket analysis
3. Trend analysis
4. Direct marketing
____ identifies the common characteristics of customers who tend to buy the same products and services from your company.
1. Customer churn
2. Fraud detection
3. Consumer clustering
4. Direct marketing
A(n) ____ uses Web technologies to link employees of the same organization.
1. database
2. employee knowledge network
3. intranet
4. dashboard
____ is the process of selecting, exploring, and modeling large amounts of data to discover previously unknown relationships that can support decision making.
1. Networking
2. Data mining
3. Neural networking
4. Analytical processing
____ reveals the difference between a typical customer this month and a typical customer last month.
1. Interactive marketing
2. Market basket analysis
3. Trend analysis
4. Direct marketing
____ identifies the reason why customers switch to competitors and predicts which customers are likely to do so.
1. Customer churn
2. Fraud detection
3. Consumer clustering
4. Direct marketing
____ include speedometer-like indicators for periodic revenues, profits, and other financial information; plus bar charts, line graphs, and other graphical presentations
1. Vendors
2. Neural networks
3. BI dashboards
4. Intranets
____ is the attempt by organizations to put procedures and technologies in place to transfer individual knowledge into databases.
1. Neural networks
2. OLAP
3. Business intelligence
4. Knowledge management
____ identifies which prospective clients should be included in a mailing or e-mail list to obtain the highest response rate.
1. Interactive marketing
2. Market basket analysis
3. Trend analysis
4. Direct marketing
____ applications let a user rotate virtual "cubes" of information, whereby each side of the cube provides another two dimensions of relevant information.
1. Neural network
2. OLAP
3. Database
4. BI
Dimensional databases are also called ____.
1. multidimensional databases
2. online analytical databases
3. data warehouses
4. neural networks
The process of finding the most relevant information for executive decision-making by moving from more general information to more specific details is known as____.
1. Drilling up
2. Data mining
3. Drilling down
4. Autocategorization

Chapter 10: Business intelligence and knowledge management

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