Q1. Which of the following is not a reason that operational data are difficult to read?
Non-duplicated data
Non-integrated data
Missing values
Dirty data
Q2. In OLAP, we are interested in ________
measures only
levels only
dimensions only
measures and dimensions
Q3. This is an approach to selling goods and services in which a prospect explicitly agrees in advance to receive marketing information
permission marketing
customer managed relationship
one-to-one marketing
data mining
batch processing
Q4. This is an XML-based metalanguage developed by the Business Process Management Initiative (BPMI) as a means of modeling business processes, much as XML is, itself, a metalanguage with the ability to model enterprise data
ebXML
BPML
e-biz
BizTalk
Q5. One popular classification technique in Business Intelligence (BI) reporting is ________
regression analysis only
both cluster analysis and regression analysis
RFM analysis only
cluster analysis only
Q6. We have done an RFM analysis on our customer data. Mary Jones has a score of "1 1 5". This series means that Mary ________
Hasn't ordered recently, orders infrequently, but places a large order when she orders
Has ordered recently, orders frequently, and places a large order when she orders
Has ordered recently, orders frequently, but doesn't place a large order when she orders
Hasn't ordered recently, orders infrequently, and doesn't place a large order when she orders
Q7. This is a systematic approach to the gathering, consolidation, and processing of consumer data (both for customers and potential customers) that is maintained in a company's databases
database marketing
application integration
service oriented integration
marketing encyclopedia
Q8. We have Market Basket data for 1,000 rental transactions at a Video Store. There are four videos for rent -- Video A, Video B, Video C and Video D. The probability that Video D will be rented given that Video C has been rented is known as ________
support
the basic probability
confidence
lift
Q9. In an Internet context, this is the practice of tailoring Web pages to individual users' characteristics or preferences
Web services
personalization
client/server
customer-facing
customer valuation
Q10. This is the processing of data about customers and their relationship with the enterprise in order to improve the enterprise's future sales and service and lower cost
CRM analytics
customer relationship management
clickstream analysis
database marketing
Q11. This is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions
business information warehouse
business intelligence
data mart
best practice
Q12. In data mining, this is a technique used to predict future behavior and anticipate the consequences of change
predictive modeling
predictive technology
disaster recovery
Digital Silhouettes
phase change
Q13. This is an arrangement in which a company outsources some or all of its customer relationship management functions to an application service provider (ASP).
hosted CRM
spend management
Customer Information Control System
supplier relationship management
Q14. This is the practice of dividing a customer base into groups of individuals that are similar in specific ways relevant to marketing, such as age, gender, interests, spending habits, and so on
customer managed relationship
customer segmentation
customer service chat
customer life cycle
Q15. This is a central point in an enterprise from which all customer contacts are managed
call center
help system
contact center
multichannel marketing