MIS chapter 9
A sales team should attempt to up-sell more expensive products to a customer who has an RFM score of ________.
C) 113
The remarkable characteristic of OLAP reports is that they are ________, as they are online and the viewer of the report can change their format.
Dynamic
____ is a term used to refer to the level of detail represented by the data
Granularity
____ describes a dimension in an OLAP report
It is a characteristic of a measure.
The following is true of source data for a BI system
It refers to data that the organization purchases from data vendors.
An ________ and an OLAP report are the same thing.
OLAP cube
This is true about operational data.
Purchased operational data often contains missing elements.
_______ analysis is a way of analyzing and ranking customers according to their purchasing patterns.
RFM
________ is a standard for subscribing to content sources
RSS (Real Simple Syndication)
With a(n) ________ , users can subscribe to content sources and be notified when they have been changed
RSS reader
Push publishing delivers business intelligence _____.
according to a schedule or as a result of an event or particular data condition
Data ____ is the process of obtaining, cleaning, organizing, relating, and cataloging source data
acquisition
_____ is a measure in an OLAP report
average cost
___ is defined as information containing patterns, relationships, and trends
business intelligence
____ is a basic operation used by reporting tools to produce information from data
calculating
With ________, statistical techniques can identify groups of entities that have similar characteristics.
cluster analysis
In marketing transactions, the fact that customers who buy product X also buy product Y creates a(n) ________ opportunity. That is, "If they're buying X, sell them Y," or "If they're buying Y, sell them X."
cross selling opportunity
Due to a phenomenon called the ________, the more attributes there are, the easier it is to build a model that fits the sample data but that is worthless as a predictor.
curse of dimensionality
A fundamental category of BI analysis
data mining
__ is the application of statistical techniques to find patterns and relationships among data for classification and prediction
data mining
A ________ takes data from the data manufacturers, cleans and processes the data, and then stores it.
data warehouse
Because of the various problems with operational data, large organizations choose to extract operational data into a(n) ________
data warehouse
________ is a hierarchical arrangement of criteria that predict a classification or a value
decision tree
Problematic operational data are termed
dirty data
A sales report that is current, as of the time the user accessed it on a Web server, is an example of a(n) ________.
dynamic report
___ is a major category of knowledge assets
employees
________ attempt to capture human expertise and put it into a format that can be used by non experts
expert systems
The world's best-known indexing engine is operated by ________.
________ is the single most important content function in knowledge management applications.
indexing
____ is used as a synonym for data mining
knowledge discovery in databases
________ is the process of creating value from intellectual capital and sharing that knowledge with employees, managers, suppliers, customers, and others who need it
knowledge management
In market-basket terminology, the ratio of confidence to the base probability of buying an item is called the ________.
lift
___ is used to show the products that customers tend to buy together
market-basket analysis
A data ________ is a data collection, smaller than the data warehouse that addresses a particular component or functional area of the business
mart
BI servers use ________ to determine what results to send to which users and on which schedule
metadata
____ records the source, format, assumptions and constraints, and other facts about the data
metadata
The viewer of an OLAP report can change its format. ___ implies this capability.
online
OLAP stands for ________
online analytical processing
___ requires the user to request BI results
pull publishing
RFM analysis is used to analyze and rank customers according to their ________
purchasing patterns
______ is an example of a supervised data-mining technique
regression analysis
With ________, data miners develop a model prior to the analysis and apply statistical techniques to data to estimate parameters of the model.
supervised data mining
In market-basket terminology, ________ is the term that describes the probability that two items will be purchased together.
support
