Exam 8: Decision Making and Business Intelligence

Data ________ refers to the degree of summarization or detail.

Cluster analysis measures the impact of a set of variables on another variable.

What is unsupervised data mining?

Online transaction processing (OLTP)systems are the backbone of all cross-functional systems in a company.

OLTP provides the ability to sum,count,average,and perform other simple arithmetic operations on groups of data.

Systems that focus on making data collected in OLTP useful for allowing multiple decision makers to collaborate are often referred to as

While data may be collected in OLTP,the fact that data may not be used to improve decision making refers to (the)

A nonprofit organization can process a donation without knowing the donor's gender or age,but a data mining application that looks at differences in donation behaviours based on gender would be impaired.This data problem is known as

Clickstream data is

It is almost certain that in reality,when you take on a data-mining project,the data will be

A data warehouse will usually consist of

________ provides the ability to sum,count,average,and perform other simple arithmetic operation on groups of data.

If you are collecting data electronically and processing the transaction online,then you are using (a)________.

________ is the application of statistical techniques to find patterns and relationships in data and to predict outcomes.

Market-basket analysis is a data-mining system,which computes correlations based on past orders to determine items that are frequently purchased together.

Thomas Davenport noted that a major grocery chain used less than ________ percent of its scanner data

________ integrate data from multiple sources,and process those data by sorting,grouping,summing,averaging,and comparing.

A reporting system is designed to provide the right information,to the right user,at the right time.

________ measure(s )the impact of a set of variables on another variable.

________ process data using sophisticated statistical techniques like regression analysis and decision tree analysis.