Textbook Notes (280,000)
US (110,000)
BU (400)
MIS (20)
Chapter 30

MIS 3305 Chapter Notes - Chapter 30: Railways Act 1921, Affinity Analysis, Data Mining


Department
Management Information Systems
Course Code
MIS 3305
Professor
Esserman
Chapter
30

This preview shows half of the first page. to view the full 2 pages of the document.
Chapter 30
Time-series information is time stamped information collected at a particular
frequency.
Data latency is the time duration to make data ready for analysis (i.e., the
time for extracting, transforming, and cleansing the data) and loading the
data into the database.
Operational BI: Business focus is to manage daily operations and integrate BI
with operational systems; primary users include managers, analysts, and
operational users.
Strategic BI: business focus is to achieve long-term organizational goals; time
frame for analysis is months to years.
Tactical BI: business focus is to conduct short-term analysis to achieve
strategic goals; time frame for analysis is days to weeks to months.
Three common forms of data-mining analysis capabilities include cluster
analysis, statistical analysis, and association detection.
Strategic BI: helps with planning and results in marketing campaign.
Tactical BI: helps with daily analysis and results in refined campaign.
Operational BI: helps with immediate actions and results in sales revenue.
Data-mining tools use a variety of techniques to find pattern and
relationships in large volumes of information that predict future behavior
and guide decision-making.
Statistical analysis performs such functions as information correlations,
distributions, calculations, and variance analysis.
Forecasts are predictions based on time-series information.
Market basket analysis analyzes such items as websites and checkout
scanner information to detect customers’ buying behavior and predict future
behavior by identifying affinities among customers’ choices of products and
services.
Data mining is the process of analyzing data to extract information not
offered by the raw data alone.
Classification: assigns records to one of a predefined set of classes.
Estimation: determines values for an unknown continuous variable behavior
or estimated future value.
Affinity Grouping: determines which things go together.
Clustering: segments a heterogeneous population of records into a number of
more homogeneous subgroups
Analysis latency is the time from which data are made available to the time
when analysis is complete.
Association detection reveals the relationship between variables along with
the nature and frequency of the relationships.
Cluster analysis is a technique used to divide information sets into mutually
exclusive groups such that the members of each group are as close together
as possible to one another and the different groups are as far apart as
possible.
find more resources at oneclass.com
find more resources at oneclass.com
You're Reading a Preview

Unlock to view full version