WGU C954 FINAL EXAM ASSESSMENT TEST CURRENTLY TESTING
WITH COMPLETE SOLUTIONS
data replication
the process of sharing info to ensure consistency between multiple data sources
recommended engine
data-mining algorithm that analyzes customer purchases and actions on a website and
then uses the data to recommend complementary products
estimation analysis
determine values for an unknown continuous variable behavior or estimated future value
market basket analysis
Evaluates 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.
affinity grouping analysis
reveals the relationship between variables along with the nature and frequency of the
relationships
,cluster analysis
technique used to divide an information set into exclusive groups such that the numbers of
each group are as close together as possible to one another and the different groups are as
far apart as possible
classification analysis
process of organizing data into categories or groups for its most effective and efficient use
data mining tools
variety of techniques to find patterns and relationships in large volumes of info that predict
future behavior
cube
common term for the rep of multidimensional info
algorithm
mathematical formula placed in software that performs an analysis on a data set
outlier
data value that is numerically distant from most of the other data points in a set of data
,fast data
application of big data analytics to smaller data sets in near-real-time, real-time time in
order to solve a problem or creative business value
data artist
business analytics specialist who uses visual tools to help people understand complex
data
data visualization tools
moves beyond excel graphs na d charts into sophisticated analysis techniques such as
controls, instruments, maps, time series graphs, etc.
data visualization
allows users to see data transform info into a business perspective
business intelligence dashboard
tracks corp metrics allowing users to manipulate data for analysis
optimization model
statistical process that finds the way to make a design, system, or decision as effective as
possible
, forecasting model
Predictions based on time-series information allowing users to manipulate the time series
for forecasting activities.
regression model
focus on he relationship[ between a dependent variable and one or more independent
variables
time-series information
time stamped information collected at a particular frequency
analysis latency
the time from which data are made available to the time when analysis is complete
decision latency
the time it takes a human to comprehend the analytic result and determine an appropriate
action
agile BI (business intelligence)
WITH COMPLETE SOLUTIONS
data replication
the process of sharing info to ensure consistency between multiple data sources
recommended engine
data-mining algorithm that analyzes customer purchases and actions on a website and
then uses the data to recommend complementary products
estimation analysis
determine values for an unknown continuous variable behavior or estimated future value
market basket analysis
Evaluates 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.
affinity grouping analysis
reveals the relationship between variables along with the nature and frequency of the
relationships
,cluster analysis
technique used to divide an information set into exclusive groups such that the numbers of
each group are as close together as possible to one another and the different groups are as
far apart as possible
classification analysis
process of organizing data into categories or groups for its most effective and efficient use
data mining tools
variety of techniques to find patterns and relationships in large volumes of info that predict
future behavior
cube
common term for the rep of multidimensional info
algorithm
mathematical formula placed in software that performs an analysis on a data set
outlier
data value that is numerically distant from most of the other data points in a set of data
,fast data
application of big data analytics to smaller data sets in near-real-time, real-time time in
order to solve a problem or creative business value
data artist
business analytics specialist who uses visual tools to help people understand complex
data
data visualization tools
moves beyond excel graphs na d charts into sophisticated analysis techniques such as
controls, instruments, maps, time series graphs, etc.
data visualization
allows users to see data transform info into a business perspective
business intelligence dashboard
tracks corp metrics allowing users to manipulate data for analysis
optimization model
statistical process that finds the way to make a design, system, or decision as effective as
possible
, forecasting model
Predictions based on time-series information allowing users to manipulate the time series
for forecasting activities.
regression model
focus on he relationship[ between a dependent variable and one or more independent
variables
time-series information
time stamped information collected at a particular frequency
analysis latency
the time from which data are made available to the time when analysis is complete
decision latency
the time it takes a human to comprehend the analytic result and determine an appropriate
action
agile BI (business intelligence)
