BCOR 2205 Final Exam Test Questions and Answers Rated A
what are the 4 V's of data? Velocity, veracity, volume, variety
the analysis of streaming data as it travels around the
Velocity
internet
the uncertainty of data, including biases, noise, and ab-
veracity
normalities; the untrustworthiness of data
volume the scale of data
variety ditterent forms of structured and unstructured data
a collection of large, complex data sets, including struc-
big data ture & unstructured data, which cannot be analyzed using
traditional database methods and tools
raw facts that describe the characteristics of an event or
data
object (order date, amount sold, customer #)
data converted into a meaningful and useful context (best
information
selling product, best customer, worst selling product, etc.)
information collected from multiple sources that analyzes
patterns, trends, and relationships for strategic decision
Business Intelligence
making (best selling product by month compared to
sports seasons and city team wins & losses)
the skills, experience, and expertise coupled with infor-
mation and intelligence that create a person's intellectual
knowledge resources (choosing not to fire a sales rep who is under-
performing, knowing that person is experiencing family
problems)
a statistical process for estimating the relationships
regression model among variables (predicting the winners of a marathon
based on gender, hight, weight, hours of training)
optimization model
, BCOR 2205 Final Exam Test Questions and Answers Rated A
a statistical process that finds the way to make a design,
system, or decision as ettective as possible (choose a
combination of projects to maximize overall earnings)
predictions based on time-series information, allowing
forecasting model users to manipulate the time series for forecasting activi-
ties
classification analysis assigns records to one of a predefined set of classes
determines values for an unknown continuous variable
estimation analysis
behavior or estimated future value
aflnity grouping analysis determines which things go together
segments a heterogenous population of records into a
clustering analysis
number of more homogenous subgroups
the process on analyzing data to extract information not
data mining
ottered by the raw data alone
the process of collecting statistics and information about
data profiling
data in an existing source
descriptive analytics use techniques that describe past performance history
use techniques that extract information from data to pre-
predictive analytics
dict future trends and identify behavioral patterns
use techniques to create models indicating the best deci-
prescriptive analytics
sion to make or course of action to take
stored in a traditional system such as a relational database
structured data
or spreadsheet
unstructured data not defined and does not follow a specific format
a world where interconnected internet-enabled devices or
internet of things (IoT) things have the ability to collect and share data without
human intervention
what are the 4 V's of data? Velocity, veracity, volume, variety
the analysis of streaming data as it travels around the
Velocity
internet
the uncertainty of data, including biases, noise, and ab-
veracity
normalities; the untrustworthiness of data
volume the scale of data
variety ditterent forms of structured and unstructured data
a collection of large, complex data sets, including struc-
big data ture & unstructured data, which cannot be analyzed using
traditional database methods and tools
raw facts that describe the characteristics of an event or
data
object (order date, amount sold, customer #)
data converted into a meaningful and useful context (best
information
selling product, best customer, worst selling product, etc.)
information collected from multiple sources that analyzes
patterns, trends, and relationships for strategic decision
Business Intelligence
making (best selling product by month compared to
sports seasons and city team wins & losses)
the skills, experience, and expertise coupled with infor-
mation and intelligence that create a person's intellectual
knowledge resources (choosing not to fire a sales rep who is under-
performing, knowing that person is experiencing family
problems)
a statistical process for estimating the relationships
regression model among variables (predicting the winners of a marathon
based on gender, hight, weight, hours of training)
optimization model
, BCOR 2205 Final Exam Test Questions and Answers Rated A
a statistical process that finds the way to make a design,
system, or decision as ettective as possible (choose a
combination of projects to maximize overall earnings)
predictions based on time-series information, allowing
forecasting model users to manipulate the time series for forecasting activi-
ties
classification analysis assigns records to one of a predefined set of classes
determines values for an unknown continuous variable
estimation analysis
behavior or estimated future value
aflnity grouping analysis determines which things go together
segments a heterogenous population of records into a
clustering analysis
number of more homogenous subgroups
the process on analyzing data to extract information not
data mining
ottered by the raw data alone
the process of collecting statistics and information about
data profiling
data in an existing source
descriptive analytics use techniques that describe past performance history
use techniques that extract information from data to pre-
predictive analytics
dict future trends and identify behavioral patterns
use techniques to create models indicating the best deci-
prescriptive analytics
sion to make or course of action to take
stored in a traditional system such as a relational database
structured data
or spreadsheet
unstructured data not defined and does not follow a specific format
a world where interconnected internet-enabled devices or
internet of things (IoT) things have the ability to collect and share data without
human intervention
