BADM 211 Exam 1
Save
Terms in this set (50)
The term "business the practice and art of bringing quantitative data to
analytics" may be best bear on decision-making
defined
refers to data visualization and reporting for
understanding "what happened and what is
The term "business
happening"
intelligence" may be best
-done by the use of charts, tables, and dashboards
defined as
to display, examine, and explore data
-next level of business analytics
, creates value; adds value
statistical and machine-learning methods that inform
data mining adds
decision-making
____________ to data
-ability to cope with huge amounts of data and
visualization and
extract value
exploratory analyses.
-possible other answers could be modeling or
prediction
learn directly from data, especially local patterns,
Machine learning refers
often in layered or iterative fashion
to algorithms that learn
-ex: decision tree
, -Volume, amount of data
-Velocity, flow rate; speed at which it is being
generated and changed
-Variety, different types of data being generated (ex:
Which of the following is
currency, dates, numbers, text etc)
not a characterization of
-Veracity, fact that data is being generated by
Big Data?
organic distributed processes (ex: millions of people
signing up for services or free downloads) and not
subject to the controls or quality checks that apply
to data collected for a study
Which of the following is Skills are: statistics, machine learning, math,
not in the list of skills for a programming, business, and IT
data scientist?
A categorical variable variable that takes on one of several fixed values
may be best defined as -ex: flight could be on-time, delayed, or canceled
Save
Terms in this set (50)
The term "business the practice and art of bringing quantitative data to
analytics" may be best bear on decision-making
defined
refers to data visualization and reporting for
understanding "what happened and what is
The term "business
happening"
intelligence" may be best
-done by the use of charts, tables, and dashboards
defined as
to display, examine, and explore data
-next level of business analytics
, creates value; adds value
statistical and machine-learning methods that inform
data mining adds
decision-making
____________ to data
-ability to cope with huge amounts of data and
visualization and
extract value
exploratory analyses.
-possible other answers could be modeling or
prediction
learn directly from data, especially local patterns,
Machine learning refers
often in layered or iterative fashion
to algorithms that learn
-ex: decision tree
, -Volume, amount of data
-Velocity, flow rate; speed at which it is being
generated and changed
-Variety, different types of data being generated (ex:
Which of the following is
currency, dates, numbers, text etc)
not a characterization of
-Veracity, fact that data is being generated by
Big Data?
organic distributed processes (ex: millions of people
signing up for services or free downloads) and not
subject to the controls or quality checks that apply
to data collected for a study
Which of the following is Skills are: statistics, machine learning, math,
not in the list of skills for a programming, business, and IT
data scientist?
A categorical variable variable that takes on one of several fixed values
may be best defined as -ex: flight could be on-time, delayed, or canceled