BUS 102 Midterm Questions And Answers Graded A+
Study online at https://quizlet.com/_h66s48
1. what is business business analytics is data analytics applied to business to generate insights using
analytics and how computers and models to hunt for patterns and insights
is it related to data data analyzes raw data to interpret new information
analytics and data data science involves the collection of raw data
science
2. how does busi- helps organizations make quicker, better decisions
ness analytics im- provides competitive advantage
prove decision
making
3. why is a busi- actionable insights improve efficiency, increase profits, and gain competitive
ness insight the advantage
key outcome of eliminate bias and reduce complexity/mistakes
business analytics
4. four types of data descriptive "what happened"
analytics and the diagnostic "why did it happen"
questions associ- predictive "what might happen"
ated prescriptive "what should we do"
5. what is big data data sets that are too large to be dealt with using traditional data-processing
software
large number of observations (rows) and/or variables (columns)
6. what has made sources of digital data are growing exponentially
big data possible we are in the information revolution
digital storage is getting smaller and cheaper
sensors
7. scale of big data bit- a 0 or 1
byte- 8 bits
kilobyte- 1024 bytes
1/6
, BUS 102 Midterm Questions And Answers Graded A+
Study online at https://quizlet.com/_h66s48
megabyte- >1 million bytes
gigabyte- >1 billion bytes
terabyte- >1 trillion bytes
petabyte- >1,000 terabytes
exabyte- >1,000 petabytes
big data operates on a scale larger than a gigabyte
8. 5 V's of big data velocity
veracity
value
variety
volume
9. why is big data so corporations can generate insights about customers and competitors and use it
valuable to gain competitive advantage
10. which type of an- business analytics simplifies data and amplifies value
alytics leads to an
actionable insight
11. how does social sell user information to advertisers
media monetize
consumer data
12. 5 principles of ownership
data ethics transparency
privacy
intent
outcome
13. what is the data collect, clean, organize, analyze, communicate
analytics process
2/6
Study online at https://quizlet.com/_h66s48
1. what is business business analytics is data analytics applied to business to generate insights using
analytics and how computers and models to hunt for patterns and insights
is it related to data data analyzes raw data to interpret new information
analytics and data data science involves the collection of raw data
science
2. how does busi- helps organizations make quicker, better decisions
ness analytics im- provides competitive advantage
prove decision
making
3. why is a busi- actionable insights improve efficiency, increase profits, and gain competitive
ness insight the advantage
key outcome of eliminate bias and reduce complexity/mistakes
business analytics
4. four types of data descriptive "what happened"
analytics and the diagnostic "why did it happen"
questions associ- predictive "what might happen"
ated prescriptive "what should we do"
5. what is big data data sets that are too large to be dealt with using traditional data-processing
software
large number of observations (rows) and/or variables (columns)
6. what has made sources of digital data are growing exponentially
big data possible we are in the information revolution
digital storage is getting smaller and cheaper
sensors
7. scale of big data bit- a 0 or 1
byte- 8 bits
kilobyte- 1024 bytes
1/6
, BUS 102 Midterm Questions And Answers Graded A+
Study online at https://quizlet.com/_h66s48
megabyte- >1 million bytes
gigabyte- >1 billion bytes
terabyte- >1 trillion bytes
petabyte- >1,000 terabytes
exabyte- >1,000 petabytes
big data operates on a scale larger than a gigabyte
8. 5 V's of big data velocity
veracity
value
variety
volume
9. why is big data so corporations can generate insights about customers and competitors and use it
valuable to gain competitive advantage
10. which type of an- business analytics simplifies data and amplifies value
alytics leads to an
actionable insight
11. how does social sell user information to advertisers
media monetize
consumer data
12. 5 principles of ownership
data ethics transparency
privacy
intent
outcome
13. what is the data collect, clean, organize, analyze, communicate
analytics process
2/6
