Exam 1 - Data Analysis for Accounting
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Corp 3 Test Introduction to Data Analytics in Ac... Accounting Analytics Exam 2 Microe
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Practice questions for this set
Learn 1 /7 Study with Learn
graphical representation of an information system, illustrating relationships
among people, objects, and events within that system
Choose an answer
1 information overload 2 scripting
"Why did it happen?" is answered by _______
3 Entity Relationship Diagram (ERD) 4
analytics.
Don't know?
information overload access or exposure to too much info to be able to process
bloom's taxonomy -provides a hierarchical view of critical thinking skills.
-six levels of thinking in order from lowest to highest:
1) remember
2) understand
3) apply
4) analyze
5) evaluate
6) create
, AMPS model Ask the question
Master the Data
Perform the analysis
Share the story
"What happened?" is answered by _____ analytics descriptive
"Why did it happen?" is answered by _______ analytics. diagnostic
"Will it happen in the future?" is answered by _____ predictive
analytics
"What should we do based on what we expect will prescriptive
happen?" is answered by ______ analytics
visualization the representation of an object, situation, or set of information as a chart or other
image.
dashboard A graphical summary of various measures tracked by a company
static characterized by the lack of constant update, change, or activity
dynamic characterized by constant update, change, or activity
tools used by accountants -spreadsheets (like Excel)
-Query (Vlookup and SQL)
-scripting
-visualizations
scripting includes programs written to perform analytics to do repetitive tasks
data integrity the accuracy, validity, and consistency of data used and stored over time.
We can use accounting data analytics to 1) evaluate characteristics of journal entries
2) consider
3)predict the right level of the allowance for doubtful accounts
4)audit and verify account balances
5)Predict goodwill/impairment of goodwill
6)predict level of future sales return
7) minimize amount of taxes paid
Big Data a broad term for datasets so large or complex that traditional data processing
applications are inadequate.
The four V's of Big Data Volume, Velocity, Variety, Veracity
Volume sheer amount of data, regardless of its source
variety form of the data
Save
Students also studied
Corp 3 Test Introduction to Data Analytics in Ac... Accounting Analytics Exam 2 Microe
27 terms 64 terms 135 terms 49 terms
matthew_vales9 Preview mmferlita Preview melanie_fortson9 Preview bro
Practice questions for this set
Learn 1 /7 Study with Learn
graphical representation of an information system, illustrating relationships
among people, objects, and events within that system
Choose an answer
1 information overload 2 scripting
"Why did it happen?" is answered by _______
3 Entity Relationship Diagram (ERD) 4
analytics.
Don't know?
information overload access or exposure to too much info to be able to process
bloom's taxonomy -provides a hierarchical view of critical thinking skills.
-six levels of thinking in order from lowest to highest:
1) remember
2) understand
3) apply
4) analyze
5) evaluate
6) create
, AMPS model Ask the question
Master the Data
Perform the analysis
Share the story
"What happened?" is answered by _____ analytics descriptive
"Why did it happen?" is answered by _______ analytics. diagnostic
"Will it happen in the future?" is answered by _____ predictive
analytics
"What should we do based on what we expect will prescriptive
happen?" is answered by ______ analytics
visualization the representation of an object, situation, or set of information as a chart or other
image.
dashboard A graphical summary of various measures tracked by a company
static characterized by the lack of constant update, change, or activity
dynamic characterized by constant update, change, or activity
tools used by accountants -spreadsheets (like Excel)
-Query (Vlookup and SQL)
-scripting
-visualizations
scripting includes programs written to perform analytics to do repetitive tasks
data integrity the accuracy, validity, and consistency of data used and stored over time.
We can use accounting data analytics to 1) evaluate characteristics of journal entries
2) consider
3)predict the right level of the allowance for doubtful accounts
4)audit and verify account balances
5)Predict goodwill/impairment of goodwill
6)predict level of future sales return
7) minimize amount of taxes paid
Big Data a broad term for datasets so large or complex that traditional data processing
applications are inadequate.
The four V's of Big Data Volume, Velocity, Variety, Veracity
Volume sheer amount of data, regardless of its source
variety form of the data
