DATA AND ANALYTICS IN ACCOUNTING
COMPREHENSIVE STUDY SHEET 2026 SOLVED
QUESTIONS PREMIUM BUNDLE
◉ What are the 4 V's of big data?
Answer: Volume, Variety, Veracity, and Velocity.
◉ What does the 'analytics mindset' refer to?
Answer: A mental attitude focused on navigating big data to be a
successful accountant.
◉ What does SMART stand for in the context of asking questions?
Answer: Specific, Measurable, Achievable, Relevant, Timely.
◉ What does ETL stand for?
Answer: Extract, Transform, Load.
◉ What is the first step in the ETL process?
Answer: Extracting data.
◉ What are the three types of data?
, Answer: Structured data, semi-structured data, and unstructured
data.
◉ What is structured data?
Answer: Data that is highly organized and fits into fixed fields.
◉ What is semi-structured data?
Answer: Data that has some organization but is not fully organized
for relational databases.
◉ What is unstructured data?
Answer: Data that has no uniform structure.
◉ What are the four steps to transforming data?
Answer: Understand the data and desired outcome, standardize and
clean the data, validate data quality, document the transformation
process.
◉ What is data structuring?
Answer: The process of changing the organization and relationships
among data fields for analysis.
◉ What does data aggregation involve?
COMPREHENSIVE STUDY SHEET 2026 SOLVED
QUESTIONS PREMIUM BUNDLE
◉ What are the 4 V's of big data?
Answer: Volume, Variety, Veracity, and Velocity.
◉ What does the 'analytics mindset' refer to?
Answer: A mental attitude focused on navigating big data to be a
successful accountant.
◉ What does SMART stand for in the context of asking questions?
Answer: Specific, Measurable, Achievable, Relevant, Timely.
◉ What does ETL stand for?
Answer: Extract, Transform, Load.
◉ What is the first step in the ETL process?
Answer: Extracting data.
◉ What are the three types of data?
, Answer: Structured data, semi-structured data, and unstructured
data.
◉ What is structured data?
Answer: Data that is highly organized and fits into fixed fields.
◉ What is semi-structured data?
Answer: Data that has some organization but is not fully organized
for relational databases.
◉ What is unstructured data?
Answer: Data that has no uniform structure.
◉ What are the four steps to transforming data?
Answer: Understand the data and desired outcome, standardize and
clean the data, validate data quality, document the transformation
process.
◉ What is data structuring?
Answer: The process of changing the organization and relationships
among data fields for analysis.
◉ What does data aggregation involve?
