DATA AND ANALYTICS IN ACCOUNTING FINAL
PAPER 2026 COMPLETE QUESTIONS
ANSWERS PREMIUM STUDY GUIDE
◉ What is the purpose of the 'Address and Refine Results' step?
Answer: To identify issues with analyses and refine the model by
asking further questions and exploring data.
◉ What is important in the 'Communicate Insights' step?
Answer: Using clear language and visualizations like dashboards and
reports to communicate findings.
◉ What does the 'Track Outcomes' step involve?
Answer: Following up on the results of the analysis and observing
trends and changes over time.
◉ What skills do accountants need for data analytics?
Answer: They need to articulate business problems, communicate
with data scientists, draw conclusions, and present results.
◉ What are the key data analytics tools mentioned?
,Answer: Microsoft tools (Excel, Power BI) and Tableau tools
(Tableau Prep Builder, Tableau Desktop).
◉ What is the role of data scrubbing in data analytics?
Answer: It involves preparing data to ensure quality and
completeness before analysis.
◉ What is a primary key in a relational database?
Answer: A unique identifier for a record in a table.
◉ What is a foreign key?
Answer: An attribute in one table that points to a primary key in
another table.
◉ What are composite keys?
Answer: A combination of two foreign keys used for line items in a
database.
◉ What is the significance of descriptive attributes?
Answer: They include all other attributes that provide additional
information about records.
◉ How does data analytics change the audit process?
,Answer: It allows auditors to consider 100% of transactions,
improving risk detection.
◉ What is the relationship between data analytics and tax planning?
Answer: Data analytics helps companies develop sophisticated tax
planning strategies and understand tax implications.
◉ What ethical considerations are involved in data collection?
Answer: Ensuring data is collected and used responsibly and in
compliance with regulations.
◉ What is the role of data visualization in data analytics?
Answer: It helps present data findings in an accessible and
understandable manner.
◉ What does 'data normalization' mean?
Answer: The process of organizing data to minimize redundancy and
improve data integrity.
◉ What is the purpose of 'extraction, transformation, and loading'
(ETL)?
Answer: To prepare data for analysis by extracting it from sources,
transforming it into a usable format, and loading it into a target
system.
, ◉ What is the purpose of a primary key in a database?
Answer: To uniquely identify each record in a table.
◉ What is a non-key attribute?
Answer: An attribute that does not uniquely identify a record but
provides additional information.
◉ What does ETL stand for in data processing?
Answer: Extract, Transform, Load.
◉ What is the first step in the data request process?
Answer: Determine the purpose and scope of the data request.
◉ What should be validated during data validation?
Answer: Completeness and integrity of the data.
◉ What is the purpose of cleaning data?
Answer: To ensure data consistency and readiness for analysis.
◉ What are common issues with data that must be fixed before
analysis?
PAPER 2026 COMPLETE QUESTIONS
ANSWERS PREMIUM STUDY GUIDE
◉ What is the purpose of the 'Address and Refine Results' step?
Answer: To identify issues with analyses and refine the model by
asking further questions and exploring data.
◉ What is important in the 'Communicate Insights' step?
Answer: Using clear language and visualizations like dashboards and
reports to communicate findings.
◉ What does the 'Track Outcomes' step involve?
Answer: Following up on the results of the analysis and observing
trends and changes over time.
◉ What skills do accountants need for data analytics?
Answer: They need to articulate business problems, communicate
with data scientists, draw conclusions, and present results.
◉ What are the key data analytics tools mentioned?
,Answer: Microsoft tools (Excel, Power BI) and Tableau tools
(Tableau Prep Builder, Tableau Desktop).
◉ What is the role of data scrubbing in data analytics?
Answer: It involves preparing data to ensure quality and
completeness before analysis.
◉ What is a primary key in a relational database?
Answer: A unique identifier for a record in a table.
◉ What is a foreign key?
Answer: An attribute in one table that points to a primary key in
another table.
◉ What are composite keys?
Answer: A combination of two foreign keys used for line items in a
database.
◉ What is the significance of descriptive attributes?
Answer: They include all other attributes that provide additional
information about records.
◉ How does data analytics change the audit process?
,Answer: It allows auditors to consider 100% of transactions,
improving risk detection.
◉ What is the relationship between data analytics and tax planning?
Answer: Data analytics helps companies develop sophisticated tax
planning strategies and understand tax implications.
◉ What ethical considerations are involved in data collection?
Answer: Ensuring data is collected and used responsibly and in
compliance with regulations.
◉ What is the role of data visualization in data analytics?
Answer: It helps present data findings in an accessible and
understandable manner.
◉ What does 'data normalization' mean?
Answer: The process of organizing data to minimize redundancy and
improve data integrity.
◉ What is the purpose of 'extraction, transformation, and loading'
(ETL)?
Answer: To prepare data for analysis by extracting it from sources,
transforming it into a usable format, and loading it into a target
system.
, ◉ What is the purpose of a primary key in a database?
Answer: To uniquely identify each record in a table.
◉ What is a non-key attribute?
Answer: An attribute that does not uniquely identify a record but
provides additional information.
◉ What does ETL stand for in data processing?
Answer: Extract, Transform, Load.
◉ What is the first step in the data request process?
Answer: Determine the purpose and scope of the data request.
◉ What should be validated during data validation?
Answer: Completeness and integrity of the data.
◉ What is the purpose of cleaning data?
Answer: To ensure data consistency and readiness for analysis.
◉ What are common issues with data that must be fixed before
analysis?
