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DATA AND ANALYTICS IN ACCOUNTING EXAM REVIEW SOLVED QUESTIONS COMPLETE ANSWERS

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DATA AND ANALYTICS IN ACCOUNTING EXAM REVIEW SOLVED QUESTIONS COMPLETE ANSWERS

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DATA AND ANALYTICS IN ACCOUNTING EXAM REVIEW SOLVED QUESTIONS COMPLETE
ANSWERS GRADED A PLUS




Question:
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.



Question:
What is important in the 'Communicate Insights' step?

Answer:
Using clear language and visualizations like dashboards and reports to communicate findings.



Question:
What does the 'Track Outcomes' step involve?

Answer:
Following up on the results of the analysis and observing trends and changes over time.



Question:
What skills do accountants need for data analytics?

Answer:
They need to articulate business problems, communicate with data scientists, draw conclusions, and
present results.



Question:

,What are the key data analytics tools mentioned?

Answer:
Microsoft tools (Excel, Power BI) and Tableau tools (Tableau Prep Builder, Tableau Desktop).



Question:
What is the role of data scrubbing in data analytics?

Answer:
It involves preparing data to ensure quality and completeness before analysis.



Question:
What is a primary key in a relational database?

Answer:
A unique identifier for a record in a table.



Question:
What is a foreign key?

Answer:
An attribute in one table that points to a primary key in another table.



Question:
What are composite keys?

Answer:
A combination of two foreign keys used for line items in a database.



Question:
What is the significance of descriptive attributes?

,Answer:
They include all other attributes that provide additional information about records.



Question:
How does data analytics change the audit process?

Answer:
It allows auditors to consider 100% of transactions, improving risk detection.



Question:
What is the relationship between data analytics and tax planning?

Answer:
Data analytics helps companies develop sophisticated tax planning strategies and understand tax
implications.



Question:
What ethical considerations are involved in data collection?

Answer:
Ensuring data is collected and used responsibly and in compliance with regulations.



Question:
What is the role of data visualization in data analytics?

Answer:
It helps present data findings in an accessible and understandable manner.



Question:
What does 'data normalization' mean?

Answer:

, The process of organizing data to minimize redundancy and improve data integrity.



Question:
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.



Question:
What is the purpose of a primary key in a database?

Answer:
To uniquely identify each record in a table.



Question:
What is a non-key attribute?

Answer:
An attribute that does not uniquely identify a record but provides additional information.



Question:
What does ETL stand for in data processing?

Answer:
Extract, Transform, Load.



Question:
What is the first step in the data request process?

Answer:
Determine the purpose and scope of the data request.

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