COST ACCOUNTING A DATA ANALYTICS
APPROACH CHAPTERS 1 TO 14 ACTUAL TEST
2026 VERIFIED QUESTIONS AND ANSWERS
COMPREHENSIVE STUDY GUIDE
◉ Accounting Data Analytics (ADA).
Answer: The application of data analytics techniques to accounting-
related data
◉ Descriptive Analytics.
Answer: Analytics that summarize historical data to understand
what has happened
◉ Diagnostic Analytics.
Answer: Analytics that examine data to understand why something
happened
◉ Predictive Analytics.
Answer: Analytics that use historical data to forecast future
outcomes
◉ Prescriptive Analytics.
,Answer: Analytics that recommend actions based on data and
analytical models
◉ Big Data.
Answer: Data sets characterized by high volume, velocity, and
variety
◉ Structured Data.
Answer: Data organized in a predefined format such as tables or
spreadsheets
◉ Unstructured Data.
Answer: Data that does not follow a predefined format, such as
emails or social media posts
◉ Data Governance.
Answer: Policies and procedures that ensure data quality, security,
and proper use
◉ Data Integrity.
Answer: The accuracy, completeness, and reliability of data
◉ Data Visualization.
, Answer: The graphical representation of data to communicate
insights clearly
◉ Professional Judgment.
Answer: The application of accounting knowledge and experience to
make informed decisions
◉ Business Intelligence (BI).
Answer: Technologies and processes used to analyze business data
for reporting and decision-making
◉ Internal Controls.
Answer: Processes designed to ensure reliable financial reporting
and compliance
◉ Audit Analytics.
Answer: The use of data analytics to enhance audit planning, testing,
and conclusions
◉ Data Cleaning.
Answer: The process of correcting or removing inaccurate or
incomplete data
APPROACH CHAPTERS 1 TO 14 ACTUAL TEST
2026 VERIFIED QUESTIONS AND ANSWERS
COMPREHENSIVE STUDY GUIDE
◉ Accounting Data Analytics (ADA).
Answer: The application of data analytics techniques to accounting-
related data
◉ Descriptive Analytics.
Answer: Analytics that summarize historical data to understand
what has happened
◉ Diagnostic Analytics.
Answer: Analytics that examine data to understand why something
happened
◉ Predictive Analytics.
Answer: Analytics that use historical data to forecast future
outcomes
◉ Prescriptive Analytics.
,Answer: Analytics that recommend actions based on data and
analytical models
◉ Big Data.
Answer: Data sets characterized by high volume, velocity, and
variety
◉ Structured Data.
Answer: Data organized in a predefined format such as tables or
spreadsheets
◉ Unstructured Data.
Answer: Data that does not follow a predefined format, such as
emails or social media posts
◉ Data Governance.
Answer: Policies and procedures that ensure data quality, security,
and proper use
◉ Data Integrity.
Answer: The accuracy, completeness, and reliability of data
◉ Data Visualization.
, Answer: The graphical representation of data to communicate
insights clearly
◉ Professional Judgment.
Answer: The application of accounting knowledge and experience to
make informed decisions
◉ Business Intelligence (BI).
Answer: Technologies and processes used to analyze business data
for reporting and decision-making
◉ Internal Controls.
Answer: Processes designed to ensure reliable financial reporting
and compliance
◉ Audit Analytics.
Answer: The use of data analytics to enhance audit planning, testing,
and conclusions
◉ Data Cleaning.
Answer: The process of correcting or removing inaccurate or
incomplete data