UNISA 2026
FOR3075 ASSIGNMENTS
FOR3705 Assignment 1
(COMPLETE ANSWERS)
Semester 1 2026 - DUE March
2026
VERIFIED AND CERTIFIED
ANSWERS. WRITTEN IN
REQUIRED FORMAT AND WITHIN
GIVEN GUIDELINES. IT IS GOOD
TO USE AS A GUIDE AND FOR
REFERENCE, NEVER PLAGARIZE.
Thank you and success in your
academics.
For more information and assistance contact us @
,FOR3705 Assignment 1 (COMPLETE ANSWERS) Semester 1 2026 - DUE March 2026
VERIFIED AND CERTIFIED ANSWERS. WRITTEN IN REQUIRED FORMAT AND
WITHIN GIVEN GUIDELINES. IT IS GOOD TO USE AS A GUIDE AND FOR
REFERENCE, NEVER PLAGARIZE. Thank you and success in your academics. UNISA,
2026
Contents
FOR3705 Assignment 1 (COMPLETE ANSWERS) Semester 1 2026 - DUE March 2026...................1
QUESTION 5.1: Demonstrate how undercover operations and surveillance operations can
be effectively utilised in financial crime investigation. (6 marks)..........................................31
QUESTION 5.2: Differentiate between the four main phases of the data analysis process
and discuss the significance of each phase. (6 marks)..........................................................32
QUESTION 5.3: Identify four significant advantages of using data analysis software in fraud
investigations. (4 marks)........................................................................................................33
QUESTION 5.4: Explain how the ‘net-worth method’ can be used to assist in proving that
fraud may have taken place. (5 marks)..................................................................................34
QUESTION 6: Differentiate between the two primary approaches to net-worth analysis
when examining an individual’s income sources. (5 marks)..................................................35
QUESTION 7: Analyse the purpose and key components of a financial profile in the context
of a net-worth analysis used to detect fraud. (10 marks)......................................................36
Optional Addition (for overlap with software advantages): Four significant advantages of
data analysis software in fraud investigations:......................................................................38
QUESTION 8: Data Analysis Software and the Data Analysis Process in Fraud Investigations
(30 marks)..............................................................................................................................38
QUESTION 1.2: Assess how data mining and data analysis complement each other in
detecting financial crimes. (5 marks).....................................................................................43
QUESTION 2.1: Compare public and non-public sources of information in financial crime
investigation. (4 marks)..........................................................................................................44
QUESTION 2.2: Explore three examples of each source type and argue their significance. (6
marks)....................................................................................................................................44
QUESTION 3.1: Evaluate five key advantages of using data analysis software in financial
crime investigation. (5 marks)................................................................................................45
QUESTION 3.2: Support each advantage with a practical example. (5 marks)......................46
1
, QUESTION 4: Distinguish the four main phases of the data analysis process and interpret
their importance. (8 marks)...................................................................................................46
QUESTION 5: Demonstrate how undercover operations and surveillance operations can be
effectively utilised in financial crime investigation. (6 marks)...............................................47
QUESTION 5: Explain what is meant by ‘data mining’ and discuss how data mining tools are
used to identify patterns and indicators of fraud in large datasets. (5 marks)......................48
QUESTION 6: Differentiate between the two primary approaches to net-worth analysis
when examining an individual’s income sources. (5 marks)..................................................49
QUESTION 7: Analyse the purpose and key components of a financial profile in the context
of a net-worth analysis used to detect fraud. (10 marks)......................................................49
Detecting Fraud through Data Analysis and Net-Worth Methods.........................................51
QUESTION 3...............................................................................................................................55
3.1: Evaluate five key advantages of using data analysis software in financial crime
investigation and discuss when the asset and expenditure methods are appropriate. (5
marks)....................................................................................................................................55
3.2: Explain what is meant by ‘data mining’ and discuss how data mining tools are used to
identify patterns and indicators of fraud in large datasets. Identify four advantages of data
analysis software and discuss how they enhance investigation effectiveness. (5 marks).....56
QUESTION 4: Distinguish the four main phases of the data analysis process and interpret their
importance. (8 marks)................................................................................................................57
QUESTION 5: Demonstrate how undercover operations and surveillance operations can be
effectively utilised in financial crime investigation. (6 marks)...................................................58
Optional Integration: Advantages of Data Analysis Software in Fraud Investigations...........59
Advanced Forensic Crime Intelligence: Detecting Financial Fraud........................................59
QUESTION 5: The Net-Worth Method and Data Analysis Phases..........................................60
QUESTION 6: Two Primary Approaches to Net-Worth Analysis............................................61
QUESTION 7: Financial Profile and Advantages of Data Analysis Software...........................62
QUESTION 8: Integration of Data Analysis, Net-Worth Methods, and Information Sources 63
ADVANCED FORENSIC CRIME INTELLIGENCE FOR3705 ASSESSMENT 01
SEMESTER 1 2026
2
, QUESTION 1 1.1 Analyze the relationship between data mining and data analysis in
financial crime investigation.
(5 Marks
Answer:
Data mining and data analysis are closely related processes used in financial crime investigation
to detect, prevent, and understand fraudulent activities.
1. Data Mining as a Tool for Extracting Patterns:
Data mining involves using advanced computational techniques to sift through large
volumes of financial data to identify patterns, trends, and anomalies that may indicate
suspicious or illegal activity. For example, unusual transaction patterns or abnormal
account behavior can be detected through clustering or classification algorithms.
2. Data Analysis as Interpretation:
Data analysis is the process of examining, cleaning, and interpreting the extracted data to
draw meaningful conclusions. Analysts use the patterns identified by data mining to
determine the likelihood of fraud, money laundering, or other financial crimes.
3. Relationship:
o Data mining feeds data analysis by providing structured and actionable patterns
from raw financial data.
o Data analysis validates and interprets the results of data mining, turning
technical findings into insights that investigators can act upon.
4. Example in Financial Crime:
For instance, data mining may flag a series of small deposits followed by large
3
FOR3075 ASSIGNMENTS
FOR3705 Assignment 1
(COMPLETE ANSWERS)
Semester 1 2026 - DUE March
2026
VERIFIED AND CERTIFIED
ANSWERS. WRITTEN IN
REQUIRED FORMAT AND WITHIN
GIVEN GUIDELINES. IT IS GOOD
TO USE AS A GUIDE AND FOR
REFERENCE, NEVER PLAGARIZE.
Thank you and success in your
academics.
For more information and assistance contact us @
,FOR3705 Assignment 1 (COMPLETE ANSWERS) Semester 1 2026 - DUE March 2026
VERIFIED AND CERTIFIED ANSWERS. WRITTEN IN REQUIRED FORMAT AND
WITHIN GIVEN GUIDELINES. IT IS GOOD TO USE AS A GUIDE AND FOR
REFERENCE, NEVER PLAGARIZE. Thank you and success in your academics. UNISA,
2026
Contents
FOR3705 Assignment 1 (COMPLETE ANSWERS) Semester 1 2026 - DUE March 2026...................1
QUESTION 5.1: Demonstrate how undercover operations and surveillance operations can
be effectively utilised in financial crime investigation. (6 marks)..........................................31
QUESTION 5.2: Differentiate between the four main phases of the data analysis process
and discuss the significance of each phase. (6 marks)..........................................................32
QUESTION 5.3: Identify four significant advantages of using data analysis software in fraud
investigations. (4 marks)........................................................................................................33
QUESTION 5.4: Explain how the ‘net-worth method’ can be used to assist in proving that
fraud may have taken place. (5 marks)..................................................................................34
QUESTION 6: Differentiate between the two primary approaches to net-worth analysis
when examining an individual’s income sources. (5 marks)..................................................35
QUESTION 7: Analyse the purpose and key components of a financial profile in the context
of a net-worth analysis used to detect fraud. (10 marks)......................................................36
Optional Addition (for overlap with software advantages): Four significant advantages of
data analysis software in fraud investigations:......................................................................38
QUESTION 8: Data Analysis Software and the Data Analysis Process in Fraud Investigations
(30 marks)..............................................................................................................................38
QUESTION 1.2: Assess how data mining and data analysis complement each other in
detecting financial crimes. (5 marks).....................................................................................43
QUESTION 2.1: Compare public and non-public sources of information in financial crime
investigation. (4 marks)..........................................................................................................44
QUESTION 2.2: Explore three examples of each source type and argue their significance. (6
marks)....................................................................................................................................44
QUESTION 3.1: Evaluate five key advantages of using data analysis software in financial
crime investigation. (5 marks)................................................................................................45
QUESTION 3.2: Support each advantage with a practical example. (5 marks)......................46
1
, QUESTION 4: Distinguish the four main phases of the data analysis process and interpret
their importance. (8 marks)...................................................................................................46
QUESTION 5: Demonstrate how undercover operations and surveillance operations can be
effectively utilised in financial crime investigation. (6 marks)...............................................47
QUESTION 5: Explain what is meant by ‘data mining’ and discuss how data mining tools are
used to identify patterns and indicators of fraud in large datasets. (5 marks)......................48
QUESTION 6: Differentiate between the two primary approaches to net-worth analysis
when examining an individual’s income sources. (5 marks)..................................................49
QUESTION 7: Analyse the purpose and key components of a financial profile in the context
of a net-worth analysis used to detect fraud. (10 marks)......................................................49
Detecting Fraud through Data Analysis and Net-Worth Methods.........................................51
QUESTION 3...............................................................................................................................55
3.1: Evaluate five key advantages of using data analysis software in financial crime
investigation and discuss when the asset and expenditure methods are appropriate. (5
marks)....................................................................................................................................55
3.2: Explain what is meant by ‘data mining’ and discuss how data mining tools are used to
identify patterns and indicators of fraud in large datasets. Identify four advantages of data
analysis software and discuss how they enhance investigation effectiveness. (5 marks).....56
QUESTION 4: Distinguish the four main phases of the data analysis process and interpret their
importance. (8 marks)................................................................................................................57
QUESTION 5: Demonstrate how undercover operations and surveillance operations can be
effectively utilised in financial crime investigation. (6 marks)...................................................58
Optional Integration: Advantages of Data Analysis Software in Fraud Investigations...........59
Advanced Forensic Crime Intelligence: Detecting Financial Fraud........................................59
QUESTION 5: The Net-Worth Method and Data Analysis Phases..........................................60
QUESTION 6: Two Primary Approaches to Net-Worth Analysis............................................61
QUESTION 7: Financial Profile and Advantages of Data Analysis Software...........................62
QUESTION 8: Integration of Data Analysis, Net-Worth Methods, and Information Sources 63
ADVANCED FORENSIC CRIME INTELLIGENCE FOR3705 ASSESSMENT 01
SEMESTER 1 2026
2
, QUESTION 1 1.1 Analyze the relationship between data mining and data analysis in
financial crime investigation.
(5 Marks
Answer:
Data mining and data analysis are closely related processes used in financial crime investigation
to detect, prevent, and understand fraudulent activities.
1. Data Mining as a Tool for Extracting Patterns:
Data mining involves using advanced computational techniques to sift through large
volumes of financial data to identify patterns, trends, and anomalies that may indicate
suspicious or illegal activity. For example, unusual transaction patterns or abnormal
account behavior can be detected through clustering or classification algorithms.
2. Data Analysis as Interpretation:
Data analysis is the process of examining, cleaning, and interpreting the extracted data to
draw meaningful conclusions. Analysts use the patterns identified by data mining to
determine the likelihood of fraud, money laundering, or other financial crimes.
3. Relationship:
o Data mining feeds data analysis by providing structured and actionable patterns
from raw financial data.
o Data analysis validates and interprets the results of data mining, turning
technical findings into insights that investigators can act upon.
4. Example in Financial Crime:
For instance, data mining may flag a series of small deposits followed by large
3
