Financial Data Search and Analysis Exercise

                Subject: Business

Topic: Financial Data Search and Analysis Exercise

Financial Data Search and Analysis Exercise

By now, you have already read the Chapter on Database Management.  This exercise will develop your competencies in using large corporate financial and market databases as well as developing your skills in extracting, downloading and analyzing data to support decision-making. Here are the instructions.

These instructions are step-by-step, however, sometimes the user-interfaces to the database change.  In the event that you have questions or there are changes please contact a Pepperdine librarian with any database questions.

Pepperdine Library

Databases Search

Library Support and Resources for Students

Ask a Librarian

 

Financial and Economic Data Search and Analysis
Grading rubric
P+ denotes “exceeded expectations”
P denotes “met expectations”
P- denotes “below expectations”
The name of your chosen company must begin with the same first letter as your first name.
Specify that you want Annual Income Statements for 15 years with figures reported in US$ denominated in Thousands.
Save the file on your laptop using a filename that follows the naming convention:
mylastname_myfirstinitial_companyname_rawdata_2017_mm_dd where mm is the month number and dd is the day
number you create the file (note: there are NO spaces, NO dots, use the official company name, and use the
underscores exactly as I have stated, but insert your last name and first name at the obvious places!).
Select “Comparison Reports”. Generate an excel AND a PDF report that lists the Top 50 international active companies
with the same SIC code, and for each company lists the following data across the columns: the country of operations,
the year the company was founded, total revenue, R&D, advertising, selling general & administrative expenses,
inventory turnover, EBITDA, advertising as a percentage of Total Revenue, EBITDA Margin %, net income, and the
number of employees. Request average values for these to be displayed. Save these reports on your laptop using the
naming convention mylastname_myfirstinitial_companyname_comparisons_2017_mm_dd
Select Canada, China, India, Mexico, and the USA. Select Market Sizes – Change the Time Series to select the last 10
years – Convert the data to “Retail Value RSP” (retail selling price?) and the currency to US$ fixed exchange rates to get a
standard comparison. Export the report to Excel, and save on your laptop in a file called:
mylastname_myfirstinitial_countrymarketdata_2017_mm_dd
Convert the data to show the values “per household”. Export the revised report to Excel, and save on your laptop in a
file called: mylastname_myfirstinitial_households_2017_mm_dd
Under “More Results” select “Company Shares”. Export this report to Excel, and save on your laptop in a file called:
mylastname_myfirstinitial_companyshares_2017_mm_dd
Save a new version of [the raw data] using mylastname_myfirstinitial_companyname_withcalcs_2017_mm_dd
Calculate: Revenue (or Net sales) per employee; Selling, delivery & administrative expenses as a % of Gross Profit; %
Year over Year change in Net Income for the past 14 years
Show all values with two decimal places, with the appropriate $ or % symbol shown in the cell.
You may need to adjust the formatting of the columns so that you can clearly see the values reported.
Create a line graph that plots “Revenue (or Net sales) per employee” and “Selling, delivery & administrative expenses as
a % of Gross Profit” on the vertical axis, with time (years) across the horizontal axis
Save a new version of the company comparisons file file using the name
mylastname_myfirstinitial_companyname_top50peers_2017_mm_dd.
Delete the rows containing the preamble about your chosen company so that the first row in your spreadsheet
becomes the row containing “* all results are stated in US Dollars”
Adjust the column width to allow for each reading of the main table
(hint: numerical formulas and functions only work on numeric values, not value that appear to be numeric)
At the bottom of the table, add rows and construct formulas for the following:
• Calculate the average values for each of the data fields to verify that the Mergent provided values are correct.
• Calculate the difference between your calculated average value and the Mergent provided value.
• Show the max value in each column
• Show your company’s value in this column as a % of the max value, to two decimal places.
To the right of the table, add columns and construct formulas for the following:
• Revenue (or Net sales) per employee
• Selling, delivery & administrative expenses as a % of Total Revenue
Finally, sort the companies in decreasing order of revenue per employee.
Finally, upload the eight (8) files you have created to the Sakai Assignment 1 folder by the deadline.
Overall grade %

Don't use plagiarized sources. Get Your Custom Essay on
Financial Data Search and Analysis Exercise
Just from $10/Page
Order Essay

ISTM 654 Financial Data Search and Analytics Exercise
Choose your company. The following website is useful to help you identify a company starting
with the first letter of your last name: ​ ​http://www.investorguide.com/stock-list.php
STEP 1: ​ ​Verify selected company has been publicly traded for at least
15 years
Check that the company you selected has been a publicly traded company for at least 15 years.
Before submitting your choice of company, please make sure that the Annual Income Statement
for the past 15 years is available in the ​Mergent Database ​ (see STEP 3 on how to do this).
On the Forum, POST YOUR COMPANY CHOICE (the goal is for each of you to select a
different company so if you see the company you would like to do is posted, choose a different
one).
STEP 2: ​ ​Library and Excel Guides
Visit ​ ​http://infoguides.pepperdine.edu/GSBMintro ​ for an information guide to the online library
and data resources available to Graziadio School students.
Note the
“ ​Industry Research ​”
“ ​Company Research ​” and
“ ​International Information ​” tabs.
If you need assistance, you can consult with a librarian in person during business hours at the
Drescher Library, our use the online consultation service at ​ ​http://pepperdine.libanswers.com/ ​.
Tune up your MS Excel skills (as needed)
MS Excel Tutorial
https://www.gcflearnfree.org/excel2016/
Multiple videos on YouTube: search for “excel 2016 tutorial” or “excel 2013 tutorial”, check out
the ratings and make your own choice!
STEP 3: Mergent Database
Extract and download the Annual Income Statements for the past 15 years for your
chosen/assigned company:
Open ​ ​http://library.pepperdine.edu/ ​ in your browser
Choose “Databases and E-Journals”
Under “By Subject,” select “Business/Economics”
Locate the two databases that we will be using for this project:
● Mergent Online ​ database for company specific data
● Passport ​ database (formerly the ​ ​Global Market Information Database ​ for historical and
forecasted market size data.
Select the ​Mergent Online ​ database and if necessary log in with your Pepperdine ID and
password.
Enter your company name, click “Go” and select your company from the list of companies
displayed.
On the main screen, note the ​Sector ​ name and ​Industry ​/ ​SIC code ​ of your chosen company in
the top banner (you’ll need this for the search within the second database).
Click on the “ ​Company Financials ​” tab
Specify that you want the ​Annuals ​ ​Income Statement ​ for the past ​15 years/quarters ​ reported in
United States Dollar ​ currency values, denominated ​In Thousands ​ (note that these underlined
elements are options you select). Click on “Refresh” to request the data.
When you are confident that you have the correct data, click on the “Download” button to
retrieve an excel file. Save the file, using this filename naming convention:
mylastname_myfirstinitial_companyname_rawdata_year_mm_dd
​ where mm is the month
and dd is the day you create the file ​(note: there are NO spaces, NO dots, use the official
company name, and use the underscores exactly as I have stated, but insert your lastname and
first initial, for example “stewart_s_safebrain_rawdata_2018_02_04”).
DONE
Note that adhering to mandated filenames is often essential for automated data uploads: if you
use a file name other than that specified, your data won’t be included by an automated data
collection program.
For this assignment, you will have to upload this file and other files manually to Sakai/Courses
to submit your assignment.
Next, click on the “ ​Report Builder ​” tab.
Select “Comparison Reports”
Note that now that you are getting familiar with the database, I am going to reduce the level of
specificity of the instructions.
Generate an ​Excel ​ AND a ​PDF ​ report that lists the ​Top 50 ​, ​international ​, ​Active​ ​companies
classified by the ​same ​ ​SIC code ​, and lists the following ​Data Items ​ (in the order specified) for
the latest year with ​Years Across ​ the columns:
the country of operations,
the year the company was founded,
total revenue,
R&D,
Advertising,
selling general & administrative expenses,
inventory turnover,
EBITDA,
advertising as a percentage of Total Revenue,
EBITDA Margin %,
net income, and
the number of employees.
The main part of the report should appear as a table, with one company per row, with each of
the above data values in the columns. Request that average values be included (i.e. click the
“Include Average” box). Save the EXCEL ​and ​ PDF reports using the naming convention
mylastname_myfirstinitial_companyname_comparisons_year_mm_dd
STEP 4: Passport Database
Next you are going to identify some global market data that is related to your firm’s industry.
Switch to the Passport database (formerly ​Global Market Information Database).
Review and accept the terms and conditions of use. “Watch an Overview” to learn what
Passport does.
** Note that the Passport database only offers data on consumer product industries. If
your company is not a consumer products company, you may have to opt for an
unrelated industry for this part of the assignment, which is fine for the purpose of the
assignment.
On the first screen, select “Industries” from the top-level menu (on the top right-hand side of the
screen) and choose an industry sector that most closely relates to the industry of your
chosen/assigned company. If none of the available sectors is related, pick a sector of personal
interest to you.
On the next screen, under “Search Tree” select your industry and click “Go”.
On the next screen click on the “Geographies” tab.
From the appropriate region select Canada, China, India, Mexico, and the USA.
“ ​Run Search ​”.
Under “Popular Statistics”, select the “ ​Market Sizes ​” report ( ​but for future projects in other
subjects, take a look at the very comprehensive range of reports to which you have free access)
Change the Time Series to select the last 10 years of data ​(scroll down and select “Apply” to
generate the revised report)
Convert the currency to US$ fixed exchange rates, and under “Change Data Types” set the data
type to “Retail Value RSP excl Sales Tax” to get a standard comparison.
Export the report to Excel (current view only), and save on your laptop in a file called:
mylastname_myfirstinitial_countrymarketdata_year_mm_dd
Convert the data to show the values “per household”.
Export the revised report to Excel, and save on your laptop in a file named:
mylastname_myfirstinitial_households_year_mm_dd
Click “Back to Results” tab and select “Company Shares”. Select 10 years of data. View the
statistics.
Export this report to Excel, and save in a file named:
Mylastname_myfirstinitial_companyshares_year_mm_dd
STEP 5: Modify Existing Excel Files
Next, you will make modifications to the excel files you just created.
Open your ​mylastname_myfirstinitial_companyname_rawdata_year_mm_dd ​ ​file in Excel.
To protect your original raw data file, immediately save a new version of this file ​using the
filename mylastname_myfirstinitial_companyname_withcalcs_year_mm_dd
If present, remove the blank columns between the years of financial data.
At the bottom of the spreadsheet, add the following rows and formulas to complete the following
calculations:
Revenue (or Net sales) per employee
Selling, general & administrative expenses as a % of Gross Profit – ​need to check
% Year over Year change in Net Income for the past 14 years
Show all values with two decimal places, with the appropriate $ or % symbol shown in the cell.
You may need to adjust the formatting of the columns so that you can clearly see the values
reported.
Create a line graph that plots “ ​Revenue (or Net sales) per employee” ​and ​ “Selling, general &
administrative expenses as a % of Gross Profit” ​on the vertical axis, with time (years) across
the horizontal axis
Save your updated file ​and ensure that the filename is
Mylastname_myfirstinitial_companyname_withcalcs_year_mm_dd
Open the ​ mylastname_myfirstinitial_companyname_comparisons_year_mm_dd ​file ​.
To protect your work, immediately save a new version of this file using the filename
mylastname_myfirstinitial_companyname_top50peers_year_mm_dd.
Delete the rows containing the preamble about your chosen company so that the first row in
your spreadsheet becomes the row containing ​“* all results are stated in US Dollars ​”
Adjust the column width to allow for each reading of the main table ​(hint: numerical formulas
and functions only work on numeric values, not value that appear to be numeric)
At the bottom of the table, add rows and construct formulas for the following:
1. Calculate the average values for each of the columns. Then verify that the Mergent
provided values are correct. To do this, compare the Mergent “Peer avr” to your
calculated average.
2. Show the max value in each column
3. Show your company’s value in this column as a % of the max value, to two decimal
places.
To the right of the table, add columns and construct formulas for the following:
1. Revenue (or Net sales) per employee
2. Selling, delivery & administrative expenses as a % of Total Revenue
Sort the companies in decreasing order of revenue per employee.
Resave your file using the filename
Upload the eight (8) files you have created to the “Financial Data Exercise”
mylastname_myfirstinitial_companyname_top50peers_year_mm_dd.
See “Assignments” on main course menu.

FRAUD IN THE WAKE OF
COVID-19:
Benchmarking Report
SEPTEMBER 2020 EDITION
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 2
TABLE OF CONTENTS
Introduction � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 3
How COVID-19 is affecting the overall level of fraud � � � � � � � � � � � � � 4
How COVID-19 is affecting specific fraud risks� � � � � � � � � � � � � � � � � � 6
How COVID-19 is affecting organizations’ anti-fraud programs � � � � 8
How COVID-19 is affecting the ability to fight fraud� � � � � � � � � � � � � �10
Methodology and demographics of survey respondents � � � � � � � � � 14
About the ACFE � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � �18
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 3
As the COVID-19 pandemic enters another calendar quarter, its effects continue to permeate numerous aspects of global
business operations—including organizations’ fraud risks and anti-fraud programs� Following our initial benchmarking report
on fraud trends in the wake of COVID-19 (released in June 2020), we conducted a second survey from late July to mid-August
2020 to gauge how these effects continue to unfold for organizations around the world� This report summarizes the results
of this second survey�
As with our previous research, we are exceptionally grateful to the ACFE members who contributed their time and insight
into the current and anticipated state of the anti-fraud profession during the global pandemic� We hope that the information
provided in this series of studies is useful to anti-fraud practitioners, business leaders, and the general public in understanding the evolution of fraud in the wake of the coronavirus, as well as the importance of heightening anti-fraud measures to
protect against fraudulent activity during this unprecedented time�
INTRODUCTION
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 4
As of August 2020, 77% of respondents said they had observed an increase in the overall level of fraud, with one-third
noting that this increase has been significant� The observed level of fraud has grown since our May 2020 study, in which
68% of respondents had seen an increase in fraud, with one-quarter observing a significant increase� Our findings indicate
this uptick is likely to continue; 92% of respondents expect to see a further increase in the overall level of fraud during the
next year, and nearly half expect that increase to be significant�
How COVID-19 is affecting the overall level of fraud
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 5
FIG. 1 Change in the overall level of fraud
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Expected over
next 12 months
Observed as of
August 2020
Observed as of
May 2020
Significant increase Slight increase No change Slight decrease Significant decrease
25%
48% 44% 5%
43% 22% 7%
2%1%
3%
34% 43% 18% 3%2%
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 6
While the overall level of fraud has increased in the wake of COVID-19, certain types of fraud are presenting more pervasive risks
to organizations than others� We asked survey respondents about the current and expected change in 12 individual categories
of fraud risks; while the majority of respondents noted an increase in each of these categories, several risks appear to be more
prominent across the board�
As in our May 2020 study, cyberfraud (e�g�, business email compromise, hacking, ransomware, and malware) continues to be
the most heightened risk for organizations, with 83% of respondents already observing an increase in these schemes and 90%
anticipating a further increase over the next year� Other significant risks in terms of both observed and expected increases include
unemployment fraud, payment fraud (e�g�, credit card fraud and fraudulent mobile payments), and fraud by vendors and sellers
(e�g�, price gouging, product misrepresentation, and overbilling)�
How COVID-19 is affecting specific fraud risks
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 7
FIG. 2 Change in specific fraud risks
*Unemployment fraud and bankruptcy fraud were not included in May 2020 benchmarking study.
0%
20%
40%
60%
80%
100%
36%
45% 47%
Significant increase Slight increase
30%
60%
Cyberfraud
36%
Observed as of
May 2020
Expected over
next 12 months
Observed as of
August 2020
81%
83% 90%
0%
20%
40%
60%
80%
100%
34% 36%
34% 33%
Significant increase Slight increase
41%
42%
Fraud by vendors and sellers
Observed as of
May 2020
Expected over
next 12 months
Observed as of
August 2020
83%
68% 69%
0%
20%
40%
60%
80%
100%
30%
36%
22%
16%
Significant increase Slight increase
40%
40%
Insurance fraud
Observed as of
May 2020
Expected over
next 12 months
Observed as of
August 2020
46% 58%
80%
0%
20%
40%
60%
80%
100%
25%
30%
8% 12%
Significant increase Slight increase
46%
27%
Employee embezzlement
Observed as of
May 2020
Expected over
next 12 months
Observed as of
August 2020
73%
42%
33%
0%
20%
40%
60%
80%
100%
Significant increase Slight increase
23%
29%
7%
Observed as of
May 2020
Expected over
next 12 months
Observed as of
August 2020
29%
12%
42%
30%
72%
41%
30%
Financial statement fraud
0%
20%
40%
60%
80%
100%
Bribery and corruption
28%
26%
23%
15%
Significant increase Slight increase
38%
43% 49% 32%
70%
Observed as of
May 2020
Expected over
next 12 months
Observed as of
August 2020
0
20
40
60
80
100
Unemployment fraud*
32%
34%
52%
41%
Significant increase Slight increase
Expected over next
12 months
Observed as of
August 2020
73%
86%
0%
20%
40%
60%
80%
100%
33%
29%
35%
26%
Significant increase Slight increase
35%
48%
Health care fraud
83%
64%
59%
Observed as of
May 2020
Expected over
next 12 months
Observed as of
August 2020
0%
20%
40%
60%
80%
100%
30%
35%
22%
16%
Significant increase Slight increase
40%
36%
Loan and bank fraud
Observed as of
May 2020
Expected over
next 12 months
Observed as of
August 2020
46% 57%
76%
0%
20%
40%
60%
80%
100%
36%
37%
31%
24%
Significant increase Slight increase
38%
47%
Payment fraud
Observed as of
May 2020
Expected over
next 12 months
Observed as of
August 2020
60%
68%
85%
0%
20%
40%
60%
80%
100%
35%
38%
29%
22%
Significant increase Slight increase
39%
43%
Identity theft
82%
67%
57%
Observed as of
May 2020
Expected over
next 12 months
Observed as of
August 2020
0
20
40
60
80
100
Bankruptcy fraud*
28%
38%
38%
17%
Expected over next
12 months
Observed as of
August 2020
Significant increase Slight increase
76%
45%
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 8
To understand how the effects of COVID-19 translate specifically to organizations’ anti-fraud programs, we asked respondents
about the expected changes in their program budgets and resources over the next 12 months� Overall budgets for anti-fraud
programs are generally expected to either increase (38%) or remain about the same (48%); only 14% of respondents anticipate a decreased budget for their anti-fraud programs during the next year� However, within those budgets, there is some
variation regarding the anticipated level and type of changes for individual components�
Budgets for travel for anti-fraud staff are expected to decrease the most, with 42% of respondents predicting a slight or
significant decrease in this area� On the other end of the spectrum, 44% of respondents’ organizations are likely to increase
their spending on anti-fraud technology, and approximately one-third will likely increase their budgets for both fraud-related consultants and anti-fraud training during the same period� Staffing levels for anti-fraud teams are also expected to hold
steady or increase for the vast majority of organizations, with only 14% of respondents noting that they expect a reduction
in their anti-fraud staff during the next 12 months�
How COVID-19 is affecting organizations’ anti-fraud programs
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 9
FIG. 3 Expected change in anti-fraud program budgets and resources over the next 12 months
Budget for travel for
anti-fraud sta

Budget for anti-fraud training
and professional development
Use of fraud-related consultants
or other external resources
Investment in
anti-fraud technology
Level of anti-fraud sta ng
Overall budget for
anti-fraud program 5% 9%
12%
10%
10%
11%
10%
16%
23%
48%
8% 37%
45% 24%
39% 24%
26%
31%
Significant decrease Slight decrease No change Slight increase Significant increase
4%
19%
56% 23%
37% 15%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
12%
7%
13%
9%
11%
6%
EXPECTED CHANGE IN ANTI-FRAUD PROGRAM BUDGETS AND RESOURCES OVER 12 MONTHS
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 10
DIFFICULTY IN PREVENTING, DETECTING, AND INVESTIGATING FRAUD
We asked survey respondents about the difficulty level of preventing, detecting, and investigating fraud in the wake of COVID-19�
Unsurprisingly, respondents overwhelmingly indicated that all three of these activities are more difficult now than they were previously� More than three-quarters indicated that preventing fraud is more challenging in the current environment, with 26% noting that
it is significantly so� Similarly, 74% of respondents have found investigating fraud more difficult (31% significantly more challenging),
and 68% have found fraud detection more difficult (21% significantly more challenging)�
How COVID-19 is affecting the ability to fight fraud
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 11
0%
10%
20%
30%
40%
50%
60%
Significantly more
challenging
Slightly more Significantly easier
challenging
No change Slightly easier
Preventing fraud
Detecting fraud
Investigating fraud
26%
21%
31%
50%
47%
43%
23%
28%
23%
2% 3% 2%
1% 1% 1%
FIG. 4 Change in difficulty level of anti-fraud activities
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 12
COMMON CHALLENGES IN FIGHTING FRAUD
Our study shows that the primary reasons that fighting fraud has become more difficult are tied predominantly to the
physical restrictions currently placed on individuals in many locations� When asked about their most prominent challenges
in combating fraud in the current environment, respondents noted the inability to travel, issues with conducting remote
interviews, and lack of access to evidence as their top difficulties� These findings have shifted somewhat from our initial
study in May 2020, when slightly more individuals were challenged by canceled or postponed engagements (35% in May
versus 31% in August), and slightly fewer noted remote interviews as a top challenge (28% in May versus 36% in August)�
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 13
August 2020 May 2020
Reduction in anti-fraud sta
Lack of access to professional training
Decreased budget for anti-fraud programs or intiatives
Changes in legal/criminal justice system
Changes in controls due to stang changes/reductions
Technology challenges
Lack of oversight due to remote workforce
Changes in controls due to remote workforce
Maintaining data privacy/security
Communication challenges or delays
Canceled or postponed engagements or investigations
Lack of access to evidence
Challenges in conducting remote interviews
Inability to travel
38%
33%
36%
28%
31%
28%
25%
27%
43%
22%
20%
18%
15%
35%
32%
27%
27%
26%
26%
12%
13%
14%
13%
9%
7%
4%
6%
6%
0% 10% 20% 30% 40% 50%
FIG. 5 Most prominent challenges in combating fraud in the wake of COVID-19
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 14
In late July 2020, we invited 81,049 ACFE members to participate in a 12-question survey� Survey responses were collected
anonymously� We received 2,096 survey responses that were usable for purposes of this report; all findings presented herein
are based on these responses�
INDUSTRY
Nearly one-quarter of survey respondents work in the banking and financial services industry, 20% are in the government and
public administration sector, and 15% work in professional services� The remaining 42% of respondents are distributed across
other industries�
Methodology and demographics of survey respondents
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 15
FIG. 6 Industry of respondents’ organizations
� 5%����
Education
� 23%����
Banking and
financial services
� 20%����
Government and
public administration
� 15%����
Services
(professional)
� 5%����
Health care
� 5%����
Insurance Manufacturing
� 4%����
� 2%����
Religious, charitable,
or social services
� 3%����
Technology
� 2%����
Transportation and
warehousing
� 1%����
Telecommunications
Energy
� 2%���� � 2%����
Services
(other)
� 1%����
Retail
�� 3%���
Other
�� 1%���
Food service
and hospitality
�� 1%���
Utilities
�� 1%���
Construction
�� 1%���
Arts, entertainment,
and recreation
�� <1%���
Real estate
�� 1%���
Mining
�� <1%���
Communications
and publishing
�� 1%���
Agriculture, forestry,
fishing, and hunting
�� <1%���
Wholesale trade
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 16
REGION
Our survey respondents reflect the geographic makeup of ACFE membership, providing a global view into fraud in the
wake of COVID-19� Just over half (54%) of the respondents to our survey reside in the United States and Canada; 13% live
in Sub-Saharan Africa; 7% each live in the Asia-Pacific region, Southern Asia, and Western Europe; 5% live in the Middle
East and North Africa; 4% live in Latin America and the Caribbean; and 3% live in Eastern Europe and Western/Central Asia�
United States
and Canada
Latin America and
the Caribbean
Western Europe
Sub-Saharan Africa
Middle East and
North Africa
Eastern Europe and
Western Central Asia
Southern Asia
Asia-Pacific
54%
13%
7%
5%
3%
4%
7%
7%
FIG. 7 Region of respondents’ organizations
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 17
0%
5%
10%
15%
20%
25%
30%
<100 employees 100–999 employees 1,000–9,999 employees 10,000+ employees
22%
24%
29%
25%
ORGANIZATION SIZE
We asked respondents about the size of their employing organizations� As shown in Figure 8, respondents were fairly evenly
split among the four size categories�
FIG. 8 Size of respondents’ organizations
PROFESSIONAL ROLE
More than half (57%) of the respondents
in our study work in-house and conduct
fraud-related engagements within a single
company or agency, while 21% work for a
professional services firm that conducts
fraud-related engagements on behalf of
client organizations� Another 12% work for
a law enforcement, government, or regulatory
agency that conducts fraud investigations
of other parties under their employing
agency’s authority� regulatory agency Law enforcement, government, or services firm Professional 12% 21%�� 57% In-house examiner�������
10%
Other
FIG. 9 Respondents’ professional roles
Fraud in the Wake of COVID-19: Benchmarking Report – September 2020 edition | 18
ABOUT THE ACFE
Founded in 1988 by Dr. Joseph T. Wells, CFE, CPA, the ACFE is the world’s largest anti-fraud
organization and premier provider of anti-fraud training and education. Together with more than
85,000 members in more than 180 countries, the ACFE is reducing business fraud worldwide
and providing the training and resources needed to fight fraud more effectively.
The positive effects of anti-fraud training are far-reaching. Clearly, the best way to combat
fraud is to educate anyone engaged in fighting fraud on how to effectively prevent, detect and
investigate it. By educating, uniting and supporting the global anti-fraud community with the
tools to fight fraud more effectively, the ACFE is reducing business fraud worldwide and inspiring
public confidence in the integrity and objectivity of the profession. The ACFE offers its members
the opportunity for professional certification. The Certified Fraud Examiner (CFE) credential is
preferred by businesses and government entities around the world and indicates expertise in
fraud prevention and detection.
MEMBERSHIP
Immediate access to world-class anti-fraud knowledge and tools is a necessity in the fight
against fraud. Members of the ACFE include accountants, internal auditors, fraud investigators,
law enforcement officers, lawyers, business leaders, risk/compliance professionals and
educators, all of whom have access to expert training, educational tools and resources. Members
from all over the world have come to depend on the ACFE for solutions to the challenges they
face in their professions. Whether their career is focused exclusively on preventing and detecting
fraudulent activities or they just want to learn more about fraud, the ACFE provides the essential
tools and resources necessary for anti-fraud professionals to accomplish their objectives.
CERTIFIED FRAUD EXAMINERS
Certified Fraud Examiners (CFEs) are anti-fraud experts who have demonstrated knowledge
in four critical areas: Financial Transactions and Fraud Schemes, Law, Investigation, and Fraud
Prevention and Deterrence. In support of CFEs and the CFE credential, the ACFE:
• Provides bona fide qualifications for CFEs through administration of the CFE Exam
• Requires CFEs to adhere to a strict code of professional conduct and ethics
• Serves as the global representative for CFEs to business, government and academic
institutions
• Provides leadership to inspire public confidence in the integrity, objectivity and
professionalism of CFEs
For more information, visit ACFE.com.
GLOBAL HEADQUARTERS • THE GREGOR BUILDING
716 West Ave • Austin, TX 78701-2727 • USA
Phone: (800) 245-3321 / +1 (512) 478-9000
Web: ACFE.com • [email protected]

Get professional assignment help cheaply

Are you busy and do not have time to handle your assignment? Are you scared that your paper will not make the grade? Do you have responsibilities that may hinder you from turning in your assignment on time? Are you tired and can barely handle your assignment? Are your grades inconsistent?

Whichever your reason may is, it is valid! You can get professional academic help from our service at affordable rates. We have a team of professional academic writers who can handle all your assignments.

Our essay writers are graduates with diplomas, bachelor, masters, Ph.D., and doctorate degrees in various subjects. The minimum requirement to be an essay writer with our essay writing service is to have a college diploma. When assigning your order, we match the paper subject with the area of specialization of the writer.

Why choose our academic writing service?

  • Plagiarism free papers
  • Timely delivery
  • Any deadline
  • Skilled, Experienced Native English Writers
  • Subject-relevant academic writer
  • Adherence to paper instructions
  • Ability to tackle bulk assignments
  • Reasonable prices
  • 24/7 Customer Support
  • Get superb grades consistently

 

 

 

 

 

 

 

 

 

Order a unique copy of this paper
(550 words)

Approximate price: $22

Basic features
  • Free title page and bibliography
  • Unlimited revisions
  • Plagiarism-free guarantee
  • Money-back guarantee
  • 24/7 support
On-demand options
  • Writer’s samples
  • Part-by-part delivery
  • Overnight delivery
  • Copies of used sources
  • Expert Proofreading
Paper format
  • 275 words per page
  • 12 pt Arial/Times New Roman
  • Double line spacing
  • Any citation style (APA, MLA, Chicago/Turabian, Harvard)

Our guarantees

We value our customers and so we ensure that what we do is 100% original..
With us you are guaranteed of quality work done by our qualified experts.Your information and everything that you do with us is kept completely confidential.

Money-back guarantee

You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

Read more

Zero-plagiarism guarantee

The Product ordered is guaranteed to be original. Orders are checked by the most advanced anti-plagiarism software in the market to assure that the Product is 100% original. The Company has a zero tolerance policy for plagiarism.

Read more

Free-revision policy

The Free Revision policy is a courtesy service that the Company provides to help ensure Customer’s total satisfaction with the completed Order. To receive free revision the Company requires that the Customer provide the request within fourteen (14) days from the first completion date and within a period of thirty (30) days for dissertations.

Read more

Privacy policy

The Company is committed to protect the privacy of the Customer and it will never resell or share any of Customer’s personal information, including credit card data, with any third party. All the online transactions are processed through the secure and reliable online payment systems.

Read more

Fair-cooperation guarantee

By placing an order with us, you agree to the service we provide. We will endear to do all that it takes to deliver a comprehensive paper as per your requirements. We also count on your cooperation to ensure that we deliver on this mandate.

Read more

Calculate the price of your order

550 words
We'll send you the first draft for approval by September 11, 2018 at 10:52 AM
Total price:
$26
The price is based on these factors:
Academic level
Number of pages
Urgency
error: Content is protected !!
Open chat
1
You can contact our live agent via WhatsApp! Via +1 817 953 0426

Feel free to ask questions, clarifications, or discounts available when placing an order.

Order your essay today and save 30% with the discount code STARS