Using Alteryx for audits

1. DataAnalytics
Alteryx Spotlight
March 2021

2. 2
Document Classification: KPMG Confidential
© 2020 KPMG LLP, a UK limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with KPMGInternational Cooperative (“KPMG International”), a Swissentity. All rights reserved.
2
Document Classification: KPMG Confidential
© 2022 KPMG LLP, a UK limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with KPMGInternational Cooperative (“KPMG International”), a Swissentity. All rights reserved.
Leveragingdataanalytics
Key Areas that Analytics & Automation can support are
as below (tests on certain areas are detailed in next
slides):
 Claims:- Near real-time claims analysis provides
ability to track progress of data entry as well as
utilisation against dimensions such as Branch, region
& risk factors
 Operational Delivery :- Identifying anomalies and
remediation type of analytics
 MI/Data: Descriptive type of analytics such as
accuracy, completeness and review of reports
 Fraud: Identifying irregularities, patterns, and trends
more of investigative analytics
 Underwriting:- Determination of cost elements
associated with underwriting and ensuring these are
factored in when generating risk scores or price
determination
 Marketing:- Assessment of vulnerable clients, KYC
initiatives
 Demand & Recoveries: Claims recalculations and
assessment of for recovery timelines
 Data Quality: Validation of the quality of data from
accuracy and completeness perspective.
 Data Visualisation: Dashboarding of various
observations, anomalies, trends and patterns.
Advanced
monitoring
capabilities
Quality
approach to
manage
controls and
data validation
End-to-end
testing of
processes
Lower cost
due to
automation
of processes
Earlier
identification
of anomalies
and patterns of
high risk
Issues and
findings
through
dynamic
dashboards
Full
population
testing
Data Analytics techniques, including macro analytics (trends, profiles, statistics), process mining (design versus reality) and micro analytics
(deep dives and visual outliers) can be leveraged across all applicableareas within the organisation. Analytics process allows 100% testing
of data, rapid deployment of test and reusability of the scripts and codes which can be used for reperformance when required.
So what does this mean?
 100% data tested
 All possible processes
considered
 Rapid deployment and
learning with
reproducibility
 Oversight of all
pathways in the specific
audit process and
deviations and therefore
highlighting possible
risks in lending
 Continuous monitoring
possible
 Dashboards included
with MI, alerts and
triggers for timely
decision making

3. 3
Document Classification: KPMG Confidential
© 2020 KPMG LLP, a UK limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with KPMGInternational Cooperative (“KPMG International”), a Swissentity. All rights reserved.
3
Document Classification: KPMG Confidential
© 2022 KPMG LLP, a UK limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with KPMGInternational Cooperative (“KPMG International”), a Swissentity. All rights reserved.
Automated
Reporting
Continuous
Monitoring
Alteryx is an intuitive, drag & drop data processingand application development platform, enabling
analysts to build robust, repeatable and scalable data processes, reporting routines and analytical
applications, making use of all relevant data sources.
Alteryxspotlight:whatisit?

4. Document Classification: KPMG Confidential
© 2022 KPMG International Cooperative (“KPMG International”). KPMG International provides no client services and is a Swiss entity with which the independent member firms of the KPMG network are affiliated.
All rights reserved.
4
Alteryxspotlight:whatareitsstrengths?
 Very fast time to value, due to a single
process for analysis versus multiple
processes and tools
 Ease of use (drag and drop workflow, easy
to iterate and modify without complex
coding, fast in-memory processing, etc.)
 Integrates with JDBC, SQL, Tableau,
Power BI, Qlik, …
 Reusability and sharing of data
workflow modules and applications
(Gallery)
 Makes powerful data blending, predictive
analytics and spatial analysis accessible
to non technical users

5. Document Classification: KPMG Confidential
© 2022 KPMG International Cooperative (“KPMG International”). KPMG International provides no client services and is a Swiss entity with which the independent member firms of the KPMG network are affiliated.
All rights reserved.
5
HowyoucanuseAlteryxtoachievedataanalyticstesting
Broadly, Alteryx can be applied towardsachievement
of the following objectives:
a) Accuracy – checking totals and calculations from the
general ledger or related databases
b) Analytical Review– performing data comparisons,
creating a profile based on specific business
performance indicators and reporting the same using
visual analytics tools
c) Validity – Identifying duplicates and checking
transaction data for exceptions
d) Completeness– Reviewing gaps and identifying data
that matches set criteria
e) Continuous TransactionMonitoring– By
developing scheduled workflows, Alteryxcan be useful
in monitoring of specified transaction limits and
triggers and emailing the same to management,
Claim Payments
Executive Summary
Accounts Payable
Analytics
Customer Experience
Payroll
Reinsurance
Debt Recovery
Other areas i.e. App development, Reporting and
Scheduled Workflows

6. Document Classification: KPMG Confidential
© 2022 KPMG International Cooperative (“KPMG International”). KPMG International provides no client services and is a Swiss entity with which the independent member firms of the KPMG network are affiliated.
All rights reserved.
6
HowyoucanuseAlteryxtoachievedataanalyticstesting
Broadly, Alteryx can be applied towardsachievement
of the following objectives:
a) Accuracy – checking totals and calculations from the
general ledger or related databases
b) Analytical Review– performing data comparisons,
creating a profile based on specific business
performance indicators and reporting the same using
visual analytics tools
c) Validity – Identifying duplicates and checking
transaction data for exceptions
d) Completeness– Reviewing gaps and identifying data
that matches set criteria
e) Continuous TransactionMonitoring– By
developing scheduled workflows, Alteryxcan be useful
in monitoring of specified transaction limits and
triggers and emailing the same to management,
Claim Payments
Executive Summary
Accounts Payable
Analytics
Customer Experience
Payroll
Reinsurance
Debt Recovery
Claims is a significant source of operational expense and
indemnity spend. Cost containment is a
major challenge in the insurance sector, and insurers are
looking for ways to reduce cost and control fraud
expenses.
Alteryx can be used to perform tests including:
a) Identify claims made or paid before policy effective
date
b) Identify claims made or paid before the maturity or
loss date
c) Using data analytics test that once authorised
payments are posted within set working days
d) Matching claims paid to policies in policy register
e) Testing for duplicate payments
f) Using data analytics to test whether there is adequate
segregation of duties built into he claims payment
system based on the defined authority level matrix
g) Using data analytics, test that all payments released
were appropriatelyapproved as per set requirements
Other areas i.e. App development, Reporting and
Scheduled Workflows

7. Document Classification: KPMG Confidential
© 2022 KPMG International Cooperative (“KPMG International”). KPMG International provides no client services and is a Swiss entity with which the independent member firms of the KPMG network are affiliated.
All rights reserved.
7
HowyoucanuseAlteryxtoachievedataanalyticstesting
Broadly, Alteryx can be applied towardsachievement
of the following objectives:
a) Accuracy – checking totals and calculations from the
general ledger or related databases
b) Analytical Review– performing data comparisons,
creating a profile based on specific business
performance indicators and reporting the same using
visual analytics tools
c) Validity – Identifying duplicates and checking
transaction data for exceptions
d) Completeness– Reviewing gaps and identifying data
that matches set criteria
e) Continuous TransactionMonitoring– By
developing scheduled workflows, Alteryxcan be useful
in monitoring of specified transaction limits and
triggers and emailing the same to management,
Claim Payments
Executive Summary
Accounts Payable
Analytics
Debt Recovery
Payroll
Resinsurance
Debt Recovery
Many tests in AP will relate to supplier master file details.
This often resides on a different file to the detailed ledger
items. Alteryx can be used to perform tests including:
a) Summarize invoices by supplier to prove individual
balances
b) Isolate vendor unit price variances by product
c) Identify debit balances
d) Identifying unusual standing data
e) Test for items with dates or references out of range
(cut-off)
f) Test for duplicate payments/invoices
g) Test for duplicate bank account details
h) Test for duplicate purchase order numbers
Other areas i.e. App development, Reporting and
Scheduled Workflows
Understandingand proper management of customer
experience is key to business and brand development.
Continuous monitoring of customer attraction, experience
engagement and retention can be visualized to support
continuous improvement.
Alteryx can be used to perform testing that includes;
a) Customer service tests around calculating customer
satisfaction scores (CSAT), net promoter score (NPS)
and costs to serve
b) Analysis on customer life value (CLV), churn rate and
conversion rates
c) Claims, Underwriting and complaints TAT
d) Analysis on resolved issues and overall satisfaction
Customer Experience

8. Document Classification: KPMG Confidential
© 2022 KPMG International Cooperative (“KPMG International”). KPMG International provides no client services and is a Swiss entity with which the independent member firms of the KPMG network are affiliated.
All rights reserved.
8
HowyoucanuseAlteryxtoachievedataanalyticstesting
Broadly, Alteryx can be applied towardsachievement
of the following objectives:
a) Accuracy – checking totals and calculations from the
general ledger or related databases
b) Analytical Review– performing data comparisons,
creating a profile based on specific business
performance indicators and reporting the same using
visual analytics tools
c) Validity – Identifying duplicates and checking
transaction data for exceptions
d) Completeness– Reviewing gaps and identifying data
that matches set criteria
e) Continuous TransactionMonitoring– By
developing scheduled workflows, Alteryxcan be useful
in monitoring of specified transaction limits and
triggers and emailing the same to management,
Claim Payments
Executive Summary
Accounts Payable
Analytics
Debt Recovery
Payroll
Reinsurance
Debt Recovery
Many tests in AP will relate to supplier master file details.
This often resides on a different file to the detailed ledger
items. Alteryx can be used to perform tests including:
a) Summarize invoices by supplier to prove individual
balances
b) Isolate vendor unit price variances by product
c) Identify debit balances
d) Identifying unusual standing data
e) Test for items with dates or references out of range
(cut-off)
f) Test for duplicate payments/invoices
g) Test for duplicate bank account details
h) Test for duplicate purchase order numbers
Other areas i.e. App development, Reporting and
Scheduled Workflows
Tests on debt recovery data are to establish existence,
completeness and valuation. Items of particular concern
are old unpaid balances, unmatched cash and large
balances, particularly where customers are in difficulty. .
Alteryx can be used to perform testing that includes;
a) Profile accounts using stratification to identify large
accounts and the proportion of value in the larger
items.
b) Generate summaries by customer, invoice, amounts,
products, etc. Profile customers’to improve
profitability
c) Perform impairment provision analysis and trends
d) Identify large balances either in their own right or
compared to turnover
e) Select accounts for which no movements have been
recorded in a set time
f) Report credit and debit balances
Customer Experience
Many tests in AP will relate to supplier master file details.
This often resides on a different file to the detailed ledger
items.
Alteryx can be used to perform tests including:
a) Summarize invoices by supplier to prove individual
balances
b) Isolate vendor unit price variances by product
c) Identify debit balances
d) Identifying unusual standing data
e) Test for items with dates or references out of range
(cut-off)
f) Test for duplicate payments/invoices
g) Test for duplicate bank account details
h) Test for duplicate purchase order numbers
Accounts Payable

9. Document Classification: KPMG Confidential
© 2022 KPMG International Cooperative (“KPMG International”). KPMG International provides no client services and is a Swiss entity with which the independent member firms of the KPMG network are affiliated.
All rights reserved.
9
HowyoucanuseAlteryxtoachievedataanalyticstesting
Broadly, Alteryx can be applied towardsachievement
of the following objectives:
a) Accuracy – checking totals and calculations from the
general ledger or related databases
b) Analytical Review– performing data comparisons,
creating a profile based on specific business
performance indicators and reporting the same using
visual analytics tools
c) Validity – Identifying duplicates and checking
transaction data for exceptions
d) Completeness– Reviewing gaps and identifying data
that matches set criteria
e) Continuous TransactionMonitoring– By
developing scheduled workflows, Alteryxcan be useful
in monitoring of specified transaction limits and
triggers and emailing the same to management,
Claim Payments
Executive Summary
Accounts Payable
Analytics
Debt Recovery
Payroll
Reinsurance
Debt Recovery
Many tests in AP will relate to supplier master file details.
This often resides on a different file to the detailed ledger
items. Alteryx can be used to perform tests including:
a) Summarize invoices by supplier to prove individual
balances
b) Isolate vendor unit price variances by product
c) Identify debit balances
d) Identifying unusual standing data
e) Test for items with dates or references out of range
(cut-off)
f) Test for duplicate payments/invoices
g) Test for duplicate bank account details
h) Test for duplicate purchase order numbers
Other areas i.e. App development, Reporting and
Scheduled Workflows
Tests on debt recovery data are to establish existence,
completeness and valuation. Items of particular concern
are old unpaid balances, unmatched cash and large
balances, particularly where customers are in difficulty. .
Alteryx can be used to perform testing that includes;
a) Profile accounts using stratification to identify large
accounts and the proportion of value in the larger
items.
b) Generate summaries by customer, invoice, amounts,
products, etc. Profile customers’to improve
profitability
c) Perform impairment provision analysis and trends
d) Identify large balances either in their own right or
compared to turnover
e) Select accounts for which no movements have been
recorded in a set time
f) Report credit and debit balances
Customer Experience
Many tests in AP will relate to supplier master file details.
This often resides on a different file to the detailed ledger
items. Alteryx can be used to perform tests including:
a) Summarize invoices by supplier to prove individual
balances
b) Isolate vendor unit price variances by product
c) Identify debit balances
d) Identifying unusual standing data
e) Test for items with dates or references out of range
(cut-off)
f) Test for duplicate payments/invoices
g) Test for duplicate bank account details
h) Test for duplicate purchase order numbers
There are many regulations and taxes associated with
payroll and compliance with these can be checked. Privacy
concerns may limit certain tests. Alteryx can be used to
perform tests within the organisation that include:
a) Re-calculation checks around total gross pay, net pay,
deductions and other value fields
b) Exception tests where gross amount exceeds the set
amount
c) Duplicate tests on bank account details, names, date of
birth and employee details such as addresses, national
insurance numbers etc. on payroll file
d) Matching and comparison tests at a point in time to
identify changes in expected trends on pay and benefits
e) Reasonableness tests of tax rates, overtime claimed,
date of birth (under 16 and over 65), pay/grade
comparison
f) Profiling analysis on employees ages, race, years of
service to assist with forward planning
g) Comparison of records within payroll and master to
determine if there are “ghost” employees on payroll
Payroll

10. Document Classification: KPMG Confidential
© 2022 KPMG International Cooperative (“KPMG International”). KPMG International provides no client services and is a Swiss entity with which the independent member firms of the KPMG network are affiliated.
All rights reserved.
10
HowyoucanuseAlteryxtoachievedataanalyticstesting
Broadly, Alteryx can be applied towardsachievement
of the following objectives:
a) Accuracy – checking totals and calculations from the
general ledger or related databases
b) Analytical Review– performing data comparisons,
creating a profile based on specific business
performance indicators and reporting the same using
visual analytics tools
c) Validity – Identifying duplicates and checking
transaction data for exceptions
d) Completeness– Reviewing gaps and identifying data
that matches set criteria
e) Continuous TransactionMonitoring– By
developing scheduled workflows, Alteryxcan be useful
in monitoring of specified transaction limits and
triggers and emailing the same to management,
Claim Payments
Executive Summary
Accounts Payable
Analytics
Debt Recovery
Payroll
Underwriting
Debt Recovery
Many tests in AP will relate to supplier master file details.
This often resides on a different file to the detailed ledger
items. Alteryx can be used to perform tests including:
a) Summarize invoices by supplier to prove individual
balances
b) Isolate vendor unit price variances by product
c) Identify debit balances
d) Identifying unusual standing data
e) Test for items with dates or references out of range
(cut-off)
f) Test for duplicate payments/invoices
g) Test for duplicate bank account details
h) Test for duplicate purchase order numbers
Other areas i.e. App development, Reporting and
Scheduled Workflows
Tests on debt recovery data are to establish existence,
completeness and valuation. Items of particular concern
are old unpaid balances, unmatched cash and large
balances, particularly where customers are in difficulty. .
Alteryx can be used to perform testing that includes;
a) Profile accounts using stratification to identify large
accounts and the proportion of value in the larger
items.
b) Generate summaries by customer, invoice, amounts,
products, etc. Profile customers’to improve
profitability
c) Perform impairment provision analysis and trends
d) Identify large balances either in their own right or
compared to turnover
e) Select accounts for which no movements have been
recorded in a set time
f) Report credit and debit balances
Customer Experience
Many tests in AP will relate to supplier master file details.
This often resides on a different file to the detailed ledger
items. Alteryx can be used to perform tests including:
a) Summarize invoices by supplier to prove individual
balances
b) Isolate vendor unit price variances by product
c) Identify debit balances
d) Identifying unusual standing data
e) Test for items with dates or references out of range
(cut-off)
f) Test for duplicate payments/invoices
g) Test for duplicate bank account details
h) Test for duplicate purchase order numbers
Insurance firms can ensure optimal benefit from the
reinsurance options it has taken up as well as actively
monitor alternate options available in the market.
Alteryx can be used to perform tests that include:
a) Claims pending per reinsurer
b) Claims paid per reinsurer to identify trends
c) Claims, policies and renewals analysis
d) Loss ratio calculation that can feed into the plotting of
season trends across different periods
e) High value claim payments
f) Claims lodged per reinsurer
Reinsurance

11. Document Classification: KPMG Confidential
© 2022 KPMG International Cooperative (“KPMG International”). KPMG International provides no client services and is a Swiss entity with which the independent member firms of the KPMG network are affiliated.
All rights reserved.
11
HowyoucanuseAlteryxtoachievedataanalyticstesting
Broadly, Alteryx can be applied towardsachievement
of the following objectives:
a) Accuracy – checking totals and calculations from the
general ledger or related databases
b) Analytical Review– performing data comparisons,
creating a profile based on specific business
performance indicators and reporting the same using
visual analytics tools
c) Validity – Identifying duplicates and checking
transaction data for exceptions
d) Completeness– Reviewing gaps and identifying data
that matches set criteria
e) Continuous TransactionMonitoring– By
developing scheduled workflows, Alteryxcan be useful
in monitoring of specified transaction limits and
triggers and emailing the same to management,
Claim Payments
Executive Summary
Accounts Payable
Analytics
Debt Recovery
Payroll
Reinsurance
Employee expenses
Many tests in AP will relate to supplier master file details.
This often resides on a different file to the detailed ledger
items. Alteryx can be used to perform tests including:
a) Summarize invoices by supplier to prove individual
balances
b) Isolate vendor unit price variances by product
c) Identify debit balances
d) Identifying unusual standing data
e) Test for items with dates or references out of range
(cut-off)
f) Test for duplicate payments/invoices
g) Test for duplicate bank account details
h) Test for duplicate purchase order numbers
Other areas i.e. App development, Reporting and
Scheduled Workflows
Tests on debt recovery data are to establish existence,
completeness and valuation. Items of particular concern
are old unpaid balances, unmatched cash and large
balances, particularly where customers are in difficulty. .
Alteryx can be used to perform testing that includes;
a) Profile accounts using stratification to identify large
accounts and the proportion of value in the larger
items.
b) Generate summaries by customer, invoice, amounts,
products, etc. Profile customers’to improve
profitability
c) Perform impairment provision analysis and trends
d) Identify large balances either in their own right or
compared to turnover
e) Select accounts for which no movements have been
recorded in a set time
f) Report credit and debit balances
Customer Experience
Many tests in AP will relate to supplier master file details.
This often resides on a different file to the detailed ledger
items. Alteryx can be used to perform tests including:
a) Summarize invoices by supplier to prove individual
balances
b) Isolate vendor unit price variances by product
c) Identify debit balances
d) Identifying unusual standing data
e) Test for items with dates or references out of range
(cut-off)
f) Test for duplicate payments/invoices
g) Test for duplicate bank account details
h) Test for duplicate purchase order numbers
Tests on debt recovery data are to establish existence,
completeness and valuation. Items of particular concern are
old unpaid balances, unmatched cash and large balances,
particularly where customers are in difficulty.
Alteryx can be used to perform testing that includes;
a) Profile accounts using stratification to identify large
accounts and the proportion of value in the larger items.
b) Generate summaries by customer, invoice, amounts,
products, etc. Profile customers’to improve profitability
c) Perform impairment provision analysis and trends
d) Identify large balances either in their own right or
compared to turnover
e) Select accounts for which no movements have been
recorded in a set time
f) Report credit and debit balances
Debt Recovery

12. Document Classification: KPMG Confidential
© 2022 KPMG International Cooperative (“KPMG International”). KPMG International provides no client services and is a Swiss entity with which the independent member firms of the KPMG network are affiliated.
All rights reserved.
12
HowyoucanuseAlteryxtoachievedataanalyticstesting
Broadly, Alteryx can be applied towardsachievement
of the following objectives:
a) Accuracy – checking totals and calculations from the
general ledger or related databases
b) Analytical Review– performing data comparisons,
creating a profile based on specific business
performance indicators and reporting the same using
visual analytics tools
c) Validity – Identifying duplicates and checking
transaction data for exceptions
d) Completeness– Reviewing gaps and identifying data
that matches set criteria
e) Continuous TransactionMonitoring– By
developing scheduled workflows, Alteryxcan be useful
in monitoring of specified transaction limits and
triggers and emailing the same to management,
Claim Payments
Executive Summary
Accounts Payable
Analytics
Debt Recovery
Payroll
Reinsurance
Debt Recovery
Many tests in AP will relate to supplier master file details.
This often resides on a different file to the detailed ledger
items. Alteryx can be used to perform tests including:
a) Summarize invoices by supplier to prove individual
balances
b) Isolate vendor unit price variances by product
c) Identify debit balances
d) Identifying unusual standing data
e) Test for items with dates or references out of range
(cut-off)
f) Test for duplicate payments/invoices
g) Test for duplicate bank account details
h) Test for duplicate purchase order numbers
Other areas i.e. App development, Reporting and
Scheduled Workflows
Tests on debt recovery data are to establish existence,
completeness and valuation. Items of particular concern
are old unpaid balances, unmatched cash and large
balances, particularly where customers are in difficulty. .
Alteryx can be used to perform testing that includes;
a) Profile accounts using stratification to identify large
accounts and the proportion of value in the larger
items.
b) Generate summaries by customer, invoice, amounts,
products, etc. Profile customers’to improve
profitability
c) Perform impairment provision analysis and trends
d) Identify large balances either in their own right or
compared to turnover
e) Select accounts for which no movements have been
recorded in a set time
f) Report credit and debit balances
Customer Experience
Many tests in AP will relate to supplier master file details.
This often resides on a different file to the detailed ledger
items. Alteryx can be used to perform tests including:
a) Summarize invoices by supplier to prove individual
balances
b) Isolate vendor unit price variances by product
c) Identify debit balances
d) Identifying unusual standing data
e) Test for items with dates or references out of range
(cut-off)
f) Test for duplicate payments/invoices
g) Test for duplicate bank account details
h) Test for duplicate purchase order numbers
Using all relevantdata sources, Alteryx enables
analysts to build robust, repeatable and scalable data
processes, reportingroutines and analytical
applications.
App development – Alteryx can be used to design
workflows to automate a process for example interest
recalculation of loans. Once parameters are set as per
criteria, this can be packaged as a solution/ application to
run in a plug and play fashion
Reporting– Alteryx has advanced tools that enable
analysis outputs to be shared across teams through emails,
PDF, charts or linking to a visualization tool such as tableau
Scheduled Workflows and Emails – Workflows can be
scheduled so as to run based on business criteria at set
times, once an Alteryx workflow runs, its output can be
shared on email. This is useful for continuous monitoring as
human intervention is limited.
Other areas i.e. App development, Reporting and
Scheduled Workflows

13. Document Classification: KPMG Confidential
© 2022 KPMG International Cooperative (“KPMG International”). KPMG International provides no client services and is a Swiss entity with which the independent member firms of the KPMG network are affiliated.
All rights reserved.
13
Benefitsofthetoolovermanualprocessing
— Data cleansing & matching done in excel.
— Running tests manually in excel using filters.
— No set method to perform tasks.
Risks & Issues
— No Audit Trail.
— Slow data processing.
— Conflicting methods use to produce results by different
members of the team.
— No record of cleansing processes.
— Difficulty in reproducing results.
BEFORE
— Data cleansing done through a defined process.
— Extraction done directly from source.
— Automated process which picks up the most recent source
data files and produce results and summary resultsin a
standard template format.
Benefits & Impact to the Project
— Reduced risk of data corruption.
— Ease of interpretation.
— Source and target data compatibility.
— Data validation
— Reverse engineering: Using keywords and values from a
report, you have a starting point from which you can begin to
explore the underlying data and test its relationships.
— Gives option for full auditability of historical data. i.e.
identifying when cases had been voided.
— Ease of adding in new tests.
— Up to 80% reduction in time required to complete tasks.
AFTER

14. Document Classification: KPMG Confidential
© 2022 KPMG International Cooperative (“KPMG International”). KPMG International provides no client services and is a Swiss entity with which the independent member firms of the KPMG network are affiliated.
All rights reserved.
14
14
Document Classification: KPMG Confidential
© 2022 KPMG International Cooperative (“KPMG International”). KPMG International provides no client services and is a Swiss entity with which the independent member firms of the KPMG network are affiliated.
All rights reserved.
14
Thanks

15. Document Classification: KPMG Confidential
The information contained herein is of a general nature and is not intended to address the circumstances of any particular
individual or entity. Although we endeavor to provide accurate and timely information, there can be no guarantee that such
information is accurate as of the date it is received or that it will continue to be accurate in the future. No one should act on
such information without appropriate professional advice after a thorough examination of the particular situation.
© 2022 KPMG International Cooperative (“KPMG International”), a Swiss entity. Member firms of the KPMG network of
independent firms are affiliated with KPMG International. KPMG International provides no client services. No member firm has
any authority to obligate or bind KPMG International or any other member firm third parties, nor does KPMG International have
any such authority to obligate or bind any member firm. All rights reserved.
The KPMG name and logo are registered trademarksor trademarks of KPMG International. | Create CRT112363G
kpmg.com/connected