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Hong Kong’s Automated Future

A Robotics Process Automation Perspective

25th May 2018

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Document Classification: KPMG Confidential

What is RPA?

Definition Application

Combination of technologies such as rules engines, workflow, and screen scraping

Used in concert to automate processes and operations traditionally done by humans

It is essentially a type of digital labour and the software supplied as part of a RPA solution is known as a robot or “bot”.

Basic RPA is recommended for scenarios that:

- Seeks rapid enablement of automation for human tasks without costly system integration

- Requires repetitive, structured transactional processes

- Requires interaction with multiple applications in a “non-invasive” manner

© 2018 KPMG, a Hong Kong partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. Printed in Hong Kong.

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Document Classification: KPMG Confidential

The state of RPA Hong Kong

A survey was conducted in the fourth quarter of 2017, focusing on RPA take-up in Hong Kong

388 responses from C-level executives, as well as finance and accounting professionals.

The respondents were drawn from a diverse range of sectors: including finance and banking, professional services, manufacturing, real estate; retail, IT and telecoms

Joint KPMG & ACCA Survey on RPA Adoption in Hong Kong

5%

5%

7%

9%

7%

8%13%

18%28%

Finance and banking

Insurance

Manufacturing

Real estate Others

Government and publicadministration

IT and telecommunications

Professional services

Retail

Source: Joint KPMG and ACCA survey

Survey Background

Breakdown of Respondents by Industry

© 2018 KPMG, a Hong Kong partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. Printed in Hong Kong.

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Document Classification: KPMG Confidential

Relatively low RPA awareness & commitment in Hong Kong

Source: Joint KPMG and ACCA survey

No, I am not aware of it and my organisation isnot looking toexplore.

30%

13%20%

37% 31%43%

There is a yearly budget set aside to drive

roboticsor automationDon’tknow

7%18%

Survey findings – RPA Awareness in Hong Kong Survey Findings – RPA Commitment in Hong Kong

Yes, I am aware of it, but my organisation is not

planning to adopt it

No, I am not aware of it, but I am willing to learn more about it

I am well aware of it and myorganisation is investing or

planning to adopt it

No budgethasbeen allocated

There is somebudget for specific initiatives and solutions

© 2018 KPMG, a Hong Kong partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. Printed in Hong Kong.

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Document Classification: KPMG Confidential

Key hurdles for RPA adoption in Hong Kong

23%Perceivedbenefits do not outweigh

the costs

Others

15%18%No knowledge

of robotics solutions

* Percentages do not total 100 due to rounding**Respondents were asked to select all that apply Source: Joint KPMG and ACCA survey

Sufficient manpowerto covermanual

or routine work

14% 10%11%Interested, but do not

knowwhere or how to

start

8%

Insufficient Don’tknow governmentsupportand promotion

Companies have yet to fully understand what RPA is and what it can do

Lack of knowledge / awareness often translates into “automation anxiety”

Companies do not know where and to start, and consequently fears its impacts on the organization

Citing sufficient manpower – executives have yet to fully understand the full potential of RPA

Staff anxiety – staff might worry that their jobs will be replaced by technology solutions

Survey findings – Key hurdles for adoption Comments

© 2018 KPMG, a Hong Kong partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. Printed in Hong Kong.

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Document Classification: KPMG Confidential

RPA should not be view only as automation

Basic robotics processautomation

Rules engine

Screen scraping

Work flow

Adaptive alteratiaon

Machine Learning

Large-scale processing

Big data analytics

Natural language

processing

Artificial intelligence

Cognitive automation

Enhanced process automation/ machinelearning

• Macro-basedapplets• Screen-level data collection• Workflow automation• Vision-type building blocks• Processmapping• Business process management

• Built-in knowledge repository• Learningcapabilities• Ability to workwith

unstructured data• Pattern recognition• Reading source datamanuals• Natural languageprocessing

• Artificial intelligence• Natural language recognitionand

processing• Self-optimisation/self-learning• Digestion of super datasets• Predictive analytics/hypothesis

generation• Evidence-based learning

RPA goes beyond automation…

Processing of unstructured data and

base knowledge

© 2018 KPMG, a Hong Kong partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. Printed in Hong Kong.

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Document Classification: KPMG Confidential

It is a part of the wider digital ecosystem

© 2018 KPMG, a Hong Kong partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. Printed in Hong Kong.

Customers

DistributorsDelivery

InventoryLogistics

Analytics

Sales forecasting

Supply Chain

Suppliers

Stock management

FinanceReconciliation

Payables & receivables

Sales

Sourcing

Management Reporting

Illustration – how a digital operating model impacts the business model

Enables matching between inventory and customer demand

Eliminates over / under selling

Improves inventory cycle Eliminates under / over stocking Better route planning for logistics

Automated data transformation eliminates need for manual consolidation

Integrated data for data analysis, predictive analysis/ forecasting and reporting

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Document Classification: KPMG Confidential

Focus on your people for effective adoption

Put the employee at the centre and use technology toaugment what they do. It's not justabout automating existing, inefficient processes.

Start with the end user

Address automation anxiety in your workforce. Carefully manage redesigned roles and the change process. Culture is key to a successful transformation.

Start small

Manage expectations

Start with specific tasks or activities where automation could be implemented quickly and easily.Adapt goals as you go along. Recognisethat this is an ongoing journey, not destination.

Employees need to fully understand the shift as tasks are automatedand boundaries between roles blurred.

Redesign boundaries

Test things out in smaller areas and learn as you go. Decide early what assurances to give to employees.

Experiment

Encourage employees to develop new skill sets as job descriptions and career expectationschange.

Cultivate a learning culture

Workforce shapingDigital organisations must plan for multiple scenarios and shape their workforce accordingly. Traditional workforce planning must become more adaptive and continuous.

It is essential for a person, team or function to take ownership of the changeprocess.

Lead the change

CommunicateEnsure all digital discussions with the workforce and other stakeholders are framed in a consistent and clear manner.

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© 2018 KPMG, a Hong Kong partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. Printed in Hong Kong.

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Document Classification: KPMG Confidential

Key takeaways

The development and application of robotics automation in Hong Kong is still at a very early stage.

There is a general lack of awareness of what existing technologies can offer in terms of cost savings, improved efficiencies, and better resource allocation.

It is only a matter of time before the majority of the corporate sector starts incorporating automation solutions into their finance functions

And when they do, all businesses are not immune to this phenomenon; and will have to digitize to enable greater connection in the business world.

Your people are the forefront of your digital journey A long-term training programme will be required to ensure companies have a constant

pool of talent with the necessary digital capabilities

© 2018 KPMG, a Hong Kong partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. Printed in Hong Kong.

Thank you!Irene ChuPartner, Head of New Economy & Life Sciences, Hong Kong

E:irene.chu@kpmg.com T: +852 2978 8151

Document Classification: KPMG Confidential

© 2018 KPMG, a Hong Kong partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. Printed in Hong Kong.

The KPMG name, logo are registered trademarks or trademarks of KPMG International.

This proposal is in all respects subject to the negotiation, agreement and signing of a specific engagement letter or contract and subject to the completion of customary client acceptance procedures. KPMG International provides no client services. No member firm has any authority to obligate or bind KPMG International or any other member firm vis-à-vis third parties, nor does KPMG International have any such authority to obligate or bind any member firm.

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.

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