With workflows becoming increasingly complicated, the current process-centric approach is becoming more expensive to run – either through cost of automation or through the cost of people doing the work. With increasing focus on data in organisations we believe that data-driven organisations must also think differently when it comes to the role of data in their automation activities. Companies can continue to devise more complex and costly work-arounds to make a process-centric approach work in a data-centric world, or they can use an automation approach that is inherently data-centric to drive the next phase of Hyperautomation.

1. How To Move Towards Data-Centric Automation
SEP 2020

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Speakers
Simen Munter, former Chief Operating Officer of Personal Banking at the Nordics leading
retail bank, Nordea and formerly head of offshore delivery centers at ANZ Bank, has joined
the Mindfields Advisory Board. Munter was one of the early adopters of RPA in an enterprise
setting and has been working with automation at scale for many years. This has given unique
insights into opportunities and challenges of running large scale automation initiatives, using
RPA as well as more traditional automation approaches.
Mohit is the founder of Mindfields, which is one of the first advisory firms to offer RPA services
to leading global financial and non-financial organisations in the US, Australia, UK, and India on
their journey for Automation and Artificial Intelligence. Before starting Mindfields in 2006, he
spent over 10 years working in Strategy, Corporate Finance, and Risk Management Solutions
for Deloitte, PwC, and EY in Australia. In 2014, he authored and published a most
comprehensive research report on Robotics and Process Automation. Mohit loves family,
cricket and food, in that order.
Simen Munter,
Customer Advisory Board
Member, Mindfields
(Previously with Nordea, ANZ
and HSBC)
Mohit Sharma
Founder and Executive
Chairman
Mindfields

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About Mindfields
Mindfields is a Robotics Process Automation (RPA) and Artificial Intelligence (AI) advisory firm with offices in Sydney, Melbourne, Perth, India and New York City. Founded
in 2006, we are the first movers in the RPA space in Australia.
We are a vendor agnostic firm and are able to help select and work on the appropriate tool that best suits our clients’ requirements. Our resources are cross trained and
certified in the major RPA tools. Our vision is to ‘Grow for Tomorrow’ and we firmly believe that our growth is underpinned by our ability to realise positive outcomes for our
clients.
We have been rated highly by both the Australian and global media. The Australian Financial Review has frequently recognised us as a thought leader in the RPA space.
Leading research firm HfS Research, based in Cambridge, Massachusetts, has quoted Mindfields as a leading pure play RPA advisory firm globally. We have been
ranked by Deloitte amongst the top 20 fastest growing Australian firms in the 2017 Asia Pacific Technology Fast 500TM. IDC has quoted us as one of the implementation
partners to most of the automation tools. World renowned research firm Gartner Research has also quoted Mindfields in its comprehensive ‘Market guide for Robotic
Process Automation’ report.
 Gartner’s latest research report titled ‘Competitive Landscape: Consulting and System Integration Providers for Robotic Process Automation – August 2018’ profiles
Mindfields among the leading global Robotic Process Automation consulting and service providers.
 HFS’ latest ranking on the Top 10 RPA Service Providers, has positioned Mindfields #2 on the Voice of Customer segment.

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Our product and services portfolio
Mindfields’ Automation Advisory practice focuses on providing critical insights and approach methodologies for both enterprise buyers and service providers in the
Business Process and Robotic Process Automation (RPA) technologies.
Research Professional Services
Products
Emerging Technologies
Robotic Process Automation Report
Artificial Intelligence Report
Artificial Intelligence in Healthcare
Report
Process Consulting & Strategy
Includes process identification, automation
roadmap, business analysis and process
enhancements
MindUni
Our proprietary RPA and IA education
program, suitable for both students and
corporate professionals
RPA and IA Implementation
Mindfields adopts a standardised and industrialised approach to implement RPA and IA solutions. The methodology followed includes the end to
end lifecycle from requirements gathering until Go-Live
CoE.exe
Define and implement the framework, tools,
templates to stand up an accelerated
Automation CoE
CFO.exe
Assess the maturity of your finance
function and tap into our extensive and
growing library of digital solutions
MindHire
Services to hire resources in alignment with
business needs
Program Management
Program management services to enable
scaled automation programs supported by
MindEzy
Data Wrangling
Automating data-based processes to
enable self-service business analytics
Data Visualisation
Translating data into a visual format for businesses
to further understand the processes, perform
scenario-based and forecasting models
MindEzy
Mindfields’ cloud-based platform for managing your entire automation journey from ideation to production by leveraging our
proprietary methodology with generation of business cases and real-time tracking of value realisation.
MindSupport
MindSupport is Mindfields’ cloud-based
helpdesk platform encompassing a wide
range of customisable support services
Testing Services
Leveraging our technical expertise to assist
clients with testing automated solutions
Migration and Architecture
Advisory

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5
h
Agenda
6 minsAutomation Landscape
Content Duration
10 minsCurrent & Future State of Automation
5 minsExample of Data Centric Automation
4 minsPoll
10 minsComparison
15 minsFramework
10 minsQ&A

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Automation Landscape1
6

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Automation Landscape – From RPA to Hyperautomation- Simple to Complex
7
Artificial
Intelligence
Natural Language
Processing/
Understanding
Machine
Learning
Big Data
Analytics
Robotic Process Automation Intelligent Automation Artificial Intelligence
Workflow
Screen scrapingRules based
Leverage Natural Language
Processing (NLP) capabilities to
structure & enhance unstructured data
Neural networks /
decision making
Leverage one or more AI tools to
automate judgement-based tasks /
processes
Automate voluminous, repetitive,
rules-based processes involving
structured data inputs
• Judgement based O
• Unstructured data O
• Have touchpoints across the
technology stack
O
• Judgement based O
• Unstructured data P
• Have touchpoints across
the technology stack
O
• Judgement based P
• Unstructured data P
• Have touchpoints across the
technology stack
P
The automation spectrum is wide and ever expanding. A simplistic view is provided here:

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Reporting & complianceTransaction processing
Workforce
Transformation
– Move up the
value chain
Future State
Current
State
“Data-Driven Intelligent
Enterprise”
Optimised
State
The “Trusted Digital Workforce Foundation”
Operating Model | Governance, Risk, Control | Operational Excellence | Change Management
Insight & action
RPA
+
Intelligent
Automation
+
BPR/BPM
Artificial
Intelligence
technologies
Progress towards a “Data Driven Intelligent Enterprise”
1. Adopt Mindfields Data-Centric framework to create capacity and optimise current state
2. Invest in select long term AI enabled solutions to help create the “Data Driven Intelligent Enterprise”

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1. Have you achieved a positive monetary return on investment from Activity-Centric Automation?
a) Yes
b) No
c) Partial
Poll

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Current & Future State of Automation2
10

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Current State of Automation
This is the rigid approach that is present in the services industry
- Causes overlap of process
- Process variation is very high
- No clear view of data (e.g. customer, request) across steps,
resulting in waste of data flows
- Benefits include straightforward automation of repetitive tasks,
resulting in some efficiency & cost savings
- However the challenges associated with ACA limit its potential
Challenges of Activity-Centric Automation
11
Multiple variations of the same activites
Scaling challenges
Data fragmentation & unclear responsibilities of
data quality
Inability to create reusable “Building blocks”/
functions
Possibility of bottlenecks – only as fast as the
slowest link
Activities / Tasks Control FlowLegend Data Entity (Flows)
Activity-Centric Automation (ACA)

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Future of Automation
- To succeed, companies require 2 components:
o Reliable Data
o Expertly Crafted Models
- Institutions are too focused on automating around activities, this
leads to too many data points
- By focusing on the right data points we can power any automation
o Start with: What data is required?
o This approach results in great efficiencies by reducing data
fragmentation
- This self learning approach to automation is capable of improving
customer service, transforming your business and creating
immense cost savings, reducing technology costs as well as
increasing efficiency
Benefits of Data-Centric Automation
Scaling to large volumes is carried out in parallel
to activity
Increase Efficiency
Cost Savings
Modularize, re-use, modify and verify changes to
processes
Clear view of data across steps
12
Lifecycle
Event
What is Data-Centric Automation (DCA)

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Do you often reuse data within or across a process?
a) Yes
b) No
c) Partial
Poll

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Example4
14

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15
Example of Data Centric Automation- One Credit “Pitstop”
Intelligent Capture across all products
and processes covered requiring Credit
Decisioning not currently STPed
Enrichment by common capabilities - undertaken through a
combination of people, APIs and Machine Learning
"self emerging STP" over time through "human in the loop"
machine learning.
Strong QA and fully automated execution by
process on existing infrastructure using RPA,
Interfaces or APIs
e.g. Analysis
Country
Channel
Divisional
Electronic
MultipleInputs Execute AutomaticallyOne Credit "Pit Stop"
Interfaces
Robotics
Capture ExecuteEnrich
e.g. Decisioning e.g. Limit mgmt
e.g. external sources
(e.g. BCG model)
e.g. documentation e.g. drawdown
Makeit Digital CreateDataSets for automation Deploy datasets

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What type of tool kits do you utilise within your automation department?
a) RPA tools
b) Python, Tableau, R
c) Both a & b
Poll

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Comparison: ACA/ DCA5
17

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Comparison of ACA vs DCA
# Particulars / Competitors
Activity-Centric
Automation
Data-Centric Automation
1. Focus Activites Data
2. Vendors UiPath/ Automation Anywhere APIs, Python, HADOOP
3. Automation level Screen Based API Data based
4. Integration Smart Pipelines Smart endpoints (node based)
5. Architecture Application level Data level
6. Outcome Finishing of Activity Create Dataset/ Data Structure
7. Robot Mimic Human interactions Create data to be fed to Robots
8. Learning Low High
9. Reusability Scripts/ Steps Data sets
10. Example
Onboarding of Customer in a bank
for opening bank account
Same data for an individual at a
bank:
1. Onboarding as employee
2. Onboarding for Home Loan
3. Onboarding for Bank Guarantee
18

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Data-Centric Automation Framework6
19

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Data-Centric Automation Framework

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Do you think your organisation is ready for Data Centric Automation?
a) Yes - immediately
b) Yes- in 6 months
c) No
Poll

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1.Workshop to
further educate
CXO’s on
Data-Centric
Automation
1.Assessment &
Diagnosis: Current &
Future state of
Automation at your
organization
1.Design a Custom
Roadmap for your Data-
Centric Automation
journey
1.Monitor,
Support &
Maintenance
Next steps
For more information, please contact:
info@mindfieldsglobal

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Value Creation
Our Value Our Vision Lets Do This
Together
Using modern digital technologies
we aim to get more than straight
through processing.
Our focus is on how to connect
every enterprise component to
each interaction.
Our vision is that in a digitised
enterprise we must bring all the
enterprise expertise to every
interaction and we enable
deployment of both in-house as
well as external analytical or
cognitive engines to each
interaction in real time.
Our aim is to use all insights to
orchestrate additional process
in real time.
This could for instance be to
assess what each interaction
means in terms of sales
opportunities, risk impact, fraud
management etc.
This is cutting edge
operational design thinking –
but the underlying technical
concepts are tried and tested.
The Data-Centric approach is
designed to work with your
current automation systems –
it is system and process
agnostic.
Our Aim
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Q&A7
24

25. GROW FOR TOMORROW