VIRTUAL CONFERENCE
FORUM
FINDATA 2021FINANCIAL SERVICES DATA 2021 SUMMIT
DATE: 7TH-8TH DECEMBER 2021
Days
Hours
Minutes
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About Findata 2021
Using Data and Emerging Technology to Drive Innovation and Transformational Growth, Developa Data Centric Culture, While Complying with Ethics and Regulation
Data Ethics

Increasing numbers of people are getting worried about data ethics. This goes way beyond privacy, fuelled by regular, viral stories of things going wrong, or near misses.

Data Visualisation

Understanding what the uses of visualisation are, why visualisation is important, who the customers of visualisation are and how sophisticated your visualisation needs to be

Improving Data Quality

Ensuring a holistic approach: assessing the people, processes and technology that impact data quality , Establishing and effectively managing the data quality cycle

AI in Financial Services

The role of regulation and policy to adopt the principles of ethics in AI – how must industry back this? , Amazons misogynistic AI recruitment tool and Microsoft racist Ai chatbot – what must organisations do to prevent bias?

Using Data and Emerging Technology to Drive Innovation and Transformational Growth, Developa Data Centric Culture, While Complying with Ethics and Regulation

Findata 2021 Speakers
Learn speakers of the Findata 2021- Financial Services Data 2021 Summit.
Head of Investment Performance & Data, QSuper Group
Head, Business Solutions Group Data Centre of Excellence DBS Bank, Singapore
Director Data and Algorithmic Ethics IAG
Director of Behavioural Science, Afterpay
former Head of Data Management and Business intelligence Latitude Financial Services
Data Scientist Chapter Lead ANZ Bank
General Manager Data & Technology Risk, Latitude Financial Services
Zero to Data Viz as a Tableau Desktop Specialist
Founder and CEO at New Era Analytics
Senior Data Scientist, Pricing and Economic Capital, Risk Management Toyota Finance Australia
Principal Cutter Associates
former Head of Data Strategy Bupa
Independent Consultant & Advisor
Investment Specialist, Platinum Investment Management Limited
Associate Director Group Regulatory Reporting (External) NAB
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Findata 2021 Schedule
Learn schedule, program and topics of the Findata 2021- Financial Services Data 2021 Summit..
  • Embracing AI and Machine Learning
  • Navigating the ethical complexities of Big Data and AI
  • The journey towards open banking
  • Building data talent, culture and literacy

GAUTAM GORKI
Head, Business Solutions, Group Data Centre of Excellence DBS Bank, Singapore

Increasing numbers of people are getting worried about data ethics. This goes way beyond privacy, fuelled by regular, viral stories of things going wrong, or near misses. What can we learn from these stories? And what can we do?

In this talk, we explore how business leaders can move beyond a general sense of unease, by using a few well-known examples of data scandals to motivate some concrete steps you can take in your business to help manage this risk.

CHRIS DOLMAN
Director Data and Algorithmic Ethics
IAG

10.30 - 10.40 MORNING SESSION BREAK

• Drivers and motivators for adopting these technologies
• Defining a data value chain and establishing a data foundation, pipeline and governance process to enable the efficient and effective use of these technologies
• Identifying viable uses cases, talking to the business unit who will be sponsoring the use cases thus solving real business pains
• Automating and augmenting AI processes while keeping the human touch
• Lessons learnt and outcomes so far

DR M MARUF HOSSAIN
Data Scientist Chapter Lead, ANZ Bank

• Developing a comprehensive organisational-wide
strategy for AI adoption
• Understanding the customer and identifying where AI can offer the most value for customers
• Mitigating the risks associated with AI in the financial services industry
• Exploring practical applications of AI in Financial Services

SANDEEP BHALEKAR
Associate Director, Group Regulatory Reporting (External)
NAB

• What are the key challenges and barriers to using data
and emerging technology to drive innovation and
transformational growth
• What ideas, tools or strategies can you adopt to
overcome these challenges and barriers

PANEL MEMBERS:

JOHN ZUGELDER
Senior Manager Data Risk, Macquarie Group

DOUGLAS ISLES
Investment Specialist, Platinum Investment
Management Limited (TBC)

ANU KUKAR
Associate Partner, Cyber Security - Strategy, Risk & Compliance A/NZ, IBM

12.40 - 13.40 LUNCH BREAK

Are 5 why's enough? Templating the creative process
• The critical social contract between business subject matter experts and data experts.
Scope Creep: When good enough will do
• SMEs need to come with an objective, problem, or
question, NOT a draft report.
• Data experts need to ask probing questions, and
they need to timebox the time they spend figuring it out themselves
• The perfect report is worthless if no one's looking at it
• Time box everything
• As soon as the initial outcome is met it's 􀆟me to publish Reduce, reuse, recycle: Streamlining your report catalogue
• Iterate on existing themes and visuals so they tell a more complete
• Reuse colour mapping, metadata files, and layouts whenever possible

JOHN ZUGELDER
Author, Zero to Data Viz as a Tableau Desktop Specialist

• Finding and developing the right data talent
• Geting the wider organisation on board with data
• Implementing the right tools, integrating them with existing systems and ensuring your people can access them
• Ensuring your organisational structure and processes support effective data collection, management, and sharing

PAUL DONTSCHUK
Chief Transformation Officer at RedZed, Former Head of Data Management and Business intelligence, Latitude Financial Services

• Strategic and structural changes to shift data from supportive to fundamental
• Making data a part of the business DNA
• Democratising data – from request-driven to self-service
• Defining a common data language to provide standards for reporting and clarity in communications
• Improving data literacy to support reporting and business intelligence development

• Adherence and understanding of regulation and
compliance
• Ensuring whole leadership involvement and support
• Shifting the mindset towards “data as a strategic asset” across your organisation
• Ensuring data governance is aligned with the business strategy and goals
• Establishing the team responsible for setting the data governance framework
• Change management and communication strategies for roll out

ARNIE WACHS
Principal Cutter Associates

16.20 END OF CONFERENCE DAY ONE

• Amazons misogynistic AI recruitment tool and Microsoft racist AI chatbot – what must organisations do to prevent bias?
• The role of regulation and policy to adopt the principles of ethics in AI – how must industry back this?
• How can data professionals reinforce the development of responsible, human-centric AI?
• What must financial services do to mitigate bias when using AI for applications and approvals?

PANEL MEMBERS:
REIN VAN ROOYEN
Head of Investment Performance & Operations at QSuper Group

KEEGAN O’SHEA
Director of Behavioural Science, Afterpay

12:10 1 HOUR LUNCH BREAK

• Getting leaders to prioritise and view data as a strategic asset
• Influence culture and ways of working to enable
employees to embrace data
• Building data champions and advocates
• Driving a clear and unified data vision throughout the organisations

REIN VAN ROOYEN
Head of Investment Performance & Operations at QSuper Group

• Understanding what makes an effective story
• How data stories differ from regular stories
• Using empathy to connect with the human side
• Know your audience and engage with them
• Balancing emotion and logic to drive meaningful change

KEEGAN O’SHEA
Director of Behavioural Science, Afterpay

10.30 - 10.40 MORNING SESSION BREAK

• Ensuring a holistic approach: assessing the people, processes and technology that impact data quality
• Who are the Data Owners, Stewards, Managers and
Users - establishing clear and concise roles and
responsibilities for data management and quality across your organisation
• Establishing and effectively managing the data quality cycle
• Effectively integrating technology throughout the data quality cycle

• What are the key challenges and barriers to Building the right data talent, driving data-centric cultures and building data literacy to capitalise on data’s value
• What ideas, tools or strategies can you adopt to
overcome these challenges and barriers

PANEL MEMBERS:

PAUL DONTSCHUK
Chief Transformation Officer at RedZed, Former Head of Data Management and Business intelligence, Latitude Financial Services

Other panel members TBA

This session will cover:
• How they defined the scope of the program and the target audience
• How they identified who are the data community, who are the frequent users of data and for what purpose do they use data e.g. analytical or transactional?
• How they developed their strategy, and established committees and working groups to ensure a collaborative approach that gained buy-in
• How they identified what tools were available to them, both internally and externally
• How they developed training materials to deliver and roll out across the organisation

• Using data and analytics to anticipate individual needs, create segments, and build relationships with customers
• Unifying fragmented data to better organise information
and create a 360-degree customer profile
• Applying machine learning and systematic
experimentation to enable flexibility and create
customisation

AMIN KHATAMI
Senior Data Scientist, Pricing and Economic Capital, Risk Management Toyota Finance Australia

• Making your data come to life – why static data isn’t good enough anymore
• The importance of data translators in bringing
technology and business together
• Build vs Buy – Choosing the right tools or choosing the right services
• Example - Using interactive insights with ETFs to drive engagement
• Example – Providing risk analytics as a service with data visualisations

MARK MONFORT
Founder and CEO at New Era Analytics

16.00 END OF CONFERENCE

Findata 2021 Resource
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Registation Packages
Learn about registation Prices and offers for Findata 2021- Financial Services Data 2021 Summit..
SINGLE ONLINE REGISTRATION PRICING: Early Registration
Register before 30th September
$1,890 + GST
SINGLE ONLINE REGISTRATION PRICING: Normal Registration
Pay after 30th September
$1,990 + GST
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