Moving to the new world of data New information for 2020 coming soon.
etc.venues St Paul’s London
21st March 2019
Registration and Networking over Coffee
Chair’s Opening address: Andrew Delaney, Chief Content Officer, A-Team Group
Practitioner Innovation Keynote: Data driven transformation
Hear from Peter Jackson who will share his experiences of transforming data related IT infrastructure and processes and will demonstrate how he has turned data into an asset, monetised data and commercialised it for revenue generating purposes. Peter will share lessons learned and recommended best practices.
Peter Jackson, Director – Group Data Sciences, Legal & General
Opening (User) Panel: Moving to the new world of data
What are the breakthroughs required to move from a legacy organisation that has data to a modern organisation that is built on data? A huge shift is required in terms of mindset, training, expertise and some fundamental changes in data architecture and infrastructure. Our panel of data management leaders will share practical insight on how they are approaching change and positioning their organisations to thrive in the digital world.
Moderated by: Malavika Solanki, Member of the Management Team, ANNA DSB
Andrew Barnett, Former Chief Data Officer, Legal & General IM
Hany Choueiri, Chief Data Officer, Aldermore
Adam Preston, Global Chief Data Officer, Santander
Peter Eckley, Chief Data Officer, Bank of England
Keynote : Creating the data-driven buy-side – how asset and wealth managers are transforming their offerings, their operations and themselves
What are the key changes in customer expectations, regulation and investment profile that are putting pressure on the buy-side? Using customer examples, this talk will illustrate how leading organizations are responding to these using data-driven approaches to drive better customer interactions, improved product sets and reach and more agile operations.
Giles Nelson, CTO, MarkLogic
Networking and refreshment break
Panel: How to get data lineage right
Rolling out data lineage remains a key challenge for financial institutions. How should data teams approach data lineage and put in place a framework to ensure lineage is complete and supports GDPR compliance, crossing business lines to solve the goals for data value.
- Impact of business drivers and regulations such as GDPR on data lineage?
- How should firms approach data lineage as they embark on programmes and later as programmes scale?
- Moving from a manual approach to using automated tools
- How do you use new and emerging technologies like privacy management technology and machine learning to track data lineage?
- How do you trace data lineage through unstructured data?
- What are best practices for sustaining data lineage once they are documented?
Moderated by: Nicola Askham, The Data Governance Coach
Naomi Clarke, Former Head of Data, GAM
Barry Green, Former Chief Data Officer, Bank of Ireland
Stephen Veasey, CEO, 3D Innovations
Ian Evans, Managing Director, EMEA, OneTrust
Nimrod Vax, Co-Founder & Head of Product, Big ID
Panel: Getting data ready to deliver business benefits and data products
- With the rapid adoption of data analytics, how can firms ensure data quality and data governance levels, to guarantee availability, consistency and ‘trusted’ data?
- With the increased scale and complexity of data coming into the organisation, how can we ensure data accuracy through real time monitoring and quality checks?
- Having the right controls and access in place to uphold data privacy
- Using data dictionaries and business glossaries to achieve consistencies and help the business units understand different types of data
- Creating feedback loops between data management and the business
- Role of DataOps: Help or hinder your current data management processes?
Moderated by: Garry Manser, Senior Manager, Master/Reference Data & Data Quality, BT
Mark Wilson, Head of Data Governance, Handelsbanken
Leyre Murillo Villar, CDO Data Control Lead, BNP Paribas
Peter Moss, CEO, SmartStream RDU
Keynote: Data Management – Why is it all so difficult?
- The financial industry spends USD 28.5 Billion on externally sourced market data
- It spends a further USD 2-3 Billion cleaning the data up, so that it is usable internally
- Why is it so difficult?
- What can the industry do about it?
- What can you do to help your firm?
Peter Moss, CEO, SmartStream RDU
Networking and Lunch in the Exhibition Area
Stream A: Managing regulation, reporting and risk
Chaired by: Sarah Underwood, Editor, Data Management Insight, A-Team Group
Panel: Reviewing the regulatory landscape and impact of Brexit: The data management response for 2019
- Reviewing the Impact of specific regulations on data management processes and principles: SFTR, AnaCredit, FRTB, MiFID II, ECB Trim
- Impact of Brexit on GDPR and data protection, cross border data flows; data storage and cloud considerations
Moderated by: Selwyn Blair Ford, Financial Regulatory Specialist
Suriya Subramanian, Regulatory Reporting (Brexit), Consultant
Chad Giussani, Head, Operations Transaction Reporting Compliance, Standard Chartered Bank
Monica Monaco, Founder and Managing Director, TrustEu Affairs
Mateusz Hojda, Co-Founder, Business Reporting-Advisory Group
Stream B: Building data science capability
Chaired by: Lauren McAughtry, Editor, RegTech Insight, A-Team Group
Panel: Building a diverse data and analytics team
Action-orientated session! Leave with practical ideas and make a difference to your organisation right away
- How do we find, motivate and retain new skills for data management and data science?
- How should we encourage the younger generation to consider a career in data (and analytics)?
- Diversity and recruitment: how can we attract more women and other minorities to data teams?
- How can we encourage a more inclusive organisational culture?
- How can we close the gender gap to speed up gender diversity in senior leadership positions?
- Diversity and data: how are firms using data/analytics to track and reach diversity goals?
Moderated by: James Morgan, Chair, DMA Customer Data Council & Women in Data UK Ambassador
Simon Walker, Managing Partner, Kubrick Group
Jean Panagamuwa, Director – Head of Data Analysis & Governance, Capital One
Mark Ainsworth, Head of Data Insights, Schroders
Kate Brooks, Group Head of Data Management, Lloyds Banking Group
Panel: Strengthening reporting for reduced risk, improved efficiency and transparency
Regulations are requiring more and more granular data for analytical and modelling purposes and regulators have been discussing the desire to collect data directly rather than from reports, so firms have to provide data and analytics to satisfy many different requests.
- What are the regulators doing in this space to help the industry improve reporting?
- How are firms responding and to what extent can regtech and technologies like data lakes help?
- Impact of regulatory reporting standards – how practically can you use standards and what value do they bring? When do data standards really bring value beyond just regulatory reporting?
- What applications are there for data standards, data models and identifiers as provided by the regulators to enable a more data driven approach?
Moderator: Michal Piechocki, Member of the Board of Directors, XBRL International
Olivia Hauet, Senior Project Manager and Business Analyst, Nordea
Beju Shah, Head of Data Collection & Publication, The Bank of England
Mike Atkin, Consultant to CUSIP Global Services, S&P Global Market Intelligence
Richard Young, Industry and Regulatory Relations, Global Data, Bloomberg
Giles Nelson, CTO, MarkLogic
Presentation: Releasing the full potential of your data with an Enterprise Knowledge Graph
- Why data is more valuable when semantically connected
- The transformative power of an Enterprise Knowledge Graph
- Building up maturity, one deliverable at a time
Jacobus Geluk, Former Head of Enterprise Knowledge Graph Architecture team, Senior Director/Fellow Architect, BNY Mellon; Founder & CTO, agnos.ai
Jeremy Posner, Principal Consultant, agnos.ai
Networking and refreshment break
Afternoon Keynote: Creating a data ethics framework to build trust in the age of AI
Traditional data governance needs to evolve to keep up with the pace of technology and rules on privacy and consent. Having a data ethics framework and set of standards in place to ensure data is protected whilst not stifling data innovation initiatives, is becoming critical to data strategy. Lorraine will share practical insight into how to set up a data ethics framework based on her work at HSBC.
Lorraine Waters, Chief Data Officer, Financial Crime Risk, HSBC
Panel: Unlocking value – Laying the foundations for smart analytics
Every firm aspires to use the best new technologies to win more business, operate more efficiently or better support their existing clients. It’s a changing data landscape but whether your goal is to harness smart analytics or implement wholesale machine learning or make use of cutting edge alternative data sources, there are some fundamental capabilities that need to be in place.
How do you ensure your firm can make best use of investments in new data and data technology? How can you scale promising POC’s into a true enterprise asset? What does a well evolved analytics architecture look like? How do you marry process and policy with the right tools to ensure control and data quality? How do you identify the right components and decide between competing products?
Moderated by: Mark Davies, Partner, Element 22
John Bottega, Executive Director, EDM Council
Roberto Maranca, Data Excellence VP, Schneider Electric (Former CDO, Lloyds)
Anthony Coates, VP, Lead Engineer (Solution/Data Architect), Deutsche Bank
**Please note agenda subject to change**