how to get entity, hierarchy and relationship data right

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DataManagementReview.com October 12, 2017 Welcome to A-Team Group’s webinar How to get entity, hierarchy and relationship data right

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Page 1: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

FROM

Welcome to A-Team Group’s webinar

How to get entity, hierarchy and

relationship data right

Page 2: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

FROM

A recording of this webinar can be found

at:

http://resource.datamanagementreview.c

om/webinar-recording-entity-data-

oct2017

Page 3: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

FROM

Join the

Data Management Review Online Community

Data Management Review is your single destination for knowledge and resources covering data management

approaches, trends and challenges as well as all the regulations impacting financial data management for the

enterprise.

Join our 15,000 other members - it’s entirely free to join!

Sign up at http://bit.ly/signupforDMR

Membership entitles you to free access to expert unbiased commentary.

We deliver:

Regular weekly updates on the latest news and views

Blogs and commentary

White papers

Surveys and research

Data management handbooks

Events

Webinars

Awards

Page 4: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

FROM

Moderator:

Sarah Underwood, Editor, A-Team Group

Page 5: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Panel Member: Andy Simpson, Head of Client

Data Operations: Client Management Unit,

ICBC Standard Bank

Areas of Expertise:

• Business owner of counterparty reference data

function at ICBC Standard Bank since 2007

• Experience of supporting disparate stakeholder

requests for legal entity hierarchies and many years

modelling for management of tripartite hierarchies

against an inflexible data model

• Completed a fundamental review of our logical

data model as a precursor to replacing our legal

entity master and party operating model

Page 6: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Panel Member: Neville Homer, Head of RWA

Reference Data and Data Services, RBS

Areas of Expertise:

• Head of reference data at NatWest Markets at RBS

• 19 years working in data related roles in financial

services

• Past eight years managing various data services in

RBS including entity reference data

Page 7: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Panel Member: Kelvin Dickenson, Vice President

Compliance Solutions, Opus/Alacra

Areas of Expertise:

• Responsible for product strategy, product

management for the Opus range of solutions for

KYC and entity reference data

• Advisory board member of the Association of

Certified Financial Crimes Specialists

• 12 years in the data industry providing solutions to

financial firms globally

• 20 years of prior experience at US and UK banks in

a range of compliance and risk management roles

Page 8: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Panel Member: Anders Rodenberg, Head of Financial

Institutions and Advisory, Bureau van Dijk

Areas of Expertise:

• More than seven years of experience in

implementing hierarchy information into global

institutions around the world

• Published articles tackling beneficial ownership

challenges, including recent publication in the

Journal of Financial Compliance, ‘Why the DNA of

beneficial owners prevent companies from self-

submitting beneficial ownership data’

• Intercompany subject matter expert with the label

‘data geek’

Page 9: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

FROM

Panel Member: Tom Stock, Senior Vice President,

Product Management, GoldenSource

Areas of Expertise:

• Head of product management at GoldenSource

• Responsible for the specification of market

requirements for current and future products

• Worked with several larger banks and brokerage

clients on their implementations of client

onboarding, KYC, and entity master

• Part of the GoldenSource leadership team for over

15 years

Page 10: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Types of entity data used in financial institutions and their use cases

Regulatory requirements for entity, hierarchy and relationship data

Opportunities of scaling entity, hierarchy and relationship data

Specific and broad use cases of the Legal Entity Identifier (LEI)

Challenges of sourcing and maintaining entity and hierarchy data

Fulfilling applications such as KYC and sanctions screening

Step-by-step processes to get entity and hierarchy data right

Emerging technologies that can enhance entity data management

Talking Points

Page 11: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Types of entity data and their use cases

Page 12: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Regulatory requirements for entity, hierarchy and

relationship data

Page 13: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Opportunities of scaling entity, hierarchy and

relationship data

Page 14: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Use cases of the Legal Entity Identifier (LEI)

• Regulatory compliance

• MiFID II

• MiFIR

• EMIR

• Dodd-Frank

• Internal operations

• Improved entity management

• Better customer understanding

• New business opportunities

• Improved risk management

Page 15: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Potential of the LEI beyond regulatory compliance

Source: A-Team Group/Dun & Bradstreet White Paper, Deriving True Business Value from the Global LEI, October 2016

Adding datasets to the LEI

Page 16: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Challenges of sourcing and maintaining entity

and hierarchy data

• Sourcing complex datasets

• Building data hierarchies

• Developing entity relationships

• Tracking data changes

• Regulatory requirements

Page 17: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Challenges of frequent changes in

hierarchy data

Page 18: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Page 19: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

FROM

Entity data requirements of apps such as

KYC and sanctions screening

• Data that is:

• Accurate

• Up to date

• Timely

• Accessible

• Refreshed

Page 20: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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A step-by-step process to get sourcing and

management of entity and hierarchy data right

Identify gaps in entity

and hierarchy data

Decide on entity

data management –

in house, vendor?

Map LEIs to internal

entity identifiers in

key applications

Implement solution

–- focus on data

quality and timeliness

Ensure data is

constantly reviewed

and updated

Source LEIs for all

entity data and

hierarchy data

Review internal

universe of entity and

hierarchy data

Decide how to

source entity data

– in house, vendor?

Page 21: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Technology solutions and emerging technologies

for entity and hierarchy data management

• Machine learning

• Cognitive computing

• Artificial Intelligence

• Blockchain

Page 22: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Page 23: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Advice for data practitioners working with entity,

hierarchy and relationship data

Page 24: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

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Thank you to our sponsors

Kelvin Dickenson, CFCS

Head of Compliance

and Data Solutions

48 Wall St., 6th Floor,

New York NY 10005

[email protected]

Contact:

[email protected]

Contact:

Register for your free trial at

bvdinfo.com

or email

[email protected]

Page 25: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

FROM

Upcoming A-Team Group Events

Visit DataManagementReview.com/events

November 16th – RegTech Summit for Capital

Markets, New York City

Page 26: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

FROM

Upcoming A-Team Group Webinars

Visit webinar section of

Datamanagementreview.com

October 19th – Tackling data management pain points in the run up to

MiFID II

October 31st – New data, old data, no data: How do you solve the data

problems of MiFID II and FRTB?

November 9th – Making the most of data management utilities

Page 27: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

FROM

A-Team Group Handbook Series

Visit the handbooks section of

Datamanagementreview.com

Page 28: How to get entity, hierarchy and relationship data right

DataManagementReview.comOctober 12, 2017

FROM

Join the

Data Management Review Online Community

Data Management Review is your single destination for knowledge and resources covering data management

approaches, trends and challenges as well as all the regulations impacting financial data management for the

enterprise.

Join our 15,000 other members - it’s entirely free to join!

Sign up at http://bit.ly/signupforDMR

Membership entitles you to free access to expert unbiased commentary.

We deliver:

Regular weekly updates on the latest news and views

Blogs and commentary

White papers

Surveys and research

Data management handbooks

Events

Webinars

Awards