Data lineage is key to regulatory compliance and financial institutions’ ability to understand and use their data to business advantage. It is also important from an operational perspective, as a successful implementation can identify systems and data feeds that are no longer necessary and can be switched off, saving money and resource. The webinar will consider the drivers of data lineage, best practice implementation and beneficial outcomes. Join the webinar to find out about: -Regulatory requirements for lineage -Challenges of development -Best practice implementation -Technology solutions -Beneficial outcomes

1. DataManagementReview.comJune 26, 2018
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Welcome to A-Team Group’s webinar
How to get data lineage right

2. DataManagementReview.comJune 26, 2018
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A recording of this webinar can be found
at:
http://resource.datamanagementreview.c
om/webinar-recording-data-lineage-
june2018

3. DataManagementReview.comJune 26, 2018
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4. DataManagementReview.comJune 26, 2018
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Moderator:
Sarah Underwood, Editor, A-Team Group

5. DataManagementReview.comJune 26, 2018
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Panel Member: Dan Bucosky, Consultant,
Data Quality and Data Governance, Tier 1 Institution
Areas of Expertise:
• Data lineage support for data quality remediation
• Data lineage certification
• Data lineage ability to support GDPR

6. DataManagementReview.comJune 26, 2018
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Panel Member: Stephen Veasey, CEO, 3d innovations
Areas of Expertise:
• Management consultancy and technology in
enterprise data management
• 3di's expertise lies in enterprise market data
management
• In the context of data lineage, 3di's delivery revolves
around forensic discovery and reporting of content
flow throughout an organisation, with particular
emphasis on data lineage for licensing requirements)

7. DataManagementReview.comJune 26, 2018
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Panel Member: Philip Miller, Co-Founder, Solidatus
Areas of Expertise:
• Master of Engineering Degree in Artificial Intelligence
from Imperial College
• Expert in real-time regulatory reporting and enterprise
data management
• Formerly enterprise architect at a Tier 1 bank for Big
Data, data science and real-time data distribution

8. DataManagementReview.comJune 26, 2018
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Financial institutions’ progress on data lineage implementation
 Regulatory drivers behind lineage and what regulations require
Responsibility for data lineage in a financial institution
Immediate and long-term data management pain points
Technology solutions that address pain points and maintenance
How best to combine data lineage and data governance
Step-by-step guide to best practice data lineage implementation
Business and operational benefits of effective data lineage
Talking Points

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Progress financial institutions have made on
date lineage

10. DataManagementReview.comJune 26, 2018
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Regulatory drivers behind lineage and the
regulatory requirements
“Regulations have always
hinted at data lineage
requirements, but BCBS 239
makes it front and centre as it
requires more insight into, and
investment in, data quality to
ensure business decisions can
be tracked”
Source: Data Management Review
blog, June 2017

11. DataManagementReview.comJune 26, 2018
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In the context of data ownership, who should be
responsible for data lineage in a financial
institution?

12. DataManagementReview.comJune 26, 2018
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Immediate and long-term data management
pain points of lineage
• Large volumes of data
• Legacy environments
• Manual processes
• Disparate systems
• Mixed data formats
• Data quality
• Ensuring data ownership
• Extracting useful information
• Sustaining accurate lineage

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To what extent can data lineage be automated?
“Everyone in an organisation today
wants a silver bullet, they want one
solution vendor to come in, pull the
trigger and give you 100% definitive
lineage – and that’s just not the real
world. Our systems are too complex
and have been around a long time,
so it’s going to get you 85-90% of the
way there and you’re going to do
some manual stitching.”
Source: Data Management Review blog,
January 2018

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Technology solutions to address pain points and
ensure ongoing maintenance of accurate lineage

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How important is speed in creating lineage,
visualisation and flexibility to manage change?

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How best to combine data lineage with
data governance

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A step-by-step guide to best practice data
lineage implementation
Get the most out of data lineage:
• Let your most important data
drive the project
• Prioritise this data to get a quick
win and business buy-in
• Use automated tools to capture
data lineage
• Data lineage is an ongoing effort
• Create a sustained data lineage
and governance framework
Source: Data Management Review blog,
January 2018

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Business and operational benefits of a successful
implementation
• Improved data reliability
• Discover important data
• Eliminate data duplication
• Combine data sources
• Switch off redundant systems
• Secure data ownership
• Identify business opportunities
• Ease regulatory compliance

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Advice for data management practitioners
working on data lineage

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Thank you to our sponsors
Ashleigh Taylor
Marketing Manager
Solidatus
www.solidatus.com
Phone +44 (0) 7895 753 957
ash.taylor@solidatus.com
Stephen Veasey
CEO
3d innovations
US Office: +1 646 452 7062
UK Office: +44 (0) 20 3709 4336
UK Mobile: +44 (0) 7803 906 234
sveasey@3di-ltd.com

22. DataManagementReview.comJune 26, 2018
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