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FROM
DataManagementReview.comSeptember 21, 2016
Approaches to data quality
Check out other upcoming webinars, white papers, blogs and events at www.DataManagementReview.com
If you’re a vendor looking for high quality content to help articulate your message, take a look at www.a-
teamgroup.com. Or get in touch: 020 8090 2055 / theteam@a-teamgroup.com
FROM
DataManagementReview.comSeptember 21, 2016
Welcome to A-Team Group’s webinar:
Approaches to data quality
FROM
DataManagementReview.comSeptember 21, 2016
Moderator:
Sarah Underwood, Editor, A-Team Group
FROM
DataManagementReview.comSeptember 21, 2016
Panel Member: Sue Geuens, Data Standards and Best
Practice Adoption, Barclays, and President, DAMA
International
Areas of Expertise:
• Became owner of all data for Nhbrc in South Africa when
it started in 2006 and learned about quality the hard way
• Original creator of algorithms defining data quality
criteria for a South African data quality tool, Plasma Mind
• Since then, at almost all clients have been involved in data
quality programmes and assisting with data quality strategies
• Operational expertise of many data quality tools
FROM
DataManagementReview.comSeptember 21, 2016
Panel Member: Matthew Rawlings, Head of Middle Office
and Operations, Bloomberg L.P.
Areas of Expertise:
• Assessing data risk and operational controls
• Financial data technology
• Industry data utilities
FROM
DataManagementReview.comSeptember 21, 2016
Panel Member: Dominique Tanner, Head of Business
Development, SIX Financial Information
Areas of Expertise:
• Lead major initiatives to implement strategic measures to
ensure high data quality standards
• Delivered efficiencies by aligning data flows between
service providers and users
• Industry advocate for the evolution of the data
management ecosystem
FROM
DataManagementReview.comSeptember 21, 2016
 The definition and importance of data quality
Business cases driving data quality improvement
The challenges of achieving data quality
Best practices for data quality implementation
Technologies to support improvement
Metrics for data quality measurement
Operational and business benefits
Talking Points
FROM
DataManagementReview.comSeptember 21, 2016
What do we mean by data quality and why is it so
important?
FROM
DataManagementReview.comSeptember 21, 2016
What types of business use cases are driving
data quality improvement?
FROM
DataManagementReview.comSeptember 21, 2016
Who is responsible for data quality in financial
institutions?
FROM
DataManagementReview.comSeptember 21, 2016
What are the challenges associated with
achieving data quality?
FROM
DataManagementReview.comSeptember 21, 2016
How are financial institutions gaining buy-in for
data quality programmes?
FROM
DataManagementReview.comSeptember 21, 2016
What best practices are emerging in the market to
improve data quality?
FROM
DataManagementReview.comSeptember 21, 2016
Which technologies are being implemented to
support improvement?
FROM
DataManagementReview.comSeptember 21, 2016
How can rules and standardisation be used to
improve data quality?
FROM
DataManagementReview.comSeptember 21, 2016
FROM
DataManagementReview.comSeptember 21, 2016
What sort of metrics are available to measure data
quality?
FROM
DataManagementReview.comSeptember 21, 2016
FROM
DataManagementReview.comSeptember 21, 2016
Examples of financial institutions that are making
good progress on data quality
FROM
DataManagementReview.comSeptember 21, 2016
What operational and business benefits result
from ongoing data quality?
FROM
DataManagementReview.comSeptember 21, 2016
How will requirements for data quality unfold in
the next few years?
FROM
DataManagementReview.comSeptember 21, 2016
Thank you to our sponsors
Contact:
Dominique Tanner
Head Content Management
SIX Financial Information
dominique.tanner@six-group.com
Contact:
Matthew Rawlings (New York)
mrawlings1@bloomberg.net
+1 646 324 4460
Andrew Parry (London)
aparry22@bloomberg.net
+44 20 3525 9425
FROM
DataManagementReview.comSeptember 21, 2016
October 6th
Data
Management
Summit
London
November 17th
Data
Management
Summit
New York
Upcoming A-Team Group Events
Visit DataManagementReview.com/events
FROM
DataManagementReview.comSeptember 21, 2016
Upcoming A-Team Group Webinars
September 29th
The art of
implementing
data lineage
October 11th
Practical
approaches to
improving entity
data quality
October 13th
Integrating
beneficial
ownership data
with client
onboarding and
KYC systems
Visit webinars section of DataManagementReview.com
FROM
DataManagementReview.comSeptember 21, 2016
A-Team Group Handbook Series
Visit the data management handbooks section of
DataManagementReview.com
FROM
DataManagementReview.comSeptember 21, 2016
Please take the time to
complete our post webinar
survey
We will notify you when the
webinar recording is available
Thank you for joining us

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Approaches to data quality