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​ 5 Keys to Compliance
​ The Financial Services Regulatory Data Imperative
22
​ BCBS 239, CCAR,
​ Dodd-Frank & Solvency II
​ Requirements for transparency of data,
​ systems, policies, processes, and
​ documentation are more stringent than ever
© 2015 Teradata
Read full report
33
all to manage risk, financial, capital and
regulatory reporting and analysis
© 2015 Teradata
•  Transparent data processes
•  Hardened infrastructure
•  Existence of integrated data
Organizations Must
DEMONSTRATE:
Read full report
44 © 2015 Teradata
5 KEY
Requirements for Success
Read full report
55
Strong data
governance to
exhibit planning,
processes and
oversight
​ .
© 2015 Teradata
#1
•  Management of Data Changes
•  Documentation of Data Lineage
•  Definition of Data
Read full report
6
Data quality and integrity
that satisfies correct,
accurate data is supplied
#2
6 © 2015 Teradata
•  Ensure data is fit for intended use
•  Establish ongoing process, metrics and targets
•  Aggregate risk and reporting to show accurate,
reliable data quality process
•  Contend with legacy silos and systems to
ensure consistency and transparency
Read full report
7
Data models and analytics
that ensure information is tied
together properly
#3
7 © 2015 Teradata
•  What the data models are
•  How data elements are defined
•  How the flow of data is controlled
•  How data is managed and used
Read full report
8
#4
8 © 2015 Teradata
Data lineage to
prove where and
how data is created
and touched
throughout its
lifecycle
Read full report
9
#4
9 © 2015 Teradata
DATA LINEAGE
Improve IT infrastructure so that
more frequent data are
available for certain risk areas
(credit risk and liquidity risk)
Process infrastructure
improvements to reduce reliance
on manual workarounds and
automate aggregations
Read full report
10
#4
10 © 2015 Teradata
Ensure integrated
data taxonomies and
dictionaries
Simplify current IT architecture
and data flows to streamline
the aggregation process and
enable quick aggregation of
risk data
Identify and define
“data owners” to
improve accountability
DATA LINEAGE
Read full report
11
#5
11
Alignment of new internal and
consultant resources to
manage compliance of data
requirements
© 2015 Teradata
• Compliance of data storage, flow,
analytics and governance
• Identification and oversight of risk
gaps within financials and
operations
• Demonstration of remediation
strategies
Read full report
1212 © 2015 Teradata
• Reduce potential penalties
• Reuse processes for other regulations
• Boost consumer confidence
• Free up audit preparation funding to pursue
new innovation, products and services
• Increase shareholder, investor value
The BENEFITS of
COMPLIANCE
Read full report
13
Read the full report:
“Financial Services Regulatory
Data Imperative: Framing the
Data Management
Requirements”
Or visit
Teradata.com/financialservices
© 2015 Teradata
There’s more to the story
Read full report
5 Keys to Compliance: The Financial Services Regulatory Data Imperative

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5 Keys to Compliance: The Financial Services Regulatory Data Imperative

  • 1. ​ 5 Keys to Compliance ​ The Financial Services Regulatory Data Imperative
  • 2. 22 ​ BCBS 239, CCAR, ​ Dodd-Frank & Solvency II ​ Requirements for transparency of data, ​ systems, policies, processes, and ​ documentation are more stringent than ever © 2015 Teradata Read full report
  • 3. 33 all to manage risk, financial, capital and regulatory reporting and analysis © 2015 Teradata •  Transparent data processes •  Hardened infrastructure •  Existence of integrated data Organizations Must DEMONSTRATE: Read full report
  • 4. 44 © 2015 Teradata 5 KEY Requirements for Success Read full report
  • 5. 55 Strong data governance to exhibit planning, processes and oversight ​ . © 2015 Teradata #1 •  Management of Data Changes •  Documentation of Data Lineage •  Definition of Data Read full report
  • 6. 6 Data quality and integrity that satisfies correct, accurate data is supplied #2 6 © 2015 Teradata •  Ensure data is fit for intended use •  Establish ongoing process, metrics and targets •  Aggregate risk and reporting to show accurate, reliable data quality process •  Contend with legacy silos and systems to ensure consistency and transparency Read full report
  • 7. 7 Data models and analytics that ensure information is tied together properly #3 7 © 2015 Teradata •  What the data models are •  How data elements are defined •  How the flow of data is controlled •  How data is managed and used Read full report
  • 8. 8 #4 8 © 2015 Teradata Data lineage to prove where and how data is created and touched throughout its lifecycle Read full report
  • 9. 9 #4 9 © 2015 Teradata DATA LINEAGE Improve IT infrastructure so that more frequent data are available for certain risk areas (credit risk and liquidity risk) Process infrastructure improvements to reduce reliance on manual workarounds and automate aggregations Read full report
  • 10. 10 #4 10 © 2015 Teradata Ensure integrated data taxonomies and dictionaries Simplify current IT architecture and data flows to streamline the aggregation process and enable quick aggregation of risk data Identify and define “data owners” to improve accountability DATA LINEAGE Read full report
  • 11. 11 #5 11 Alignment of new internal and consultant resources to manage compliance of data requirements © 2015 Teradata • Compliance of data storage, flow, analytics and governance • Identification and oversight of risk gaps within financials and operations • Demonstration of remediation strategies Read full report
  • 12. 1212 © 2015 Teradata • Reduce potential penalties • Reuse processes for other regulations • Boost consumer confidence • Free up audit preparation funding to pursue new innovation, products and services • Increase shareholder, investor value The BENEFITS of COMPLIANCE Read full report
  • 13. 13 Read the full report: “Financial Services Regulatory Data Imperative: Framing the Data Management Requirements” Or visit Teradata.com/financialservices © 2015 Teradata There’s more to the story Read full report