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IMPLEMENTING BCBS-239
Presented by:
MUHAMMAD ZAHID
Mobile:00966 50 153 5985,
mzahidgill@yahoo.com
**Disclaimer: Views expressed in this presentation are of the presenter only.
Copyrights reserved
BCBS-239 Related Questions & Challenges
1. Does risk data aggregation apply only to internal reports or also to the
regulatory reports as well?
2. Focused on automating the reports only or more on integrating them?
3. A one-off compliance exercise or an investment for the future?
4. To what extent have regulators been engaged in this exercise, enabling the
banks to comply with the BCBS-239 Requirements?
5. Does BCBS-239 provide a standard implementation roadmap & benchmarks,
enabling the banks to measure their compliance level or is it all judgmental?
6. Does BCBS-239 draw out some target state for the banks in terms of their
business model & risk profile?
7. Have the progress documents (ie BCBS-268, 308 & 348) measured and
mapped the implementation progress around some pre-defined themes?
8. How far is the ‘BCBS Committee’ confident that earnest implementation of
these principles by G-SIBs & D-SIBs will enable banks to withstand the ‘future
financial crises’?
2
Start:
Adoption of 11
Principles Underlying themes Current state of play
End:
Totally Integrated-
Automated
Environment
Risk
management
capabilities
Data
management
capabilities
RDA
capabilities
Risk reporting
capabilities
CapabilitiesThemesPrinciples/
Frameworks
Overarching
- Governance
- IT infrastructure
- Architecture
Risk Data Aggregation
- Accuracy & Integrity
- Completeness & Timeliness
- Adaptability
Risk Reporting
- Accuracy
- Clarity & Usefulness
- Frequency & Distribution
Speed & Confidentiality
RDA themes
Automation & Adaptation
Transparency
Reconciliation & Validation
Flexibility
Materiality
3
4
Why Themes….?
• RDA Principles are very high level and generic.
• To build a strong connection between the principles
and the actual working pattern of the enterprise.
• Themes have been worked out to communicate the
essence of principles to the risk, business, data, finance
and technology functions across the organization.
• Proposed six Themes enable us to lever the
understanding of the principles down to the respective
function level.
6-Speed &
Confidentiality
RDA themes
5-Automation &
Adaptation
4-Transparency
3-Reconciliation &
Validation
2-Flexibility
1-Materiality
RDA Themes & Principles Mapping…
5
4-Completenesss
8-Comprehensiveness
9-Clarity & Usefulness
7-Accuracy
1-Governance
2-Data Architecture & IT
Infrastructure
3-Accuracy & Integrity
5-Timeliness
6-Adaptability
10-Frequency
11-Distribution
RDA Principles
Defined in silos or in an integrated
environment
Empowering the management/board to make
decisions with right level of information
Controlled level of errors & ambiguities
Moving from black box analytics towards open
box & transparent analytics environment
Resilience in organization to any emerging
scenarios
Information available on Timely & Need to
know basis within near zero time lapse
Themes Explained
6
(f) Speed & Confidentiality
RDA themes
(e) Automation & Adaptation
(d) Transparency
(c) Reconciliation & Validation
(b) Flexibility
(a) Materiality
6
Risk Data Aggregation Themes…
BCBS-239 IMPLEMENTATION FRAMEWORK
(Our Understanding -Totally Integrated-Automation of Risk Data Aggregation & Risk Reporting)
Major Themes
emerging from
BCBS-239 Principles
(a) Materiality
(b) Flexibility
(c) Reconciliation
and Validation
(d) Transparency
(e) Automation &
Adaptation
(f) Speed &
Confidentiality
Situation Driven
Arrangements
Defined in siloed
environment
External interventions
(through
vendors/consultants for
reporting changes)
Disparate Repositories
Black Box Analytics
Manual
Batch-based Reporting
Confidential information
bypassed from the reports
Interim Arrangements
(centralization)
Framework based definitions
Power-user
configurable rule
based model
On-demand
drill-down
Clarity
Single data pool (for
all operating units ie
branches, regions
and HO)
Automated
monthly/quarterly
Reporting
Automated daily
batch-based
reporting
Totally Integrated-Automated
Environment
Systems & Frameworks integrated with the
evolving business model and risk profile
End user configurable reporting/
Self service BI
Risk Aggregation (ie Economic Capital)
Model review, validation, monitoring and
mitigation based on near real inputs, enabling
current/forward looking
Risk Intelligence
Clarity and Robustness
Near-Continuous automated and on-
demand reporting
Unification of Risk & Accounting Data
Confidential information duly included in the
reports and confidentiality of reports ensured
Current
State
Target
State
7
Totally Integrated-Automated
Environment
• Systems & Frameworks integrated with the evolving business
model and risk profile
• End user configurable reporting
• Risk Aggregation (ie Economic Capital)
• Model reviews, validation, monitoring and risk mitigation based
on near real inputs, enabling Risk Intelligence
• Clarity and Robustness
• Near-Continuous automated and on-demand reporting
• Unification of Risk & Accounting Data
• Confidential information duly included in the reports and
confidentiality of reports ensured
Benchmarks Development
Involves intensive effort to
align Benchmarks with the
business model and the
risk profile of the bank.
These benchmarks
become the yardstick to
measure the level of
compliance.
8
TARGET STATE VISUALISATION THROUGH THE BENCHMARKS
9
BENCHMARKS LINKED WITH THE TARGET STATE
•Framework/Strategy
•Policies
•Integrated Risk
Processes
•Integrated Risk Data
•Integrated Risk
Systems
Infrastructural
Maturity
Parameters
•Ongoing Processing
•Exceptions
(Regulatory, Audit,
Policy etc)
•Loss Events
Processing &
Controls
Maturity
Parameters
BCBS-239
Principles
Requirements
(87)
Interpretation/
Understanding
10
•Framework/Strategy
•Policies
•Integrated Risk
Processes
•Integrated Risk Data
•Integrated Risk
Systems
Infrastructural
Maturity
Parameters
•Ongoing Processing
•Exceptions
(Regulatory, Audit,
Policy etc)
•Loss Events
Processing
& Controls
Maturity
Parameters
BENCHMARKS LINKED WITH THE TARGET STATE
*
Documentation
Coverage
Quality
*
Documentation
Coverage
Quality
Compliance
Levels
Each point
assessed
against…
Each point
assessed
against…
4-Fully
Compliant
3-Largely
Compliant
2-
Materially
Non-
Compliant
1-Non
Compliant
* Each of these parameter to be assessed against the three sub-parameters (ie Documentation, Coverage & the Quality)
Benchmarks Working Sheet
11
Principles
(2)
Requirements
RDA Team
Interpretation
--
Description of
Interpretation in
terms of
Risk/Compliance
Capability Maturity Parameters, Benchmarks & Validation
Infrastructural Execution Oriented
(1-5) (6-7)
Level of
Compliance
Framework/s
(Strategy)
Policy/ies Process/es Risk Data System/s
Ongoing
Processing &
Execution
Exceptions/
Risk-Loss Events
Data architectureand IT infrastructure – A
bank should design,build and maintain data
architectureand IT infrastructurewhich fully
supportsits risk data aggregation capabilities
and risk reporting practicesnot only in
normal times but also duringtimes of stress
or crisis, while still meeting the other
Principles.
33. A bank should establish integrateddata
taxonomies and architectureacross the
banking group, which includes informationon
the characteristics of the data (metadata), as
well as use of single identifiers and/or unified
naming conventions for data includinglegal
entities, counterparties, customers and
accounts.
34. Roles and responsibilities should be
established as they relate to the ownership
and quality of risk data and informationfor
both the business and IT functions. The
owners (business and IT functions), in
partnership with risk managers, should ensure
there are adequate controls throughout the
lifecycleof the data and for all aspects of the
technology infrastructure. The role of the
business owner includes ensuring data is
correctlyentered by the relevant front office
unit, kept current and aligned with the data
definitions, and also ensuring that risk data
aggregationcapabilities and risk reporting
practices are consistent with firms’ policies.
2. Data architecture and IT infrastructure 1 2 3 4 5 6 7
19 Data taxonomies 1-Integrated data taxonomies across the
banking group
a-Meta Data
b-single identifiers and/or unified naming
conventions for data including legal entities,
counterparties, customers and accounts
2-Integrated data architecture across the
banking group
a-Meta Data
b-single identifiers and/or unified naming
conventions for data including legal entities,
counterparties, customers and accounts
Documentation: 1 Documentation: 1 Documentation: 1 Documentation: 1 Documentation: 1 Documentation: 1 Documentation: 1
Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1
Coverage:
1 Coverage: 1 Coverage: 1 Coverage: 1 Coverage: 1 Coverage: 1 Coverage: 1
Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1
Quality: 1 Quality: 1 Quality: 1 Quality: 1 Quality: 0 Quality: 1 Quality: 1
Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 0 Benchmark: 1 Benchmark: 1
Corporate
Banking
HR
Risk
Management
Operations
12
Integration
Automation
Aggregation
Risk
Management
Framework &
Risk Strategies
Risk
Management
Policies (#)
Risk
Management
Process (#)
--Data Items (Data
Dictionary) promptly
mapped to the Glossary
of Business Concepts
--Data Maturity Models
--Utilization
Integrated
Platform of Risk
Systems
Processing of risk
management constantly
reviewed & Enhanced on
ongoing basis
Risk of Losses and
Exceptions
constantly monitored
& managed
Market
Risk
Ops
Risk
Other
Risks
Credit
Risk
CRO
Dashboard
Integrated Data/Information
Policies
Integrated Systems
Integrated Processes
Ongoing Processing
Exceptions & Losses
Frameworks/Strategies
Integrated
Totally Integrated–Automation…
1-Business/
Risk Areas
3-Parameters/
Modules
2-Themes
Totally Integrated-Automated Environment
13
1 2 3 4
1234
Integration
Automation
HI-HA
HI-LA
LI-HA
LI-LA
2013
2.55
2015
2.65 Approx.
2016 & beyond
?
Overall G-SIBS
Progress of Results
2
0
1
5
2014
2.58
LA-Low Automation
HA-High Automation
LI-Low Integration
HI-High Integration
Full
Integration
Full
Automation
BCBS-239 IMPLEMENTATION FRAMEWORK
(Our Understanding -Totally Integrated-Automation of Risk Data Aggregation & Risk Reporting)
RDARR Capabilities
Capabilities
Risk Management
Capabilities
Able to …..
-Identify & Assess Risk
-Quantify & Manage Risk
- Control & Monitor Risk
- Report the Risk
Infrastructure & Data
Management Capabilities
Able to ….
- Identify & Describe Data
- Stage & Store Data
- Provide & Share Data
- Integrate & Move Data
- Govern & Manage Data
Risk Data Aggregation
Capabilities
Able to….
-Have global consolidated
- view of data
- view of exposure
- view of risk
- Adapt to the emerging
scenarios
Risk Reporting
Capabilities
Able to provide:
- dynamic & multi-dimensional
view of risk analytics
- scenario based and action
oriented analytics
- entity plus group wide view of
risk analysis
- top down and bottom up risk
steering
START
Situation Driven
Arrangements
Interim
Arrangements
Totally
Integrated-
Automated
Environment
14
BCBS-239 IMPLEMENTATION FRAMEWORK
(Our Understanding -Totally Integrated-Automation of Risk Data Aggregation & Risk Reporting)
START
Situation Driven
Arrangements
Interim
Arrangements
Totally
Integrated-
Automated
Environment
Principles/ Frameworks
Risk Management
Capabilities
Infrastructure & Data
Management
Capabilities
Risk Data Aggregation
Capabilities
Risk Reporting
Capabilities
P
r
i
n
c
i
p
l
e
s
/
F
r
a
m
e
w
o
r
k
s
Risk Governance Data Governance Aggregation Governance Reporting Governance
P
r
i
n
c
i
p
l
e
s
/
F
r
a
m
e
w
o
r
k
s
Risk - IT Infrastructure
Data - IT Infrastructure
Aggregation - IT
Infrastructure Reporting - IT Infrastructure
Risk Architecture Data Architecture RDA Architecture Reporting Architecture
Basel Principles of Sound Risk
Management& Corporate
Governance
DAMA
Data Management
Maturity (DMM) Model
Data Management
Capability Assessment
(DCAM) Model
….
Accuracy & Integrity Accuracy
Completeness Comprehensiveness
Timeliness Clarity & Usefulness
Adaptability Frequency
Distribution
EMBEDDING INTO BIGGER REPORTING FRAMEWORK
16
Basic Cubes
‘Input Layer’
Data Dictionary
Smart Cubes
‘Output Layer’
Aggregated
Bank, Regulatory,
National Needs
Templates
Aggregation
Loans Securities
Integrated Data Dictionary
https://www.bis.org/ifc/events/ifc_isi.../010_turner_presentation.pdf
17
Consumers Devil lies in Data
CHANGE NEEDS TO BE REAL….
18
1. Internal reports need to be covered comprehensively encompassing the
regulatory content as well.
2. Focused on integrating & automating the reports.
3. An investment for the future.
4. Regulators need to be intensively engaged in this exercise.
5. BCBS-239 being a principle-based requirement does not provide a standard
implementation roadmap & benchmarks and thus leave it to the banks.
6. BCBS-239 does not draw out target state for the banks and leaves it to them in
terms of their business model & risk profile?
7. Progress documents (ie BCBS-268, 308 & 348) does not reflect the themes to
be followed.
8. Low score on the part of banks is a cause of concern to withstand the ‘future
financial crises’
BCBS-239 Related Questions & Challenges
- Our answer..
19

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Implementing bcbs 239 rdarr

  • 1. IMPLEMENTING BCBS-239 Presented by: MUHAMMAD ZAHID Mobile:00966 50 153 5985, mzahidgill@yahoo.com **Disclaimer: Views expressed in this presentation are of the presenter only. Copyrights reserved
  • 2. BCBS-239 Related Questions & Challenges 1. Does risk data aggregation apply only to internal reports or also to the regulatory reports as well? 2. Focused on automating the reports only or more on integrating them? 3. A one-off compliance exercise or an investment for the future? 4. To what extent have regulators been engaged in this exercise, enabling the banks to comply with the BCBS-239 Requirements? 5. Does BCBS-239 provide a standard implementation roadmap & benchmarks, enabling the banks to measure their compliance level or is it all judgmental? 6. Does BCBS-239 draw out some target state for the banks in terms of their business model & risk profile? 7. Have the progress documents (ie BCBS-268, 308 & 348) measured and mapped the implementation progress around some pre-defined themes? 8. How far is the ‘BCBS Committee’ confident that earnest implementation of these principles by G-SIBs & D-SIBs will enable banks to withstand the ‘future financial crises’? 2
  • 3. Start: Adoption of 11 Principles Underlying themes Current state of play End: Totally Integrated- Automated Environment Risk management capabilities Data management capabilities RDA capabilities Risk reporting capabilities CapabilitiesThemesPrinciples/ Frameworks Overarching - Governance - IT infrastructure - Architecture Risk Data Aggregation - Accuracy & Integrity - Completeness & Timeliness - Adaptability Risk Reporting - Accuracy - Clarity & Usefulness - Frequency & Distribution Speed & Confidentiality RDA themes Automation & Adaptation Transparency Reconciliation & Validation Flexibility Materiality 3
  • 4. 4 Why Themes….? • RDA Principles are very high level and generic. • To build a strong connection between the principles and the actual working pattern of the enterprise. • Themes have been worked out to communicate the essence of principles to the risk, business, data, finance and technology functions across the organization. • Proposed six Themes enable us to lever the understanding of the principles down to the respective function level.
  • 5. 6-Speed & Confidentiality RDA themes 5-Automation & Adaptation 4-Transparency 3-Reconciliation & Validation 2-Flexibility 1-Materiality RDA Themes & Principles Mapping… 5 4-Completenesss 8-Comprehensiveness 9-Clarity & Usefulness 7-Accuracy 1-Governance 2-Data Architecture & IT Infrastructure 3-Accuracy & Integrity 5-Timeliness 6-Adaptability 10-Frequency 11-Distribution RDA Principles Defined in silos or in an integrated environment Empowering the management/board to make decisions with right level of information Controlled level of errors & ambiguities Moving from black box analytics towards open box & transparent analytics environment Resilience in organization to any emerging scenarios Information available on Timely & Need to know basis within near zero time lapse Themes Explained
  • 6. 6 (f) Speed & Confidentiality RDA themes (e) Automation & Adaptation (d) Transparency (c) Reconciliation & Validation (b) Flexibility (a) Materiality 6 Risk Data Aggregation Themes…
  • 7. BCBS-239 IMPLEMENTATION FRAMEWORK (Our Understanding -Totally Integrated-Automation of Risk Data Aggregation & Risk Reporting) Major Themes emerging from BCBS-239 Principles (a) Materiality (b) Flexibility (c) Reconciliation and Validation (d) Transparency (e) Automation & Adaptation (f) Speed & Confidentiality Situation Driven Arrangements Defined in siloed environment External interventions (through vendors/consultants for reporting changes) Disparate Repositories Black Box Analytics Manual Batch-based Reporting Confidential information bypassed from the reports Interim Arrangements (centralization) Framework based definitions Power-user configurable rule based model On-demand drill-down Clarity Single data pool (for all operating units ie branches, regions and HO) Automated monthly/quarterly Reporting Automated daily batch-based reporting Totally Integrated-Automated Environment Systems & Frameworks integrated with the evolving business model and risk profile End user configurable reporting/ Self service BI Risk Aggregation (ie Economic Capital) Model review, validation, monitoring and mitigation based on near real inputs, enabling current/forward looking Risk Intelligence Clarity and Robustness Near-Continuous automated and on- demand reporting Unification of Risk & Accounting Data Confidential information duly included in the reports and confidentiality of reports ensured Current State Target State 7
  • 8. Totally Integrated-Automated Environment • Systems & Frameworks integrated with the evolving business model and risk profile • End user configurable reporting • Risk Aggregation (ie Economic Capital) • Model reviews, validation, monitoring and risk mitigation based on near real inputs, enabling Risk Intelligence • Clarity and Robustness • Near-Continuous automated and on-demand reporting • Unification of Risk & Accounting Data • Confidential information duly included in the reports and confidentiality of reports ensured Benchmarks Development Involves intensive effort to align Benchmarks with the business model and the risk profile of the bank. These benchmarks become the yardstick to measure the level of compliance. 8 TARGET STATE VISUALISATION THROUGH THE BENCHMARKS
  • 9. 9 BENCHMARKS LINKED WITH THE TARGET STATE •Framework/Strategy •Policies •Integrated Risk Processes •Integrated Risk Data •Integrated Risk Systems Infrastructural Maturity Parameters •Ongoing Processing •Exceptions (Regulatory, Audit, Policy etc) •Loss Events Processing & Controls Maturity Parameters BCBS-239 Principles Requirements (87) Interpretation/ Understanding
  • 10. 10 •Framework/Strategy •Policies •Integrated Risk Processes •Integrated Risk Data •Integrated Risk Systems Infrastructural Maturity Parameters •Ongoing Processing •Exceptions (Regulatory, Audit, Policy etc) •Loss Events Processing & Controls Maturity Parameters BENCHMARKS LINKED WITH THE TARGET STATE * Documentation Coverage Quality * Documentation Coverage Quality Compliance Levels Each point assessed against… Each point assessed against… 4-Fully Compliant 3-Largely Compliant 2- Materially Non- Compliant 1-Non Compliant * Each of these parameter to be assessed against the three sub-parameters (ie Documentation, Coverage & the Quality)
  • 11. Benchmarks Working Sheet 11 Principles (2) Requirements RDA Team Interpretation -- Description of Interpretation in terms of Risk/Compliance Capability Maturity Parameters, Benchmarks & Validation Infrastructural Execution Oriented (1-5) (6-7) Level of Compliance Framework/s (Strategy) Policy/ies Process/es Risk Data System/s Ongoing Processing & Execution Exceptions/ Risk-Loss Events Data architectureand IT infrastructure – A bank should design,build and maintain data architectureand IT infrastructurewhich fully supportsits risk data aggregation capabilities and risk reporting practicesnot only in normal times but also duringtimes of stress or crisis, while still meeting the other Principles. 33. A bank should establish integrateddata taxonomies and architectureacross the banking group, which includes informationon the characteristics of the data (metadata), as well as use of single identifiers and/or unified naming conventions for data includinglegal entities, counterparties, customers and accounts. 34. Roles and responsibilities should be established as they relate to the ownership and quality of risk data and informationfor both the business and IT functions. The owners (business and IT functions), in partnership with risk managers, should ensure there are adequate controls throughout the lifecycleof the data and for all aspects of the technology infrastructure. The role of the business owner includes ensuring data is correctlyentered by the relevant front office unit, kept current and aligned with the data definitions, and also ensuring that risk data aggregationcapabilities and risk reporting practices are consistent with firms’ policies. 2. Data architecture and IT infrastructure 1 2 3 4 5 6 7 19 Data taxonomies 1-Integrated data taxonomies across the banking group a-Meta Data b-single identifiers and/or unified naming conventions for data including legal entities, counterparties, customers and accounts 2-Integrated data architecture across the banking group a-Meta Data b-single identifiers and/or unified naming conventions for data including legal entities, counterparties, customers and accounts Documentation: 1 Documentation: 1 Documentation: 1 Documentation: 1 Documentation: 1 Documentation: 1 Documentation: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Coverage: 1 Coverage: 1 Coverage: 1 Coverage: 1 Coverage: 1 Coverage: 1 Coverage: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Quality: 1 Quality: 1 Quality: 1 Quality: 1 Quality: 0 Quality: 1 Quality: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 1 Benchmark: 0 Benchmark: 1 Benchmark: 1
  • 12. Corporate Banking HR Risk Management Operations 12 Integration Automation Aggregation Risk Management Framework & Risk Strategies Risk Management Policies (#) Risk Management Process (#) --Data Items (Data Dictionary) promptly mapped to the Glossary of Business Concepts --Data Maturity Models --Utilization Integrated Platform of Risk Systems Processing of risk management constantly reviewed & Enhanced on ongoing basis Risk of Losses and Exceptions constantly monitored & managed Market Risk Ops Risk Other Risks Credit Risk CRO Dashboard Integrated Data/Information Policies Integrated Systems Integrated Processes Ongoing Processing Exceptions & Losses Frameworks/Strategies Integrated Totally Integrated–Automation… 1-Business/ Risk Areas 3-Parameters/ Modules 2-Themes
  • 13. Totally Integrated-Automated Environment 13 1 2 3 4 1234 Integration Automation HI-HA HI-LA LI-HA LI-LA 2013 2.55 2015 2.65 Approx. 2016 & beyond ? Overall G-SIBS Progress of Results 2 0 1 5 2014 2.58 LA-Low Automation HA-High Automation LI-Low Integration HI-High Integration Full Integration Full Automation
  • 14. BCBS-239 IMPLEMENTATION FRAMEWORK (Our Understanding -Totally Integrated-Automation of Risk Data Aggregation & Risk Reporting) RDARR Capabilities Capabilities Risk Management Capabilities Able to ….. -Identify & Assess Risk -Quantify & Manage Risk - Control & Monitor Risk - Report the Risk Infrastructure & Data Management Capabilities Able to …. - Identify & Describe Data - Stage & Store Data - Provide & Share Data - Integrate & Move Data - Govern & Manage Data Risk Data Aggregation Capabilities Able to…. -Have global consolidated - view of data - view of exposure - view of risk - Adapt to the emerging scenarios Risk Reporting Capabilities Able to provide: - dynamic & multi-dimensional view of risk analytics - scenario based and action oriented analytics - entity plus group wide view of risk analysis - top down and bottom up risk steering START Situation Driven Arrangements Interim Arrangements Totally Integrated- Automated Environment 14
  • 15. BCBS-239 IMPLEMENTATION FRAMEWORK (Our Understanding -Totally Integrated-Automation of Risk Data Aggregation & Risk Reporting) START Situation Driven Arrangements Interim Arrangements Totally Integrated- Automated Environment Principles/ Frameworks Risk Management Capabilities Infrastructure & Data Management Capabilities Risk Data Aggregation Capabilities Risk Reporting Capabilities P r i n c i p l e s / F r a m e w o r k s Risk Governance Data Governance Aggregation Governance Reporting Governance P r i n c i p l e s / F r a m e w o r k s Risk - IT Infrastructure Data - IT Infrastructure Aggregation - IT Infrastructure Reporting - IT Infrastructure Risk Architecture Data Architecture RDA Architecture Reporting Architecture Basel Principles of Sound Risk Management& Corporate Governance DAMA Data Management Maturity (DMM) Model Data Management Capability Assessment (DCAM) Model …. Accuracy & Integrity Accuracy Completeness Comprehensiveness Timeliness Clarity & Usefulness Adaptability Frequency Distribution
  • 16. EMBEDDING INTO BIGGER REPORTING FRAMEWORK 16 Basic Cubes ‘Input Layer’ Data Dictionary Smart Cubes ‘Output Layer’ Aggregated Bank, Regulatory, National Needs Templates Aggregation Loans Securities Integrated Data Dictionary https://www.bis.org/ifc/events/ifc_isi.../010_turner_presentation.pdf
  • 17. 17 Consumers Devil lies in Data CHANGE NEEDS TO BE REAL….
  • 18. 18 1. Internal reports need to be covered comprehensively encompassing the regulatory content as well. 2. Focused on integrating & automating the reports. 3. An investment for the future. 4. Regulators need to be intensively engaged in this exercise. 5. BCBS-239 being a principle-based requirement does not provide a standard implementation roadmap & benchmarks and thus leave it to the banks. 6. BCBS-239 does not draw out target state for the banks and leaves it to them in terms of their business model & risk profile? 7. Progress documents (ie BCBS-268, 308 & 348) does not reflect the themes to be followed. 8. Low score on the part of banks is a cause of concern to withstand the ‘future financial crises’ BCBS-239 Related Questions & Challenges - Our answer..
  • 19. 19