Information professionals are working in a proverbial fishbowl, always under watchful scrutiny. Increases in regulations, data standards, and competitive environments, coupled with an explosion of information and data assets across the organization, have led to significant challenges in the world of information. Financial regulations such as Basel III are redefining the control landscape. The Affordable Care Act, and extensions within HIPPA, are redefining Healthcare. Data Governance is maturing into Information Governance based on further expansions into business operations, legal, records management, information security and an awareness of the need to focus on derived information over pure data. Against this backdrop, CXO executives are demanding more and more controls prior to automating financial or industry reporting to provide assurance that information is accurate. This webinar explores the nature of Information Governance controls and how the controls can lead to operational efficiencies and reduction of multiple enterprise risk factors. This webinar will provide an overview of: The emergence of Information Governance The nature of typical information landscape across an organization The definition and need for Information Governance Controls How Information Governance Controls drive operational efficiency and risk reduction Critical success factors to integrated controls into overall Information Governance frameworks

1. www.cdovision.com
Moderator: Tony Shaw
CEO, DATAVERSITY
Speaker: Steve Zagoudis
CEO
MetaGovernance Inc.
#CDOVision

2. The Need for Information Governance Controls
Steven Zagoudis
MetaGovernance®
Incorporated

3. 2
• Information as a corporate asset
• Regulations requiring content
integrity
• Competitive pressures for
efficiency
• Governance has moved to the
Boardroom
Corporate Trends
Corporate Information Issues
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4. Corporate Data and Information Issues
3
Corporate
System
SALES=$4.6M
Operational
System
SALES=$4.5M
Sales
System
SALES=$4.7M
Overlapping
Transaction
Systems
Internal Reports
and External
Disclosures that
don’t agree
Spreadsheets
and Access
Data Bases
Inconsistent
Data
Repositories
MetaGovernance Incorporated. All Rights Reserved. 2014

5. Many Versions: Which is Correct?
4
Sales ReportRegulatory
Reports
SEC
Reports
Operational
Reports
Spreadsheet
$4.5M $4.4M $4.6M $4.7M
Corporate
System
SALES=$4.6M
Operational
System
SALES=$4.5M
Sales
System
SALES=$4.7M
General
Ledger
SALES=$4.6M
Data
Warehouse
SALES=$4.5M
SALES=$4.4M
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6. Status Quo Is No Longer Sustainable
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Sarbanes
Oxley
Basel III
Untrusted
Data
Warehouses
Proliferation of
Spreadsheets
Unsustainable
Data Governance
Redundant
IT Systems
Audit
Standards
Affordable
Care Act
TIME
DATAQUALITY
HIPPA
Medicare
Standards
Dodd-Frank
Basel II
Increasing
Oversight

7. Evolving Disciplines Move Closer to the Business
6
Manual
Controls
Spreadsheet
Controls
Data
Controls
Reporting-
Layer
Controls
Enterprise Data
Management
(1995+)
Data
Governance
(2005+)
Enterprise
Information
Management
(2008+)
Information
Governance
(2012+)
Metadata
Governance
(2014+)
Emerging Focus
Information
Management
Trends
Data
Control
Trends
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8. 7
Data
ContextGovernance
Data
Governance
Database
Data
Definitions
Tables
Columns
Systems
Data
Quality
Domain
Values
Data
Models
Big
Data
Data
Stewards
Data
Controls
Data
Procedures
Data
Policies
Data
Ownership
Data
Standards
Operational
Units
KPIs CSFs
Finance
Accounting
Reporting
Disclosure
Metadata
Data Values
MetaGovernance Incorporated. All Rights Reserved. 2014

9. The Scope of Information Governance is
much broader than a focus on data assets
• Data are raw assets produced and available for
consumption by business operations.
• Information is created by putting this raw data into
business context (via the Business Architecture).
• Information become the true asset of the organization.
• Information Governance is the control and oversight of
these information assets.
• Information is the true knowledge base of the
organization that must be protected and managed.
• There may someday be an evolution to Knowledge
Governance in line with the works of Dee Hock.
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10. 9
Content
ContextGovernance
Database
Data
Definitions
Tables
Columns
Systems
Data
Quality Domain
Values
Data
Models
Big
Data
Data
Stewards
Data
Controls
Data
Procedures
Data
Policies
Data
Ownership
Data
Standards
Operational
Units
KPIs
CSFs
Finance
Accounting
Reporting
Disclosure
Metadata
Information
Governance
Data Values
Data
Governance
Legal
Compliance
Security
Retention eDiscovery
Records
Email
Derived
Info
Social
Media
UDAs
Regulations Information
Controls
Audit
Privacy
Value
Mapping
Archives
Transparency
Automation
Decision
Support
Digital
Signatures
Risk
Documents
Websites
DisclosuresPatents
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11. What is needed is a clear
understanding of the sources
and uses of information
across the enterprise…
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12. Key Information Governance Terms
Information
Steward
(Owner/SME)
Information
Delegate
Information
Custodian
Information
Consumer
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13. The Information Governance Awareness Map
12
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14. 13
The need for Information Governance Controls – Inconsistent data sources across departments
DepartmentalUsage
Business
Applications
Business
Application
Databases
(Transactional)
Business
Application
Databases
(Reporting)
Phase
Loan System
Credit
Underwriting
System
General
Ledger
System
Loan DB Credit DB
Loan DW Credit DW
Enterprise
DW
Accounting
.XLS
• Credit
• Accounting
• Treasury
• Credit
• Risk
• Compliance
• Marketing
• Sales
• Audit
• Accounting
GL DB
Manual
Updates
Applied
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15. 14
The need for Information Governance Controls – Inadequate Controls
DepartmentalUsage
Business
Applications
Business
Application
Databases
(Transactional)
Business
Application
Databases
(Reporting)
Phase
Loan System
Credit
Underwriting
System
General
Ledger
System
Loan DB Credit DB
Loan DW Credit DW
Enterprise
DW
Accounting
.XLS
• Credit
• Accounting
• Treasury
• Credit
• Risk
• Compliance
• Marketing
• Sales
• Audit
• Accounting
GL DB
1 3
2 4 5
Control Descriptions:
1. Data movement job status only – Pass/Fail
2. Record counts Loan-to-EDW
3. Record counts Credit-to-EDW
4. Data movement job status only – Pass/Fail
5. Account totals – GL-to-EDW
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16. What is wrong with this picture?
• Departments are pulling data from different systems.
• Data is inconsistent because manual updates are being
applied “downstream”.
• Departments get different views of the data depending
upon from where they pull the data.
• Controls between the system are not validating content –
only record counts.
• Some data flows have no controls implemented.
• Reports and disclosures will be inconsistent across the
enterprise.
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17. The Popular (Mis)conception of Automated Reporting
Data
Warehouse
Warehouse
Updates
Call Reports
Income Tax Filings
SEC Filings
General
Ledger
Loan 1
Loan 2
CRM
Derivative
Data
Sources
16MetaGovernance Incorporated. All Rights Reserved. 2014

18. A different story comes to light when following
the true Information Flow of the Company
Data
Warehouse
Warehouse
Updates
SEC Filings
17
General
Ledger
Loan 1
Loan 2
CRM
Derivative
Data
Sources
Call Reports
Income Tax Filings
Data Extracts
MetaGovernance Incorporated. All Rights Reserved. 2014

19. A different story comes to light when following
the true Information Flow of the Company
Data
Warehouse
Warehouse
Updates
SEC Filings
18
General
Ledger
Loan 1
Loan 2
CRM
Derivative
Data
Sources
Call Reports
Income Tax Filings
Data Extracts
MetaGovernance Incorporated. All Rights Reserved. 2014

20. Source
Data Base
Spreadsheet Spreadsheet
Marketing Operations Accounting
A
Regulators and Auditors
Spreadsheet
Checkersand
Verifiers
19
B C
Data
Mart
Data
Mart
Spreadsheet Spreadsheet
GL
Spreadsheet Spreadsheet Spreadsheet
A B C
IT Data
Patches
Executive Management
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21. A Reconciliation Control
Framework® is needed to
break this cycle of risk and
waste…
20MetaGovernance Incorporated. All Rights Reserved. 2014

22. 21
The need for Information Governance Controls – Improved Controls to verify meaningful content
DepartmentalUsage
Business
Applications
Business
Application
Databases
(Transactional)
Business
Application
Databases
(Reporting)
Phase
Loan System
Credit
Underwriting
System
General
Ledger
System
Loan DB Credit DB
Loan DW Credit DW
Enterprise
DW
Accounting
.XLS
• Credit
• Accounting
• Treasury
• Credit
• Risk
• Compliance
• Marketing
• Sales
• Audit
• Accounting
GL DB
1 3
2 4 5
Control Descriptions:
1. Accrued Interest, Outstanding Principle Loan-to-Loan DW
2. Accrued Interest, Outstanding Principle Loan-to-EDW
3. Total Outstanding Exposure, Customer LTV value Credit-to-Credit DW
4. Total Outstanding Exposure, Customer LTV value Credit-to-EDW
5. Account totals, GL Hierarchy totals – GL-to-EDW
7
6
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23. A Reconciliation Control Framework®
Transactional Systems
(Sub-ledgers)
“A”
General Ledger
System
“B”
Reporting Systems
(Data Warehouses)
“C”B=C?
Total Loan Balance =
$145,975,550.00
Total Loans by Division
East = $125,000,300.00
West = $ 20,975,250.00
Total = $145,975,550.00
Account 12124-321-01
(Loans) Balance =
$145,975,550.00
MetaGovernance Incorporated. All Rights Reserved. 2014

24. Information Governance Controls Validate
Content Across the Entire Information Flow
Data
Warehouse
Warehouse
Updates
SEC Filings
23
General
Ledger
Loan 1
Loan 2
CRM
Derivative
Data
Sources
Call Reports
Income Tax Filings
Sub-Ledger
Systems
General Ledger
System
Financial Data
Warehouse
Control Status
Loans $45,123,567 $45,123,567 $45,123,567 Balanced
Payments $66,543,123 $65,876,891 $67,543,888 Variance
Investments $100,321,111 $100,321,111 $100,321,111 Balanced
Data Corrections
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25. 24
• Automation of Manual Data Validation
• Elimination of Redundant Reporting Efforts
• Reduced Remediation
Costs
• Automated Software
Testing
Resulting Gains in Operational Efficiency…
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26. 25
• Business Decisions Based on
Good Data
• Financial Statement Accuracy
• Clean Audit Reports
• Improved Regulatory Rating
• Reduced Reputation Risk
RISK
MANAGEMENT
…and Reduction in Enterprise Risk
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27. For additional information contact:
Steven Zagoudis
stevez@metagovernance.com
(404) 593-1601
www.metagovernance.com
Questions?
26