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Stress Testing in the News

American Banker
April 16, 2014

What 2014's CCAR Results Mean for Banks in 2015>>

Wall Street Journal
April 16, 2014

Citigroup Received Mixed Signals On 'Stress Test'>>

American Banker
April 14, 2014

Citi Faces Mounting Tab to Fix Regulatory, Operational Issues>>

American Banker
April 14, 2014

'Heightened Expectations' Don't Apply to Small Banks: OCC's Curry>>

American Banker
April 2, 2014

Stress-Test Snag Clouds Timing of RBS Citizens IPO>>

The Economist
March 29, 2014

A handful of banks are caught short by the Fed’s annual stress test>>

US Today
March 27, 2014

Citigroup sinks 5% after failing Fed 'stress test'>>

New York Times
March 27, 2014

Failing Stress Test Is Another Stumble for Citigroup>>

American Banker
March 26, 2014

Fed Rejects Capital Plans of Citi, Four Others>>

American Banker
March 24, 2014

Fed Revises Dodd-Frank Stress Test Results>>

Forbes
March 24, 2014

Fed Stress Test For Banks: Rationale, Results & Implications>>

The Street
March 24, 2014

Bank of America Downgraded Following Stress Tests>>

American Banker
March 21, 2014

Fed's Dodd-Frank Stress Test Results a Mixed Bag for Banks>>

Wall Street Journal
March 21, 2014

Fed 'Stress Test' Results: 29 of 30 Big Banks Could Weather Big Shock>>

Reuters
March 20, 2014

All big U.S. banks but one pass Fed's health test>>

Forbes
March 19, 2014

Wall Street's March Madness: What To Know About Bank Stress Tests>>

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Monday, May 19, 2014

10:45 a.m. - 11:30 a.m.

DATA QUALITY & GOVERNANCE

Ed Page, Managing Director, Financial Services Industry IT Practice Leader, PROTIVITI
Douglas A. Skinner, Director of Regulatory Compliance, AUTOMATED FINANCIAL SYSTEMS, INC. (AFS)
Lori Halfacre, Director, Corporate Systems, FISERV
Gregg Barrow, Director, PROTIVITI

A critical component of stress testing is the use of high quality data.  It not only allows us to report using correct and optimized numbers, but also to meet regulatory requirements.

This session will focus on the complexity and dynamics of data governance, strong data quality and robust data management. Topics will include:

  • Required commitments to organization, policy and procedures, process understanding, measurement, reporting and remediation;
  • The need for flexibility when shifting business priorities and regulatory requirements demand constant focus and the ability to adapt to changing environments;
  • The Importance of utilizing innovative data quality measurement tools to drive continuous improvement in underlying data;
  • Including the entire organization in data quality efforts, coordinating across multiple functions and business lines.

 

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