Credit Risk Analysis Software - Credit Quality Solution

The Leader in Credit Risk Management Technology



DiCom Software's comprehensive product suite—Credit Quality Solution - CQS - is the preferred choice of some of today's most progressive credit risk personnel at banks ranging from $300 million to more than $180 billion in assets.


Identify risks in your Loan Portfolio with The Leader in Credit Risk Management Technology. Credit Quality Solution (CQS) from DiCom Software is a comprehensive product that provides complete Portfolio Analysis, Loan Review, and Portfolio Management. CQS allows your bank or financial institution to isolate individual risk pools from a variety of segments. This will allow your business to save time, money, resources and will make you more profitable by reducing your financial risk.


That's because our clients are achieving tangible, measurable results:
  • Increased portfolio coverage
  • Improved asset quality
  • Dramatic efficiency improvements
  • Reduced loan losses
  • Shorter, more efficient regulatory exams
  • Reduced risk
  • Improved credit risk management
DiCom clients confidently perform their jobs—from concentration and risk pool analysis, to portfolio management and loan review—knowing they have the best tools in the industry to manage every aspect of credit risk for their entire organization. Our credit risk management solutions are built by credit risk professionals for credit risk professionals.

That’s why we understand the monumental task of managing credit risk for the overall health of your institution. We know we are succeeding because our clients consistently tell us that they have improved credit quality and reduced loan losses.

 
News & Articles
DiCom Announces Portfolio Stress Testing

DiCom Announces BBVA Compass Licenses CQS

Ohio Community Banker article, March 09:
Proactive Portfolio Management; Looking Ahead Can Help Your Bank Survive and Thrive...

Credit Quality Bulletin, September 08:
Proactive Portfolio Management

Commercial Lending Review article - September 2008 - "Best Practices of Data Driven Risk Management
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