The seminar introduces the participant to the dangers of not having up-to-date, clean, and available data in order to make risk management decisions, and a remedial path to achieving the best possible assurance of accurate data.

 

At the end of Intrinsic Value's training seminar in enterprise information risk the participant should be able to:

􀂅  Describe  the  dangers and risks inherent in risk models, transparency, and

     risk monitoring, of having poor risk information.

􀂅  Explain some of the causes of poor data.

􀂅  Construct a clear plan for solving the problem of data quality.

􀂅  Demonstrate an understanding  of the 8 criteria, and priorities for analyzing

     data.

􀂅  Explain,   and   demonstrate,    the    need   for   holistic   Risk   Information 

     Management Environments.

􀂅  Describe the 7  components  of  a  Data  Management  Framework,  and  a

     Logical Data Model.

􀂅  Discuss the 5  Critical  Success Factors of implementing a Risk Information

     Management Environment.

􀂅  Identify the 4 components of AS-IS to TO-BE environments.