The Costs of Bad Data

• An examination of the determinants of data quality and their impact on the global financial markets in terms of performance and profitability
• Includes the development of a data quality taxonomy and a methodology to establish data quality cost, value loss and risk exposure attributes
• Project to lead to the development of data quality assessment & root cause tools, predictive analytics & remediation technology, industry standard data quality measures, benchmarks & peer universes
• Previously inaccessible source data to be provided by financial exchanges, banks, utilities, and other industry constituencies

Project to be done in collaboration with Adaptive Alpha partner, Michael Mainelli, Founder and President of Z/Yen