Solving the Dynamic Complexity Dilemma: Predictive and Prescriptive Business Management: Answering the Need for a New Paradigm

Solving the Dynamic Complexity Dilemma examines the growing business problem of dynamic complexity and presents a path to a practical solution. To achieve better predictability, organizations must be able to expose new, dangerous patterns of behavior in time to take corrective actions and know which actions will yield the optimal results. This book promotes new methods of risk management that use data collection, analytics, machine learning and automation processes to help organizations more accurately predict the future and take strategic actions to improve performance outcomes. The presented means of achieving this goal are based upon the authors' practical experiences, backed by scientific principles, and results achieved through consulting engagements with over 350 global organizations.

Dr. Nabil Abu el Ata is the founder of Accretive Technologies and has invested over 20 years maturing the science and practical application behind the company's solution offering with over 15 patents. In the late 1970s Dr. Abu el Ata's mathematical discoveries provided accurate coordinates for space exploration. By solving a problem that was previously defined as unsolvable, Dr. Abu el Ata set the foundation for a new era of risk management, termed Optimal Business Control (OBC), which today enables companies to more accurately predict the future and take strategic actions to improve business outcomes. Dr. Abu el Ata's accomplishments include doctorate (Ph.D. and D.Sc. from Paris-Sorbonne) and B.S. in Mathematics and M.S. in Physical Sciences (Royal Observatory, Sussex-Cambridge Universities).  He is a former Doctorate Fellow of the European Space Organization; former Data Processing Director and Advisor for the French Atomic Energy Authority; former CTO of First Data; an External Professor for a number of universities in France, the UK, and the US; and Laureate of Computer World Honors 2008.


Dr. Maurice J. Perks is a visiting professor of IT Integration at the University of York. He joined IBM in 1968 as a Systems Engineer. During his tenure as an IBM employee (1968-2010) he attained the level of IBM Fellow and specialized in the design of IT systems for large organizations. Dr. Perks is noted for his methodological approach, which helps to understand and assess the complex­ity of systems, and his ability to apply that knowledge to design and modify complex sys­tems. He is currently working to promote under­standing of modern IT systems complexity, and is bringing new ways of combining the triangle of business knowledge, IT knowledge and mathematics to this challenge. He is a great believer in the increased use of modeling and simulation to help tame the growing challenges that business and IT change pose.