Business optimization research

Organizations must constantly adapt to rapidly changing business requirements and increasing cost pressure. They need to optimize their business processes to allocate scarce resources more efficiently. In today's businesses, many processes are complex. Accurate data for optimization efforts is sometimes lacking, and potential investments can be highly risky. Customers need our assistance to optimize their processes and make quantitative simulations and predictions. Using our skills in predictive modeling, stochastic optimization, portfolio theory, and simulation, we provide our customers with highly customized solutions which address their business needs.
Projects Portfolio risk management Customer value modeling for customer relationship management Medical decision support BCS project portfolio risk management Joint projects with clients and partners	Contact Abderrahim Labbi
Using services project data from a BCS EMEA project-tracking database, we built a prototype decision support system for services portfolio risk management. It provides individual project profiling and health/profitability predictions as well as an overall project portfolio view in terms of risk and returns. The system integrates advanced algorithms combining predictive modeling, stochastic optimization, and Monte Carlo simulation techniques. The performance of the system has been verified using historical data on the project portfolio, and yields a predicted average gross profit margin deviation of 2% versus 10% with the current pricing system.