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Business optimization research
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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.
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Portfolio risk management is a computation-intensive area where we use predictive
modeling and stochatic optimization techniques to identify and assess risk drivers
of projects portfolios and their financial impact on an enterprise.
We started this work about two years ago as a pilot with BCS EMEA (our internal
customer). We are now working with the BTE organization to broaden the business
and geography scope of the project.
We are also starting a project with ING Bank (The Netherlands). In this project
we will use Deep Computing technology to help ING benchmark and prioritize its
IT investments.
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