We have deep expertise in mathematical algorithms and techniques such as quantitative risk analysis, multi-criteria decision making, constrained optimization, market and sentiment analysis, security threats detection to decipher patterns from large sets of data and apply those insights to solve various business problems such as detection of fraud in a loan application and conduct investigations ranging from employee fraud to data security breaches. Some examples of our work include predicting failures along a pipeline for a large pipeline operator in North America and provide a Canadian telecom company with insights for targeting customers at risk of flight so they can be retained by providing timely customized promotions. This expertise would be extremely helpful to decipher patterns for any complex data or information initiative.