Market analysis, optimizations, scenario analysis and decision-making can be enhanced through mathematical and statistical methods. DBTC applies rigorous analytics to understand patterns and to gather insights into the operations of a system. DBTC experts use analytics for analyzing demand-supply dynamics, pricing, market side optimizations and portfolio analysis, to name a few. We use predictive analytics to forecast future behavior and outcomes.

DBTC uses a variety of mathematical techniques as a part of its analytics practice. Some of the indicative areas are:

•  Regression models
•  Time series
•  Experimental designs
•  Multivariable statistical process control
•  Clustering and segmentation models
•  Machine learning

DBTC uses industry standard platforms like R, SAS, Mathematica and MATLAB as the model execution engines.