We identify the relevant data requirements and sources for a given project. Next, the data is cleaned, standardized, normalized and made suitable for analysis. Customized models and processes are then built to sort and analyze data. The models are regularly updated to keep up with the improved quality of data obtained through the various prior stages of modeling. Various algorithms are experimented with and the best fit algorithm is applied to the process data. The deliverables include the results of the analysis and simulation, inferences, conclusions and business process recommendations

Big Data

Tools and technologies are generating and capturing data continuously. Now businesses can think of leveraging this big data for competitive advantages. Simulytics analyses Big data in supply chain functions that can be used to enhance operational efficiencies and reduce costs.