SiDi : System integration and Design informatics LabAnalysis of customer behavior to aid product development Research to create a predictive model that determines the customer preference pattern in choosing a product (automobile), by considering different attributes such as price, make, horsepower, cylinders etc. Exponential random graph model with R programing is being used.Analysis of community-based digital manufacturing systemsAnalyzing 3DHub network data to generate a predictive model that determines the best location for future 3D Hub’s network. Used Python selenium for data mining. Different data analysis concepts are explored to check the feasibility of model. Imparting strategical attributes in predictive model is major part of the research.