A diabetic is a fast growing disease in the world so prediction of diabetics is so important for quick decision making. The data mining techniques are used for analysis of medical database. The one of the data mining technique is statistical methods which is playing a major role for analysis and prediction of diabetics in accurate manner. The factor analysis is a method of reducing huge variables into lesser number of factors. It extracts the maximum common variances from all the variables and puts into the common variables. These common variables are used for further analysis. The factor analysis of dataset will give an effective outcome or better result to predict and also diagnose the diabetes disease. This paper focused on increasing the quality and accuracy of knowledge for diabetes disease treatment. © 2019 Elsevier B.V., All rights reserved.