Big data analytics and intelligent decision making systems are gaining importance in today’s era. Applications of such systems are wide spread and have changed major areas of human living. Even medical domain is being revamped by these systems. Now intelligent systems predict or suggest the diagnosis based on history of the patient. Early predictions for critical disease like diabetes are very much possible. This review gives a brie insight to such systems with focus on diabetic patients. Survey shows it can also help out to point out the various risk factors that can alarm the scenario well in time. The intension of the paper is to analyze how data mining can be helpful in such early diagnosis of diabetes as well as to see how different researchers has used this techniques for better predictions.