Business processes are redesigned as a part of business process management lifecycle and data intensive activities such as image processing, prediction and classification are increasingly incorporated into business processes. Data intensive activities often involve usage of data analysis models. It is argued that successful development and execution of data intensive business processes requires synchronization of business process redesign and data analysis models development activities. The business process architecture integrating core business process with data analysis model setup and updating sub-processes is developed. Business process transformation stages for incorporating data-intensive activities are outlined. The process redesign and execution is supported by the technical architecture based on microservices. An example of business process redesign is discussed.