To highlight the core value and advantages of the whole process engineering consulting, it is necessary to overcome the inefficiency of data exchange among multi-participants, multi-stages, and multi-disciplines to realize data synergetic management. By analyzing the data classification and exchange demands as well as data synergetic management problems encountered in whole-process engineering consulting projects, the present paper proposes a data collaborative analysis framework from the perspective of WSR, and suggests to establish an entity centralized data synergetic management mode based on "a set of digital base platforms, a data collaborative management organization, and a set of collaborative management mechanisms", which can provide a useful reference for whole process engineering consulting data management of industry peers。