The value of data can be greatly enhanced if the data are available at the right location and in a timely fashion. This can be a particular challenge for the often considerable volume of data collected using distributed measurements such as Distributed Temperature Sensing (DTS) and Distributed Acoustic Sensing (DAS). In this paper we describe a novel solution using multiple levels of data reduction yielding data of different sizes and fidelity. These are then transmitted for viewing at the wellsite, in real time at a remote location, or subsequently for post-job evaluation. This approach is demonstrated using a case study of a well stimulation operation from the United States.