This chapter describes the power of combining experimental data from multiple probes in attempting to address some important current scientific issues facing us today, answer fundamental questions about the world around us, and seize new opportunities in pushing the limits of materials design. In this regard, the role of computer simulation takes on a prominent role and is central for developing realistic models covering a range of length scales. The goal is to push toward finding a common concept connecting a material's atomic and microscopic structure to its macroscopic properties and function. To achieve this, a strong appreciation of what exact information each individual probe measures and a precise knowledge of a technique's strengths, pitfalls, and possible sources of error are all needed in order to usefully combine data from multiple measurements. Consequently, the comprehensive explanations of each technique described in the preceding chapters of this book provide an invaluable resource to experimenters if data from multiple data sets are to be successfully combined.