Data Fusion involves combining data from multiple facilities (x-ray through optical and infrared to radio), to understand the total energy output of astronomical objects and galaxies in particular. This data fusion process is vital to estimate robust distances (e.g., photometric redshifts), estimate accurate stellar masses (and other physical properties), and to assess the dynamical state of the objects we’re studying (e.g., merger and structure). However, to perform data fusion on millions of objects over hundreds of thousands of square degrees, requires addressing issues such as mismatched resolutions and sensitivities, footprint coverage and variable point-spread functions. Critically producing reliable robust measurements cannot be achieved in catalogue space, and but needs to be done at the pixel level. With many modern facilities now advocating a “bring your compute to the data” approach, this may actively present a serious barrier to multi-facility science. In this talk we will illustrate the problems and barriers, highlight how important data fusion is through examples from the Galaxy And Mass Assembly (GAMA) and Wide Area VISTA Extragalactic Survey (WAVES), and advocate for a global international capbility that can bring diverse pixels to the compute to enable data fusion from x-ray (eROSITA) to ultraviolet (GALEX), optical (LSST), infrared (Roman, Euclid, WISE, Herschel) and radio (ASKAP, MWA).