The authors address the problems of analyzing experimental data obtained from magnetic disaccommodation measurements in order to extract information about the nature of the underlying phenomena. Some data processing methods commonly used in this type of investigation are reviewed, and novel techniques aimed at the optimization of the signal-to-noise ratio, the separation of overlapping modes and the determination of the relaxation parameters are discussed. The analysis strategies are divided into two groups: correlation techniques, characterized by different weighting functions and transform techniques, based on the use of the Fourier and Laplace transforms. As an example application, the relaxation process III in a vacancy-doped magnetite sample is analyzed. >