  Compressive analysis is the name given to the family of techniques that map
raw data to their smaller representation. Largely, this includes data
compression, data encoding, data encryption, and hashing. In this paper, we
analyse the prospects of such technologies in realising customisable individual
privacy. We enlist the dire needs to establish privacy preserving frameworks
and policies and how can individuals achieve a trade-off between the comfort of
an intuitive digital service ensemble and their privacy. We examine the current
technologies being implemented, and suggest the crucial advantages of
compressive analysis.
