This article presents a novel concept of big data reduction at the customer end in which
early data reduction operations are performed to achieve multiple objectives, such as (a) lowering the service utilization cost, (b) enhancing the trust between customers and enterprises, (c) preserving privacy of customers, (d) enabling secure data sharing, and (e) delegating data sharing control to customers.
We
also propose a framework for early data reduction at customer end and present a business model
for
end-to-end data reduction in enterprise applications. The article further presents a business model
canvas
and
maps the future application areas with its nine components. Finally, the article discusses the
technology
adoption challenges for value creation through big data reduction in enterprise applications.