An Audit Framework for Data Lifecycles in a Big Data context

Abstract

Data management is becoming increasingly difficult for businesses especially with the proliferation of cloud computing and the increasing needs in analytics for big data such as data generated by the Internet of Things. Indeed., tasks such as data collection., analysis., or visualization become very complicated for companies that have difficulty identifying the data lifecycle that fits their data usage context and that also allows to transform this data into knowledge. To deal with this situation and in order for companies to be able to identify the most appropriate cycle for their context or even improve it., they must be able to evaluate it to determine its advantages and disadvantages. The contribution of this paper is part of this perspective to help companies choose their data lifecycle. In this sense., we have designed an audit framework for data lifecycles. This framework could constitute an efficient guide for companies to evaluate their Big data lifecycles.