Big Data Value Chain: A Unified Approach for Integrated Data Quality and Security

Big Data has grown significantly in recent years. This growth has led organizations to adopt Big Data Value Chains (BDVC) as the appropriate framework for unlocking the value to make suitable decisions. Despite its promising opportunities, Big Data raises new concerns such as data quality and security that could radically impact the effectiveness of the BDVC. These two essential aspects have become an urgent need for any Big Data project to provide meaningful datasets and reliable insights. In this contribution, we highlight the importance of considering data quality and security requirements. Then, we propose a coherent, unified framework that extends BDVC with security and quality aspects. Through quality and security reports, the model can self-evaluate and arrange tasks according to orchestration and monitoring process, allowing the BDVC to evolve at the organization pace and to align strategically with its objectives as well as to federate a sustainable ecosystem.