Value Chain has been considered as a key model for managing efficiently value creation processes within organizations. However, with the digitization of the end-to-end processes which began to adopt data as a main source of value, traditional value chain models have become outdated. For this, researchers have developed new value chain models, called Data Value Chains, to carry out data driven organizations. Thereafter, new data value chains called Big Data Value chain have emerged with the emergence of Big Data in order to face new data-related challenges such as high volume, velocity, and variety. These Big Data Value Chains describe the data flow within organizations which rely on Big Data to extract valuable insights. It is a set of ordered steps using Big Data Analytics tools and mainly built for going from data generation to knowledge creation. The advances in Big Data and Big Data Value Chain, using clear processes for aggregation and exploitation of data, have given rise to what is called data monetization. Data monetization concept consists of using data from an organization to generate profit. It may be selling the data directly for cash, or relying on that data to create value indirectly. It is important to mention that the concept of monetizing data is not as new as it looks, but with the era of Big Data and Big Data Value Chain it is becoming attractive. The aim of this paper is to provide a comprehensive review of value creation, data value, and Big Data value chains with their different steps. This literature has led us to construct an end-to-end exhaustive BDVC that regroup most of the addressed phases. Furthermore, we present a possible evolution of that generic BDVC to support Big Data Monetization. For this, we discuss different approaches that enable data monetization throughout data value chains. Finally, we highlight the need to adopt specific data monetization models to suit big data specificities.

中文翻译：

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大数据价值链中的大数据货币化：全面回顾

价值链被认为是在组织内有效管理价值创造过程的关键模型。但是，随着端到端流程的数字化开始采用数据作为主要价值来源，传统的价值链模型已经过时。为此，研究人员开发了新的价值链模型，称为数据价值链，以开展数据驱动型组织。此后，随着大数据的出现，出现了称为大数据价值链的新数据价值链，以应对与数据相关的新挑战，例如高容量，高速度和多样化。这些大数据价值链描述了依靠大数据来提取有价值的见解的组织内部的数据流。它是使用大数据分析工具的一组有序步骤，主要用于从数据生成到知识创造。大数据和大数据价值链的进步，采用了清晰的流程来汇总和利用数据，从而产生了所谓的数据货币化。数据货币化概念包括使用组织的数据来产生利润。它可能直接以现金出售数据，或依靠该数据间接创造价值。值得一提的是，通过数据货币化的概念并不像它看起来的那么新，但是随着大数据和大数据价值链的时代，它变得越来越有吸引力。本文的目的是对价值创造，数据价值和大数据价值链的不同步骤进行全面回顾。这些文献使我们构建了一个端到端详尽的BDVC，以重新组合大多数已解决的阶段。此外，我们提出了通用BDVC可能支持大数据货币化的发展。为此，我们讨论了使整个数据价值链中的数据货币化的不同方法。最后，我们强调需要采用特定的数据货币化模型来适应大数据的特殊性。