Temporal Big Data Analytics in Organizations

Abstract

The study of temporal big data analytics represents an increasingly critical area within organizational science, shaped significantly by the rapid advancements of digital transformation and the pervasive use of data-driven decision-making approaches. This book, Temporal Big Data Analytics in Organizations, seeks to bridge theoretical understanding and practical application of temporal big data analytics, addressing the pressing need for organizations to effectively leverage temporal data to gain strategic insights and competitive advantage. In recent years, the dimension of time has emerged as a vital element in the analytics field, profoundly influencing how organizations approach data management, strategic planning, and decision-making processes. Despite considerable progress in big data technologies and methodologies, the temporal aspect has often been overlooked or inadequately integrated. This book fills this gap by providing a comprehensive theoretical framework, complemented by empirical insights, to illuminate the role and significance of temporality in analytics. A central objective of this book is to provide readers – scholars, industry practitioners, and policymakers alike – with robust, practical frameworks and tools that facilitate the implementation and utilization of temporal big data analytics in various organizational contexts. The insights offered here are intended to stimulate further research and innovation in this dynamic area, encouraging a deeper appreciation of the temporal dimensions that influence analytical effectiveness and organizational performance. The book is structured as follows: Chapter 1 contains introductory remarks; Chapter 2 discusses the concepts of big data and of big data analytics; in Chapter 3 temporal issues of big data analytics are presented; Chapter 4 presents organizations’ needs in the big data context; Chapter 5 discusses maturity models for big data adoption, while Chapter 6 contains the new Temporal Big Data Analytics Maturity Model; in Chapter 7 guidelines for implementing temporal big data analytics in organizations are shown; Chapter 8 contains concluding remarks. The author’s original contributions to scientific research include his proprietary maturity model and a methodology for implementing big data analytics in organizations.