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Jinhai Chen, Siheng Chang, Pengfei Zhang, Qiong Chen, Peng Peng and Christophe Claramunt
Big Data Analytics (BDA) provides valuable opportunities for the optimization of maritime shipping management and operations. This might have a significant and beneficial impact on the Chinese maritime industry, which has recently emerged as a prominent ...
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Mouhib Alnoukari
Big data and big data analytics have been considered to be a disruptive technologythat will rebuild business intelligence. The purpose of this study is to enrich the literature onthe organizational impact of business intelligence and big data based on ma...
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Sanjay Jha, Meena Jha, Liam O?Brien, Michael Cowling and Marilyn Wells
Big Data can help users attain a competitive advantage, and evidence suggests that by utilising Big Data, organisations can generate insight that can help strengthen their decision-making capabilities. However, a key issue remains that much data is trapp...
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Suriya Priya R. Asaithambi, Ramanathan Venkatraman and Sitalakshmi Venkatraman
Highly populated cities depend highly on intelligent transportation systems (ITSs) for reliable and efficient resource utilization and traffic management. Current transportation systems struggle to meet different stakeholder expectations while trying the...
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Ifeyinwa Angela Ajah and Henry Friday Nweke
Big data and business analytics are trends that are positively impacting the business world. Past researches show that data generated in the modern world is huge and growing exponentially. These include structured and unstructured data that flood organiz...
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Elisa Rossi, Cinzia Rubattino and Gianluigi Viscusi
Big data and analytics have received great attention from practitioners and academics, nowadays representing a key resource for the renewed interest in artificial intelligence, especially for machine learning techniques. In this article we explore the us...
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Martin Sarnovsky, Peter Bednar and Miroslav Smatana
This paper describes the architecture of a cross-sectorial Big Data platform for the process industry domain. The main objective was to design a scalable analytical platform that will support the collection, storage and processing of data from multiple i...
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Martin Sarnovsky, Peter Bednar and Miroslav Smatana
This paper describes the architecture of a cross-sectorial Big Data platform for the process industry domain. The main objective was to design a scalable analytical platform that will support the collection, storage and processing of data from multiple i...
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Prem Lal Joshi,Govindan Marthandan
Pág. 1 - 4
In the era of fast-tracking digitization and unconventional big data analytics, business models are being reshaped and they impact auditing amongst auditors. This viewpoint paper takes into account the procedures underlying on big data and its analytics ...
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Sarah Benjelloun, Mohamed El Mehdi El Aissi, Younes Lakhrissi and Safae El Haj Ben Ali
Thanks to continuously evolving data management solutions, data-driven strategies are considered the main success factor in many domains. These strategies consider data as the backbone, allowing advanced data analytics. However, in the agricultural field...
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Thoralf Reis, Alexander Kreibich, Sebastian Bruchhaus, Thomas Krause, Florian Freund, Marco X. Bornschlegl and Matthias L. Hemmje
The increasing availability of vast quantities of data from various sources significantly impacts the insurance industry, although this industry has always been data driven. It accelerates manual processes and enables new products or business models. On ...
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Christos Karras, Aristeidis Karras, Konstantinos C. Giotopoulos, Markos Avlonitis and Spyros Sioutas
In the context of big-data analysis, the clustering technique holds significant importance for the effective categorization and organization of extensive datasets. However, pinpointing the ideal number of clusters and handling high-dimensional data can b...
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Chouaib El Hachimi, Salwa Belaqziz, Saïd Khabba, Badreddine Sebbar, Driss Dhiba and Abdelghani Chehbouni
Smart management of weather data is an essential step toward implementing sustainability and precision in agriculture. It represents an important input for numerous tasks, such as crop growth, development, yield, and irrigation scheduling, to name a few....
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In Lee and George Mangalaraj
Big data analytics has been successfully used for various business functions, such as accounting, marketing, supply chain, and operations. Currently, along with the recent development in machine learning and computing infrastructure, big data analytics i...
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Ahmed M. Shahat Osman, Ahmed A. Elragal and Anna Ståhlbröst
The relationship between big data analytics (BDA) and smart cities (SCs) has been addressed in several articles. However, few articles have investigated the influence of exploiting BDA in data-driven decision-making from an empirical perspective in a cas...
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Devon S. Johnson, Debika Sihi and Laurent Muzellec
This study examines the experience of marketing departments to become fully data-driven decision-making organizations. We evaluate an organic approach of departmental sensemaking and an administered approach by which top management increase the influence...
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Damião Ribeiro de Almeida, Cláudio de Souza Baptista, Fabio Gomes de Andrade and Amilcar Soares
Trajectory data allow the study of the behavior of moving objects, from humans to animals. Wireless communication, mobile devices, and technologies such as Global Positioning System (GPS) have contributed to the growth of the trajectory research field. W...
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Kimon Deligiannis, Paraskevi Raftopoulou, Christos Tryfonopoulos, Nikos Platis and Costas Vassilakis
Advancements in cultural informatics have significantly influenced the way we perceive, analyze, communicate and understand culture. New data sources, such as social media, digitized cultural content, and Internet of Things (IoT) devices, have allowed us...
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Yuanxuan Yang, Alison Heppenstall, Andy Turner and Alexis Comber
This study describes the integration and analysis of travel smart card data (SCD) with points of interest (POIs) from social media for a case study in Shenzhen, China. SCD ticket price with tap-in and tap-out times was used to identify different groups o...
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Nikos Kefalakis, Aikaterini Roukounaki and John Soldatos
One of the main challenges in modern Internet of Things (IoT) systems is the efficient collection, routing and management of data streams from heterogeneous sources, including sources with high ingestion rates. Despite the existence of various IoT data s...
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