Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions
The study of big data analytics (BDA) methods for the data-driven industries is gaining
research attention and implementation in today's industrial activities, business intelligence …
research attention and implementation in today's industrial activities, business intelligence …
Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness
This study investigates the literary corpus of the role and potential of data intelligence and
analytics through the lenses of artificial intelligence (AI), big data, and the human–AI …
analytics through the lenses of artificial intelligence (AI), big data, and the human–AI …
Risk assessment of data science projects: A literature review on risk identification
M Holtkemper, M Potanin, A Oberst… - Intelligent Systems …, 2024 - Springer
The effective implementation of data science projects (DSP) relies heavily on risk
management, where understanding and managing potential risks are important factors …
management, where understanding and managing potential risks are important factors …
The challenges of data analytics implementations: A preliminary literature review
M Milicevic, S Eybers - Proceedings of International Conference on Data …, 2021 - Springer
Data analytics projects have brought countless benefits and solutions to the world. As a
result, many organizations have attempted to adopt data analytics in order to reap the …
result, many organizations have attempted to adopt data analytics in order to reap the …
Artificial Intelligence and Big Data for COVID-19 Diagnosis
Abstract The coronavirus disease 2019 (COVID-19) outbreak has given rise to a high
number of human deaths as well as chaos in the world's economic, social, sociological, and …
number of human deaths as well as chaos in the world's economic, social, sociological, and …
Risk Assessment of Data Science Projects
M Holtkemper, MPA Oberst… - Intelligent Systems and …, 2024 - books.google.com
The effective implementation of data science projects (DSP) relies heavily on risk
management, where understanding and managing potential risks are important factors …
management, where understanding and managing potential risks are important factors …
Usos del Big Data en las empresas: Un instrumento de prestigio y de supervivencia hoy
JOB Benavides, CDG Saavedra… - Dominio de las …, 2024 - dominiodelasciencias.com
Resumen El Big Data se ha convertido en un activo estratégico indispensable en el entorno
empresarial actual, permitiendo a las empresas optimizar operaciones, comprender a los …
empresarial actual, permitiendo a las empresas optimizar operaciones, comprender a los …
Data-Driven Insights for Strengthening Information Security Awareness
This research centers on improving information security awareness (ISA) in higher
education institutions (HEIs) through the application of data analytics techniques. The …
education institutions (HEIs) through the application of data analytics techniques. The …
Leveraging Big Data for Competitive Advantage in Entrepreneurship: A Decade of Insights
EF Anggono, A Purnomo - International Conference on Green Technology …, 2024 - Springer
Big data is one of the significant forces for innovation and competitive advantage in
entrepreneurship. Integration of vast datasets presents opportunities for entrepreneurs to …
entrepreneurship. Integration of vast datasets presents opportunities for entrepreneurs to …
Behind the Scenes of Parliament: Data Analyst di Setjen DPR RI
D Kurniawan, SF Sujadi - Jurnal STRATEGI-Jurnal …, 2024 - strategi.it.maranatha.edu
This report presents the internship experience of a Data analyst at the Secretariat General of
the House of Representatives of the Republic of Indonesia (Setjen DPR RI). The internship …
the House of Representatives of the Republic of Indonesia (Setjen DPR RI). The internship …