Factors affecting the adoption of Big Data analytics in companies by Juan-Pedro Cabrera-Sánchez, Ángel F. Villarejo-Ramos

“…With the total quantity of data doubling every two years, the low price of computing and data storage, make Big Data analytics (BDA) adoption desirable for companies, as a tool to get competitive advantage. …”
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Teaching Experiential Data Analytics Using an Election Simulation by Bay Arinze

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Data science and data analytics in life science research by Jürgen Bajorath

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Enhancing Digital Health Services with Big Data Analytics by Nisrine Berros, Fatna El Mendili, Youness Filaly, Younes El Bouzekri El Idrissi

“…Finally, we propose a general strategy for medical organizations looking to adopt or leverage big data analytics. Through this study, healthcare organizations and institutions considering the use of big data analytics technology, as well as those already using it, can gain a thorough and comprehensive understanding of the potential use, effective targeting, and expected impact.…”
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Decision support model for big data analytics tools by Tonata M. Nakashololo, Tiko Iyamu

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Bitcoin Price Forecasting and Trading: Data Analytics Approaches by Abdullah H. Al-Nefaie, Theyazn H. H. Aldhyani

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Dangerous data: analytics and information behaviour in the commercial world by Tredinnick, Luke

“…Data has become an increasingly important component in the contemporary business operations, epitomised by the rise of the Business Intelligence system, data analytics, and data visualisations. It has been associated with increased productivity and the development of new business opportunities. …”
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The role of chatbots in data analytics: an evaluation of functional abilities by Patel, Preeti, Shooshtarian, Sowgol

“…In the fast-paced evolution of artificial intelligence, in which chatbots are becoming vital tools in many areas, this study is focused on the various functional roles of ChatGPT-4 in data analytics. The primary objective is to assess the technological advancements and capabilities of ChatGPT-4 in analyzing data. …”
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From individual to group privacy in big data analytics by Mittelstadt, B

“…Analytics (as in big data analytics) has arisen as a practice to make sense of the data trails generated through interactions with networked devices, platforms and organisations. …”

Determining the graduates employability using data analytics model by Matos Jr., Zenon A.

“…These studies used a data analytics model to forecast the employability of graduates using the linear regression algorithm and the SMOreg algorithm, predict the number of graduates in the next 3 years in the BS Information Technology program, and determine the percentage of graduates who are employed and unemployed using the data sourced from the tracer study conducted. …”
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A system for evaluating big data analytics performance by Jusoh, Yusmadi Yah, Affendey, Lilly Suriani, Nor, Rozi Nor Haizan, Abdullah, Rusli, Mohamed, Ismail

“…Despite of advances in systems and practices, performance measurement remains instrumental in helping organization discover existing problems and propose viable solutions. On big data Analytics (BDA), more efforts are being focused, but performance side is still a room for improvement. …”
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Big data analytics adoption model for Malaysian SMEs by Eu, Lay Tien, Mat Ali, Nazmona, Miskon, Suraya, Ahmad, Norasnita, Syed Abdullah, Norris

“…Big Data Analytics (BDA) was utilized to analyze and examine big data sets. …”

Big data analytics for predictive maintenance in maintenance management by Razali, Muhammad Najib, Jamaluddin, Ain Farhana, Abdul Jalil, Rohaya, Thi, Kim Nguyen

“…Purpose: This research attempts to highlight the concept of big data analytics in predictive maintenance for maintenance management of government buildings in Malaysia. …”

The value of big data analytics pillars in telecommunication industry by Keshavarz, Hassan, Mohd. Mahdzir, Akbariah, Talebian, Hosna, Jalaliyoon, Neda, Ohshima, Naoki

“…Several experts and practitioners have lately emphasized the need of understanding how, why, and when Big Data Analytics (BDA) applications may be a valuable resource for businesses seeking a competitive edge. …”
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Literature Study of The Influence of Big Data and Data Analytic on Cost Controls by Titis Wahyuni

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OPERATIONS MANAGEMENT AND DATA ANALYTICS MODELLING: ECONOMIC CRISES PERSPECTIVE / by Awasthi, Lalit Kumar, editor., Mishra, S.K., Panchal, Dilbagh, yagi, Mohit T.

Data Analytics for Organisational Development : Unleashing the Potential of Your Data / by Kaufmann, Uwe H., author., Tan, Amy B. C., author.

Deep Learning for Data Analytics : Foundations, Biomedical Applications, and Challenges / by Das, Himansu, editor 648656, Pradhan, Chittaranjan, editor 651106, Dey, Nilanjan, 1984-, editor 611303, ScienceDirect (Online service) 7722

“…Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics techniques in large scale environments. …”
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IoT-Based Data Analytics for the Healthcare Industry : Techniques and Applications / by Singh, Sanjay Kumar, 1963-, editor 636871, Singh, Ravi Shankar, editor 651002, Pandey, Anil Kumar, editor 651003, Udmale, Sandeep S., editor 651004, Chaudhary, Ankit, editor 651005, ScienceDirect (Online service) 7722

“…IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. …”
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Real-Time Data Analytics for Large Scale Sensor Data / by Das, Himansu, editor 648656, Dey, Nilanjan, 1984-, editor 611303, Balas, Valentina Emilia, editor 635809, ScienceDirect (Online service) 7722

“…Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. …”
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