A Complete Overview of Analytics Techniques: Descriptive, Predictive, and Prescriptive

Roy, Debashish; Srivastava, Rajeev; Jat, Mansi; Karaca, Mustafa Said

doi:10.1007/978-3-030-82763-2_2

Cited by 18 publications

(8 citation statements)

References 10 publications

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“…The bibliometric analysis is frequently used to assess the quality of research studies and to identify the models and characteristics of a specific topic (Alhamzah et al, 2022;Alhamzah et al, 2020;Srivastava, 2020,). Bibliometric indicators assess the breadth and quality of underlying research studies by counting publications and citations (Bahuguna et al, 2022;Roy et al, 2022).…”

Section: Methodsmentioning

confidence: 99%

Untitled

2024

MER

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Artificial intelligence (AI) techniques are commonly used in e-commerce, but there is little bibliometric analysis in this field. Using a bibliometric approach, it conducted a comprehensive study over the past decade to assess the research landscape, progress, and emerging trends in the field of artificial intelligence in e-commerce. Data was collected from related literature in the Scopus database from 2014 to the first half of 2023. VOSviewer and R studio were used to perform the bibliometric analysis of AI in e-commerce. The author status, nations, affiliations, annual publications, keywords, and journals were all evaluated in this way. The oldest relevant article was published in 1994, and article reviews were the most common form of document among the 669 manuscripts. Furthermore, the most popular research areas in this topic are business, management, and accounting. Additionally, the most productive journal is Proceedings of the International Conference on Electronic Business (ICEB). Moreover, the UK is the country that has published the most articles, and in terms of co-authorship, it has the strongest overall link. Finally, the keyword co-occurrence network indicates that the most important keywords are machine learning, e-commerce, recommender systems, fraud detection, decision-making systems, data mining, and online retailing.

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Section: Methodsmentioning

confidence: 99%

Untitled

2024

MER

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“…A análise preditiva faz previsões e estimativas com base em padrões históricos. A análise prescritiva fornece recomendac ¸ões e sugestões acionáveis para otimizar resultados futuros [Roy et al 2022].…”

Section: Extrac ¸ãO Tratamento Análise E Visualizac ¸ãO De Dadosunclassified

Análise e Visualização de Dados em Jogos de Treinamento de Situações de Risco na Indústria - Um Estudo em Mapeamento Sistemático

Serra,

Classe

2023

Anais Estendidos Do XXII Simpósio Brasileiro De Jogos E Entretenimento Digital (SBGames Estendido 2023)

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Acidentes e os riscos na indústria são desafios significativos em relação execução de tarefas críticas. A falta de treinamento adequado dos funcionários compromete a capacidade de lidar com riscos, tornando o ambiente propenso a acidentes. Neste contexto, jogos com propósito para treinamento surgem como uma solução promissora, oferecendo um ambiente interativo e imersivo. Com foco em uma melhor gestão de risco, os gestores organizacionais podem utilizar os dados coletados por esses jogos como métricas de acompanhamento e aprimoramento. Pensando nisso, este estudo apresenta um mapeamento sistemático da literatura, com 846 estudos encontrados, dos quais, apenas 10 foram aceitos para responder como os dados destes jogos são extraídos, analisados e apresentados. Como resultado, foram identificadas técnicas de análise e visualização de dados, com extração de dados em tempo real para medir o desempenho dos jogadores durante o treinamento, elementos de design, gˆeneros de jogos e principais áreas como: indústria da construção, química e meio ambiente. Portanto, foi possível obter indícios de que jogos com propósito combinados com técnicas de análise e visualização de dados podem oferecer uma nova perspectiva para a realização e avaliação do treinamento e oferecer informações que contribuam com a melhoria dos índices de qualidade de trabalho e diminuição de risco de acidentes graves dentro da indústria.

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“…In the dynamic landscape of data-driven decision-making, predictive analytics stands as a technological frontier, wielding the power to transform how we anticipate, strategize, and navigate the complex currents of the information age (McCarthy et al, 2022, Lepenioti et al, 2020, Roy et al, 2022. This study delves into the multifaceted evolution of predictive analytics, examining both its philosophical foundations and the practical applications that have propelled it into the forefront of modern analytics.…”

Section: Introductionmentioning

confidence: 99%

Advancements in predictive analytics: A philosophical and practical overview

Oluwatoyin Ajoke Farayola,

Ejuma Martha Adaga,

Zainab Efe Egieya

et al. 2024

World J. Adv. Res. Rev.

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This review would summarize recent advancements in predictive analytics within the financial industry, exploring both the technological developments and their philosophical implications. It would evaluate the balance between data-driven decision-making and ethical considerations. Predictive analytics has witnessed remarkable advancements, blending philosophical considerations with practical applications to redefine decision-making processes across various industries. This abstract provides an overview of the philosophical underpinnings and practical implications of the evolving landscape of predictive analytics. Philosophically, predictive analytics raises profound questions about determinism, human agency, and the ethical implications of data-driven decision-making. The abstract explores the tension between the predictive power of algorithms and the need to preserve individual autonomy, delving into the ethical considerations surrounding privacy, bias, and accountability. Practically, the overview navigates the cutting-edge tools and techniques that drive predictive analytics. From machine learning algorithms to big data analytics, the abstract examines how these technologies empower organizations to make data-driven predictions, optimize processes, and gain actionable insights. Real-world applications in business, healthcare, finance, and other domains underscore the transformative impact of predictive analytics on operational efficiency and strategic decision-making. As predictive analytics continues to shape the future of information processing, this abstract encapsulates the dual nature of its evolution – a philosophical exploration of its ethical dimensions and a practical examination of its applications, offering a holistic understanding of the field's implications for individuals, organizations, and society at large.

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A Complete Overview of Analytics Techniques: Descriptive, Predictive, and Prescriptive

Cited by 18 publications

References 10 publications

Untitled

Untitled

Análise e Visualização de Dados em Jogos de Treinamento de Situações de Risco na Indústria - Um Estudo em Mapeamento Sistemático

Advancements in predictive analytics: A philosophical and practical overview

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