Imperative role of customer segmentation technique for customer retention using machine learning techniques

Koli, Sakshi; Singh, Rajesh; Mishra, Rashmi; Badhani, Preeti

doi:10.1109/aisc56616.2023.10085487

Cited by 3 publications

References 48 publications

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Developing a data analytics toolbox for data-driven product planning: a review and survey methodology

Panzner,

von Enzberg,

Dumitrescu

2024

AIEDAM

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The application of data analytics to product usage data has the potential to enhance engineering and decision-making in product planning. To achieve this effectively for cyber-physical systems (CPS), it is necessary to possess specialized expertise in technical products, innovation processes, and data analytics. An understanding of the process from domain knowledge to data analysis is of critical importance for the successful completion of projects, even for those without expertise in these areas. In this paper, we set out the foundation for a toolbox for data analytics, which will enable the creation of domain-specific pipelines for product planning. The toolbox includes a morphological box that covers the necessary pipeline components, based on a thorough analysis of literature and practitioner surveys. This comprehensive overview is unique. The toolbox based on it promises to support and enable domain experts and citizen data scientists, enhancing efficiency in product design, speeding up time to market, and shortening innovation cycles.

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Developing a data analytics toolbox for data-driven product planning: a review and survey methodology

Panzner,

von Enzberg,

Dumitrescu

2024

AIEDAM

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Research on Customer Segmentation and Marketing Using Rubin Index Based K Means Clustering

Huang

2024

2024 International Conference on Data Science and Network Security (ICDSNS)

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AI-Driven Predictive Analytics to Enhance Digital Marketing Strategies in Domain and Hosting Business

Adi Pratama,

Auliya Khadija,

Noviana Paradhita

et al. 2024

2024 International Conference on Data Science and Its Applications (ICoDSA)

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Imperative role of customer segmentation technique for customer retention using machine learning techniques

Cited by 3 publications

References 48 publications

Developing a data analytics toolbox for data-driven product planning: a review and survey methodology

Developing a data analytics toolbox for data-driven product planning: a review and survey methodology

Research on Customer Segmentation and Marketing Using Rubin Index Based K Means Clustering

AI-Driven Predictive Analytics to Enhance Digital Marketing Strategies in Domain and Hosting Business

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