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360° Retail Business Analytics by Adopting Hybrid Machine Learning and a Business Intelligence Approach
9 references·0 citing·47 second hop
360° Retail Business Analytics by Adopting Hybrid Machine Learning and a Business Intelligence Approach (2022)360° Retail Business Analytics by Adoptin…Emerging Market Retail: Transitioning from a Product-Centric to a Customer-Centric Approach (2021)Emerging Market Retail: Trans…Sales Forecast for Amazon Sales with Time Series Modeling (2020)Sales Forecast for Amazon Sal…Leading Business Intelligence (BI) Solutions and Market Trends (2020)Leading Business Intelligence…Export sales forecasting using artificial intelligence (2020)Export sales forecasting usin…Daily retail demand forecasting using machine learning with emphasis on calendric special days (2020)Daily retail demand forecasti…Cloud Business Intelligence (2019)Cloud Business IntelligenceIntegrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics (2018)Integrated Understanding of B…Elucidating the determinants of business intelligence adoption and organizational performance (2018)Elucidating the determinants …Customer Behavior Mining Framework (CBMF) using clustering and classification techniques (2018)Customer Behavior Mining Fram…Account portfolio analysis for strategy development (1982)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Customer churn prediction in telecommunications (2011)Blockchain in churn prediction based telecommunication system on climatic weather application (2022)Transactional data-based customer segmentation applying CRISP-DM methodology: A systematic review (2023)Using machine learning methods to predict future churners: an analysis of repeat hotel customers (2024)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Information Systems Success: The Quest for the Dependent Variable (1992)Business Intelligence and Analytics: From Big Data to Big Impact (2012)The application of big data analytics in optimizing logistics: a developmental perspective review (2019)Examining the adoption of Big data analytics in supply chain management under competitive pressure: evidence from Saudi Arabia (2020)Big data analytics in supply chain decarbonisation: a systematic literature review and future research directions (2023)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural equation modeling in practice: A review and recommended two-step approach. 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References

  • 2020Daily retail demand forecasting using machine learning with emphasis on calendric special days176 cited
  • 2020Export sales forecasting using artificial intelligence157 cited
  • 2021Emerging Market Retail: Transitioning from a Product-Centric to a Customer-Centric Approach131 cited
  • 2018Elucidating the determinants of business intelligence adoption and organizational performance100 cited
  • 2018Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics63 cited
  • 2020Sales Forecast for Amazon Sales with Time Series Modeling43 cited
  • 2018Customer Behavior Mining Framework (CBMF) using clustering and classification techniques29 cited
  • 2019Cloud Business Intelligence16 cited
  • 2020Leading Business Intelligence (BI) Solutions and Market Trends12 cited

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