Flex Conference (Physical / Digital)

International Conference on Big Data Applications in Marketing Strategies - (ICBDAMS-27)

8th - 9th January 2027 , Washington Dc - USA

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Call For Papers

The (ICBDAMS-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Data Analytics, Marketing, Business are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Big data applications in marketing strategies
  • Data-driven decision making in marketing
  • Impact of big data on consumer insights
  • Challenges in big data integration
  • Case studies of big data success stories
  • Predictive analytics for marketing effectiveness
  • Ethics of big data in marketing practices
  • Tools for big data analysis in marketing
  • Emerging trends in big data technologies
  • Role of AI in big data marketing
  • Segmentation strategies using big data
  • Data visualization techniques for big data
  • Collaborative approaches to big data projects
  • Impact of big data on customer engagement
  • Future of big data in marketing landscapes
  • Big data and personalized marketing strategies
  • Best practices for big data governance
  • Integrating big data with traditional marketing
  • Consumer behavior analysis through big data
  • Innovative marketing strategies using big data

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.