Flex Conference (Physical / Digital)

International Conference on Big Data and Analytics in Digital Transformation - (ICBDADT-27)

16th - 17th June 2027 , Nice - France

Registration Options →

Access Flexible Participation Categories

Call For Papers

The (ICBDADT-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 Digital Transformation 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 analytics for business insights
  • Impact of big data on decision making
  • Data visualization techniques for businesses
  • Challenges of big data implementation
  • Future trends in big data technologies
  • Big data in marketing strategies
  • Data privacy concerns in big data usage
  • Big data for operational efficiency improvements
  • Collaboration between big data and AI
  • Case studies of successful big data applications
  • Big data in supply chain management
  • Impact of big data on consumer behavior
  • Sustainability practices in big data analytics
  • Big data for risk management strategies
  • Role of leadership in big data initiatives
  • Big data in healthcare decision making
  • Future of work in big data environments
  • Ethical considerations in big data usage
  • Big data and customer engagement strategies
  • Regulatory challenges for big data technologies

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.