The fields of Business Analytics and Data Science have become critical drivers of innovation and decision-making in a rapidly evolving global economy. The BizData 2026 conference serves as a platform to bring together young and senior researchers, industry professionals, and thought leaders to share insights, discuss challenges, and chart the future of these dynamic disciplines.

Throughout this event, we will delve into cutting-edge research, innovative applications, and emerging trends that demonstrate how businesses can harness the potential of data to create value and foster growth — from predictive modeling to machine learning and AI, from big data integration to ethical considerations.

Areas of Interest

We welcome submissions across a broad spectrum of business analytics and data science research.

  • Advanced Analytics in Business Decision-Making
    Predictive modeling and forecasting, optimization techniques, prescriptive analytics and strategy development.
  • Machine Learning & AI Applications
    Process automation, NLP for customer insights, reinforcement learning in dynamic environments.
  • Big Data Applications
    Real-time data processing and analytics at scale.
  • Data Visualization & Communication
    Impactful dashboards and reports, data storytelling, visualization tools and technologies.
  • Industry-Specific Analytics
    Finance, healthcare, supply chain, and retail. Sector-specific case studies and success stories.
  • Analytics for Functional Areas
    Accounting, auditing, marketing & sales, cybersecurity, talent analytics, R&D, risk management.
  • Ethics & Privacy
    Data privacy challenges, algorithmic fairness and transparency, regulatory compliance.
  • Collaborative & Interdisciplinary Approaches
    Behavioral science integration, cross-functional collaboration, interdisciplinary innovation.
  • Analytics for Sustainability
    Environmental impact assessment, energy optimization, measuring sustainable practices.
  • Education & Training Innovations
    Teaching business analytics in academia, learning analytics, curriculum development.

Important Dates

All deadlines are strictly observed. Plan your submission ahead of time.

  • Submission Period: March 6 – April 20
  • Extended Abstract Submission: March 6 – May 4
  • Acceptance Notification: May 11
  • Registration: May 12 – May 18
  • Conference Day: June 3
  • Camera-Ready Submission: June 29