Overview

This conference serves as a global platform uniting business leaders, analysts, academics, and technology innovators to drive discussion and knowledge-sharing on all facets of business analytics—from descriptive and diagnostic analytics to real-time and AI-enhanced prescriptive analytics. The event spotlights cross-functional applications across customer, marketing, finance, HR, supply chain, and risk analytics, addressing both technical and strategic aspects that empower data-driven decision making in a dynamic business environment.

Structure and Sessions (Who Does What)

• Opening & Keynotes: Industry visionaries and thought leaders deliver opening remarks and trendsetting keynote addresses on the state and future of business analytics.
• Technical Sessions: Peer-reviewed presentations highlight cutting-edge advances in descriptive, diagnostic, predictive, and prescriptive analytics, as well as data mining and analytics application domains (marketing, financial, HR, operations, risk, etc.).
• Workshops & Tutorials: Practical, interactive sessions on analytics tools, visualization techniques, big data architecture, machine learning, and AI-driven decision support.
• Panel Discussions: Multi-disciplinary panels address analytics adoption, ethics, data governance, AI trust, and organizational transformation.
• Poster & Demo Sessions: Early-career researchers and students present analytics use-cases, demos, and prototypes for audience engagement and feedback.
• Awards & Closing: Recognition of best research, innovative demos, and active participation, with conference wrap-up.

Participate and Contribute (Who Benefits)

• Academics & Researchers: Share analytics research, receive peer feedback, and forge collaborations.
• Business Analysts & Data Scientists: Learn advanced methods, domain analytics, and real-world application strategies.
• Industry Leaders & Executives: Discover analytics-driven strategies and use-cases with tangible business impact.
• Students & Early Career Professionals: Develop skills, showcase projects, and connect with mentors.
• Policy Makers & Consultants: Explore analytics applications, governance issues, and new regulatory trends.

Benefits for Attendees

• Certificate of participation based on engagement and feedback.
• Digital memento commemorating involvement.
• Abstract/full paper publication opportunities in indexed journals such as Scopus, CrossRef, Web of Science, Elsevier, SCI, etc.
• Awards for best paper, poster, and participant engagement.
• Access to session recordings and all conference materials after the event.
• Online networking rooms and mentorship sessions.

Abstract Topics / CFP Tracks – Registration

• Descriptive, diagnostic, predictive, and prescriptive analytics methods and tools
• Data mining, data visualization, and storytelling with business data
• Business Intelligence platforms and big data analytics architectures
• Machine learning and AI for business decision making
• Customer, marketing, and financial analytics
• HR analytics, supply chain analytics, operations and process analytics
• Risk analytics, real-time analytics, and streaming data analysis
• Text, voice, and sentiment analytics
• Data governance, privacy, and ethical implications in analytics
• Analytics project management, adoption challenges, and organizational transformation
• Peer-reviewed submissions; accepted abstracts/papers require registration for presentation/publication.

Detailed Program Grid (2 Days) — Online Conference (with Breaks)

This structure ensures a vibrant, practical, and rigorous online conference environment, building analytics leadership for the data-driven enterprise.