On-location / Digital Conference

International Conference on Business Analytics and Decision Analysis (ICBADA-26)

29th - 30th Dec 2026,Djelfa, Algeria

In Association With:


Important Dates


Early Bird Registration

29th Nov 2026

Paper Submission Deadline

4th December 2026

Registration Deadline

14th December 2026

Conference Date

29th - 30th Dec 2026

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Djelfa ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Djelfa conference.
  • Peer Review Process:
    The peer review process will begin soon for Djelfa conference.
  • Networking with Global Experts:
    Join global experts at our conference in Djelfa.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4 — Quality Education
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
SDG 17 — Partnerships for the Goals
Session Tracks
Track 01
Innovations in Business Analytics

This track focuses on the latest advancements in business analytics methodologies and tools. Participants will explore how innovative analytics techniques can enhance decision-making processes across various industries.

Track 02
Data-Driven Decision Making

This session examines the role of data in shaping strategic business decisions. Attendees will discuss frameworks and case studies that illustrate successful data-driven approaches.

Track 03
Consumer Analytics and Market Strategy

This track delves into the use of consumer analytics to inform marketing strategies. Participants will analyze how data insights can drive customer engagement and improve market positioning.

Track 04
Statistical Methods for Business Applications

This session highlights the application of statistical methods in business contexts. Researchers will present methodologies that enhance data interpretation and decision-making accuracy.

Track 05
Predictive Modeling and Forecasting Techniques

This track focuses on predictive modeling and its applications in forecasting business outcomes. Attendees will learn about various techniques and their effectiveness in anticipating market trends.

Track 06
Computational Decision Science

This session explores the intersection of computational methods and decision science. Participants will discuss how computational tools can optimize decision-making processes in complex business environments.

Track 07
Building Analysis Models and Simulations

This track emphasizes the development of analytical models and simulations for business scenarios. Researchers will share insights on best practices for model building and validation.

Track 08
Business Financing and Investment Analytics

This session investigates analytical approaches to business financing and investment decisions. Participants will explore how data analytics can inform risk assessment and investment strategies.

Track 09
Decision Support Systems in Business

This track focuses on the design and implementation of decision support systems in business settings. Attendees will examine case studies that demonstrate the impact of these systems on organizational effectiveness.

Track 10
Data Organization and Statistical Analysis

This session addresses the importance of data organization in facilitating effective statistical analysis. Participants will discuss techniques for structuring data to enhance analytical outcomes.

Track 11
Emerging Trends in Business Analytics

This track highlights emerging trends and technologies in the field of business analytics. Researchers will present findings on new patterns and relationships that are shaping the future of analytics.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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