Hybrid Conferencee

International Conference on Predictive Analytics for Business Growth (ICPABG - 26)

14th - 15th December 2026 | Edinburgh, UK

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Call for Papers Extended:
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Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Edinburgh event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Edinburgh conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Edinburgh, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Edinburgh."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

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 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Operational Efficiency through Data Analytics

This track focuses on the application of data analytics to enhance operational efficiency within organizations. Participants will explore methodologies and case studies that demonstrate the impact of analytics on streamlining processes and reducing costs.

Track 02

Market Insights and Consumer Behavior

This session will delve into the use of predictive analytics to gain insights into market trends and consumer behavior. Researchers will present findings on how data-driven strategies can inform marketing decisions and enhance customer engagement.

Track 03

Decision Support Systems in Business

This track examines the role of decision support systems in facilitating informed business decisions. Presentations will highlight innovative approaches to integrating analytics into decision-making processes across various industries.

Track 04

Key Performance Indicators and Analytics

Focusing on the development and utilization of key performance indicators (KPIs), this session will explore how analytics can drive performance measurement and improvement. Attendees will learn about best practices for KPI selection and analysis.

Track 05

Strategic Planning with Predictive Modelling

This track addresses the integration of predictive modelling techniques into strategic planning processes. Participants will discuss how organizations can leverage predictive analytics to anticipate future trends and make proactive decisions.

Track 06

Business Intelligence and Data Visualization

This session will explore the intersection of business intelligence and data visualization in enhancing decision-making. Presenters will showcase tools and techniques that transform complex data into actionable insights for business leaders.

Track 07

Customer Insights through Advanced Analytics

This track focuses on the extraction of customer insights using advanced analytics techniques. Researchers will present studies on how understanding customer preferences and behaviors can lead to improved marketing strategies and customer satisfaction.

Track 08

Performance Metrics and Analytics Frameworks

This session will discuss the development of performance metrics and the frameworks necessary for effective analytics implementation. Participants will explore how to align metrics with business objectives for enhanced organizational performance.

Track 09

Predictive Decision Making in Business

This track examines the principles and practices of predictive decision making in various business contexts. Attendees will learn about the tools and techniques that enable organizations to make data-driven decisions with greater accuracy.

Track 10

Data Analytics for Competitive Advantage

This session will explore how organizations can leverage data analytics to gain a competitive edge in their respective markets. Presentations will highlight successful case studies and strategies that demonstrate the value of analytics in business growth.

Track 11

Emerging Trends in Business Analytics

This track will focus on the latest trends and innovations in business analytics. Researchers and practitioners will discuss the implications of emerging technologies and methodologies for the future of data-driven decision making in business.