Hybrid Conferencee

International Conference on Data Analytics in Banking and Finance (ICDABF - 26)

9th - 10th December 2026 | Hamburg, Germany

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Hamburg. Submit your research by today to participate in one of the top conferences."
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 Hamburg 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 Hamburg conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Hamburg, 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 Hamburg."
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 16
SDG 16 Peace, Justice and Strong Institutions
Track 01

Banking Analytics and Performance Measurement

This track focuses on the application of data analytics in measuring and enhancing banking performance. It will explore methodologies for evaluating key performance indicators and operational efficiency through advanced analytical techniques.

Track 02

Predictive Modeling in Financial Services

This session will delve into the development and implementation of predictive models to forecast financial trends and customer behavior. Participants will discuss various algorithms and their effectiveness in enhancing decision-making processes within financial institutions.

Track 03

Risk Assessment and Management in Banking

This track addresses the critical importance of risk assessment methodologies in the banking sector. It will cover innovative approaches to identify, quantify, and mitigate risks using data analytics and machine learning techniques.

Track 04

Fraud Detection and Prevention Strategies

This session will examine the latest advancements in fraud detection technologies and methodologies within the banking industry. Emphasis will be placed on the role of big data and machine learning in identifying fraudulent activities and enhancing security measures.

Track 05

Portfolio Analytics and Investment Strategies

This track will explore the integration of data analytics in portfolio management and investment decision-making. Participants will discuss quantitative techniques for optimizing asset allocation and maximizing returns.

Track 06

Machine Learning Applications in Finance

This session will focus on the transformative impact of machine learning technologies in the finance sector. Topics will include algorithm development, model validation, and real-world applications in various financial contexts.

Track 07

Big Data in Banking: Opportunities and Challenges

This track will investigate the implications of big data analytics in banking operations and customer relationship management. Discussions will center on the challenges of data integration, privacy concerns, and the potential for enhanced customer insights.

Track 08

Decision Support Systems in Financial Institutions

This session will highlight the role of decision support systems in enhancing strategic decision-making within financial institutions. Participants will explore case studies and frameworks that leverage data analytics for improved outcomes.

Track 09

Regulatory Compliance and Data Analytics

This track will address the intersection of regulatory compliance and data analytics in the banking sector. It will focus on how analytics can facilitate adherence to regulatory requirements and improve reporting accuracy.

Track 10

Data Visualization Techniques for Financial Insights

This session will explore innovative data visualization techniques that enhance the interpretation of financial data. Participants will discuss best practices for presenting complex data in a clear and actionable manner.

Track 11

AI Innovations in Banking and Finance

This track will examine the latest artificial intelligence innovations transforming the banking and finance landscape. Discussions will focus on AI applications in customer service, risk management, and operational efficiency.