Advancements in Banking Analytics
This track explores the latest methodologies and technologies in banking analytics that enhance decision-making processes. It aims to showcase innovative approaches that leverage data for improved banking outcomes.
Explore the proposed two-day programme developed around the conference Session Tracks and aligned United Nations Sustainable Development Goals.
Session timings, sequence, track grouping and allocations are tentative and subject to change. Final timings will be confirmed closer to the conference. All timings follow the local time of the conference location.
Participant arrival, credential verification and virtual lobby access.
Informal networking for on-site and virtual participants.
Opening of the conference and introduction to its research focus.
This track explores the latest methodologies and technologies in banking analytics that enhance decision-making processes. It aims to showcase innovative approaches that leverage data for improved banking outcomes.
Focusing on the application of predictive analytics, this track examines how banks can anticipate customer behavior and market trends. Papers should discuss models that enhance risk assessment and operational efficiency.
This session emphasizes the role of data-driven insights in shaping customer experiences within the banking sector. Contributions should highlight strategies for utilizing analytics to improve customer satisfaction and loyalty.
Refreshment interval and networking opportunity.
This track delves into innovative risk assessment frameworks that utilize data analytics to mitigate financial risks. Researchers are encouraged to present findings on effective risk management practices in banking.
Exploring the integration of data across banking operations, this track focuses on enhancing operational efficiency. Papers should discuss best practices and technologies that streamline processes and reduce costs.
This session investigates the transformative impact of artificial intelligence and machine learning on banking operations. Contributions should cover applications ranging from fraud detection to customer service automation.
Closing interaction and key takeaways from the first day.
On-site attendance confirmation and virtual lobby access.
Expert address on the future of the conference research domain.
Focusing on the importance of performance metrics, this track examines how data analytics can enhance financial reporting accuracy. Researchers are invited to present frameworks that improve transparency and accountability in banking.
This track addresses the intersection of regulatory compliance and data analytics in the banking industry. Papers should explore how analytics can facilitate adherence to regulations while optimizing operational practices.
This session focuses on innovative techniques for fraud detection and prevention in banking through data analytics. Researchers are encouraged to share insights on effective strategies that safeguard financial transactions.
Refreshment interval and professional networking.
This track emphasizes the role of business intelligence in strategic planning within the banking sector. Contributions should highlight how data-driven insights can inform long-term strategies and competitive positioning.
Exploring the impact of digital transformation, this track examines how banks can leverage analytics to enhance their digital offerings. Papers should discuss challenges and opportunities associated with implementing data-driven digital strategies.
Publication guidance and recognition of outstanding research contributions.
Conference summary, acknowledgements and formal conclusion.
Submit your research or complete your conference registration.