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International Conference on Business Data Analytics and Digital Business

📅 22–23 Apr 2027 📍 Paphos, Cyprus 👤 Standard / Listener

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$165

virtual · $165 in person

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Official invitation letterIssued automatically after registration

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Certificate & digital materialsCertificate, slides and resource materials

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Supporting global researchConnect with researchers across 30+ countries

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the integration of data analytics into business decision-making processes. It aims to explore methodologies and case studies that demonstrate the impact of data-driven strategies on organizational performance.

This session will examine how digital transformation is reshaping traditional business models. Participants will discuss the implications of emerging technologies on value creation and competitive advantage.

This track will delve into the use of predictive analytics to forecast market trends and consumer behavior. Researchers will present their findings on the effectiveness of various predictive models in enhancing business strategies.

This session will explore the role of big data in understanding consumer behavior and preferences. Papers will highlight innovative approaches to harnessing large datasets for actionable insights.

This track addresses the ethical considerations and privacy concerns associated with data analytics in business. Discussions will focus on regulatory frameworks and best practices for responsible data usage.

This session will investigate the applications of artificial intelligence in enhancing business analytics. Participants will share insights on how AI technologies can improve data interpretation and decision-making.

This track will focus on the analytical techniques used to measure and optimize digital marketing efforts. Researchers will present studies on the effectiveness of various digital marketing strategies driven by data.

This session will explore the role of data analytics in optimizing supply chain management. Papers will discuss innovative analytical approaches that enhance efficiency and reduce costs in supply chains.

This track will examine the use of data analytics in financial decision-making and risk assessment. Researchers will present methodologies for leveraging data to mitigate financial risks and enhance investment strategies.

This session will focus on the tools and techniques used in business intelligence for effective reporting and data visualization. Participants will discuss best practices for transforming data into meaningful business insights.

This track will explore the impact of data analytics on human resource management and workforce planning. Discussions will center on how analytics can inform talent acquisition, employee engagement, and performance management.