Digitalization Series – Data Analytics for Accounting and Finance (archived session) (ESEMEF312L01)

This e-seminar will equip participants with practical knowledge of data analytics tools and techniques.

Speaker will begin with foundational concepts such as data management, database structures, and the hierarchy of data, and then explores real-world applications through case studies in fraud detection, predictive modeling, regulatory compliance, and ESG reporting. Key technologies include Power BI, Python, Alteryx, SQL, and AI-driven platforms like MindBridge and SAS AML will be covered.

At the end, speaker will conclude with insights into blockchain analytics, smart contracts, and emerging trends like generative AI and sustainability analytics, all tailored to the Hong Kong business environment.

After joining this e-seminar, participants will:

• Understand the foundations of data analytics, including data management, database structures, and the hierarchy of data
• Gain hands-on knowledge of data preparation and processing, such as cleaning, integration, and quality assessment
• Learn how to apply AI and machine learning in accounting tasks such as audit automation, anomaly detection, and risk scoring
• Develop skills in data visualization and reporting, using platforms like Power BI and Tableau to create interactive dashboards
• Understand the role of big data and network analysis in financial decision-making and compliance monitoring
• Discover blockchain and cryptocurrency analytics, including smart contract auditing and transaction monitoring for AML compliance
• Identify essential tools for Hong Kong professionals, such as Python, R, SQL, Alteryx, and Excel, and how they integrate into modern accounting workflows
• Stay ahead of emerging trends, including generative AI, ESG analytics, and smart disclosure for regulatory updates

Notice

This course operates under a learning management system (LMS) designed to enhance the learning experience. The course will be available to LMS-registered users within 24 hours. (Note: first-time user will receive an activation email shortly from no-reply@lmsmailbox.hkicpa.org.hk containing instructions to activate an LMS account.) The viewing period for the course is 180 days.

Offline enrolment form