Classroom/ Online: Yes/ No
Scheduling Date(s):
1) May 20, 2025 (classroom)
2) Aug 29, 2025 (classroom)
3) Oct 21, 2025 (classroom)
4) Dec 11, 2025 (classroom)
Note: Please click specific date for detailed venue and course fee etc.
Executive Workshop: AI & Data Analytics for Business & Decision-Making
In today’s fast-paced digital economy, executives and business leaders must harness the power of AI and data analytics to drive informed decision-making and maintain a competitive edge. This intensive workshop provides a strategic overview of how AI and data analytics can be leveraged for business growth, operational efficiency, and risk management.
Participants will explore real-world applications of AI in predictive analytics, automation, and business intelligence. They will gain insights into best practices for interpreting data, identifying trends, and making data-driven decisions that align with organizational goals. Through hands-on case studies and interactive discussions, executives will leave with practical strategies to implement AI-driven analytics within their organizations.
Participants must bring a laptop with internet access for hands-on exercises.
Participants will explore real-world applications of AI in predictive analytics, automation, and business intelligence. They will gain insights into best practices for interpreting data, identifying trends, and making data-driven decisions that align with organizational goals. Through hands-on case studies and interactive discussions, executives will leave with practical strategies to implement AI-driven analytics within their organizations.
Participants must bring a laptop with internet access for hands-on exercises.
Objective
- Understand the fundamentals and AI-driven evolution of Data Analytics
- Differentiate between Descriptive, Predictive, and Prescriptive Analytics and their AI-powered applications
- Learn how AI-driven data modelling enhances financial decision-making
- Apply AI & analytics techniques to financial analysis and corporate strategy
- Explore real-world AI case studies in corporate finance and risk management
Outline
Module 1: Introduction to AI & Data Analytics
Module 2: AI-Driven Descriptive vs. Predictive Analytics
Module 3: AI in Predictive vs. Prescriptive Analytics
Module 4: AI & Data Modelling for Business Intelligence
Module 5: AI-Driven Financial Analysis & Interpretation
Module 6: AI Case Studies & Business Applications
- What is Data Analytics, and how is AI transforming it?
- Types of Data Analytics & AI Integration:
- Descriptive Analytics
- Diagnostic Analytics
- Predictive Analytics
- Prescriptive Analytics
- Role of Machine Learning & Generative AI in financial analytics
Module 2: AI-Driven Descriptive vs. Predictive Analytics
- AI-Powered Descriptive Analytics:
- Business intelligence dashboards with Power BI, Tableau, and AI-enhanced insights
- AI in Predictive Analytics:
- AI-driven automation in financial reporting & KPI tracking
Module 3: AI in Predictive vs. Prescriptive Analytics
- AI-Driven Predictive Analytics (Forecasting Future Outcomes)
- AI models for predictions,
- NLP-based sentiment analysis
- AI-Enhanced Prescriptive Analytics (Recommending Data-Driven Actions)
- AI-powered strategic decision support
- AI copilots in decision-making
Module 4: AI & Data Modelling for Business Intelligence
- What is AI-Driven Data Modelling?
- Relationship between structured & unstructured data in AI-powered decision-making
- AI-enhanced data warehousing & real-time analytics dashboards
- AI in Business & Financial Relationships
Module 5: AI-Driven Financial Analysis & Interpretation
- AI in Financial Performance Analysis
- AI-based revenue forecasting & budgeting automation
- AI-Powered Financial Automation
- NLP-powered financial reporting automation
- AI-driven invoice processing & reconciliation
- Real-World Example: How AI is transforming financial strategy & regulatory compliance
Module 6: AI Case Studies & Business Applications
- Industry Examples of AI in Data Analytics
- Final Takeaways & Q&A
Who should attend
This workshop is designed for senior leaders, decision-makers, and executives who want to bridge the gap between AI capabilities and business strategy, ensuring their organizations stay ahead in the age of digital transformation.
Methodology
- Case Studies & Real-World Examples
- Hands-on AI Tool Demonstrations
- Group Discussions & Problem-Solving Activities
- Practical Exercises & Simulations
Profile of Divya Arora Hans

In addition Divya also specializes in Academic and Corporate and Government Trainings and consulting engagements, Insights generation, decision making, driving efficiency in processes, Process Automations and creating roadmap for use of Artificial Intelligence and automation for organizations to enhance data driven decision making.
She has excellence in her oration and has been responsible for conducting CEO round tables and training Faculty members, Students and staff of prestigious Academic institutions and Leadership teams across public sector , corporates,
Government and SME’s both in Singapore and Globally
Key Experience
• National University of Singapore (NUS)
• Nanyang Technological University (NTU) – Training Adult Learners
• Singapore Management University (SMU)
• Singapore University of Social Sciences (SUSS)
• Ministry of Foreign Affairs Singapore– Trained across 25 countries
• Ministry of Defence (MINDEF)
• Institute of Singapore Charted Accountants (ISCA)
• 1FSS
• Agency for Integrated Care- Ministry of Health
• UWCSEA – United world college South east Asia
• Murdoch University – Australian university
• Association of Chartered Certified Accountants (ACCA)
Sector Experience
• Academia
• Universities
• Education Sector
• Finance and Accounting
• Government Sector – Multiple Ministries across Singapore
• Public sector
• FMCG
• Healthcare
Key Trainings conducted across above sectors
• Artificial Intelligence & Generative AI
• Data Visuaization
• Power BI and Tableau Trainings
• Data Analytics & Machine Learning
• Data Visualization and Big Data
• Creating Data Dashboards & Excel Expertise
Professional and Technical qualifications
• Masters in Business Economics
• Masters in Business Administration
• a certified Green Belt Six sigma professional.
• Economics (Hons)