• What is Business Intelligence (BI) and what does it do?
• Importance of BI in business organisations
• Data Analytics and its benefits
• Applications of data analytics
• Key differences between BI and data analytics

Case Discussions: Applications of Business Intelligence and Data Analytics

1. Citadel Securities – Predictive Analytics in Trading
   • The role of predictive analytics in achieving superior trading outcomes
   • Predict market trends and execute high-frequency trades in a competitive trading environment
2. BlackRock – Portfolio and Asset Management
   • How it aggregates data from diverse sources to provide real-time insights
   • Impact on portfolio management and regulatory compliance
   • Market risks: Shifts in customer preferences toward eco-friendly products and services

1. Bloomberg Terminal – Financial Data Aggregation and Analytics
   • Integrating vast amounts of financial data with analytics and visualization tools in real-time
   • How it transforms data into actionable intelligence
2. Kenanga Investment Bank – Robo Advisory Services
   • Pioneered innovations in robo-advisory and algorithmic trading
   • Integrate analytics for better portfolio management, customer insights, and trading performance

Challenges and Solutions in BI and Data Analytics

• Data Quality – Handling of immense volume and velocity of data in high-frequency trading without errors
• Data Integration – Management of vast and diverse data sources across global markets
• Data Security – Integration of risk modeling with portfolio optimization
• System Reliability – Keeping data real-time and comprehensive while reliable for global markets