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Duration 14 hours
Course Outline
Introduction to LLMs and Business Intelligence
- Overview of LLMs within the scope of business analytics
- The function of LLMs in driving data-based decisions
- Recognizing the strengths and constraints of LLMs
Data Analysis Using LLMs
- Readying datasets for LLM processing
- Methods for data extraction and handling via LLMs
- Creating reports and visualizations with the aid of LLMs
Market Analysis Through LLMs
- Interpreting sentiment analysis and customer feedback
- Gathering competitive intelligence using LLMs
- Forecasting market trends via predictive modeling
Strategic Planning with LLMs
- Weaving LLM insights into overall business strategy
- Conducting scenario planning and risk evaluation with LLMs
- Developing business plans grounded in data
Case Studies and Sector-Specific Applications
- Examining successful LLM implementations across different industries
- Discussing how LLMs influence business results
- Collective analysis of real-world business challenges
Ethical Implications and Data Governance
- Addressing ethical issues related to LLM use in business intelligence
- Safeguarding data privacy and compliance in LLM deployments
- Establishing best practices for data governance with LLMs
Practical Project
- Applying LLMs to solve a specific business intelligence problem
- Peer evaluation and joint problem-solving sessions
Summary and Next Steps
Requirements
- Foundational knowledge of business intelligence concepts
- Practical experience in data analysis and entry-level programming proficiency
- Basic understanding of machine learning principles
Target Audience
- Business analysts
- Data scientists
- Strategic planners
