AI Ethics and Governance
03/11/2024AI for Marketing and Sales Optimization
03/11/2024AI for Business Intelligence
£4,500.00
Overview:
This advanced course provides a comprehensive understanding of integrating Artificial Intelligence (AI) into Business Intelligence (BI) workflows, with a focus on the latest tools and techniques that transform data into actionable insights. Participants will explore how to use AI for advanced data analysis, predictive forecasting, automated workflows, and interactive dashboards. By the end, they’ll be equipped to implement AI-driven BI solutions that enhance strategic decision-making, improve operational efficiency, and drive business growth.
Program Objectives:
At the end of this program, participants will be able to:
- Understand AI's transformative role in modern BI and its applications across industries.
- Implement machine learning models to improve data analysis and uncover actionable insights.
- Leverage predictive analytics for accurate business forecasting and scenario planning.
- Automate data workflows using AI-powered tools to streamline reporting and ensure data accuracy.
- Integrate conversational AI and narrative-driven insights into BI dashboards for more intuitive decision-making.
- Use AI-enhanced BI tools like Power BI, Tableau, and low-code/no-code platforms for customized business applications.
- Develop comprehensive AI-enhanced BI dashboards that provide real-time insights and support strategic decisions.
Target Audience:
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- Business Intelligence Analysts and Data Analysts
- Data Scientists, BI Managers, and Directors
- IT Professionals and Data Engineers
- Business Strategists, Decision Makers, and Financial Analysts
- Business Consultants and Executives seeking to leverage AI for business insights
Program Outline:
Day 1: Introduction to AI in Business Intelligence and Workflow Automation
- Overview of AI in Business Intelligence – Applications and Impact on Industries.
- AI-Driven Data Automation and Workflow Optimization in BI.
- AI Technologies Transforming BI – Automated Insights, Data Enrichment, and Anomaly Detection.
- Overview of AI-Enhanced BI Tools (Power BI, Tableau) and Low-Code Platforms.
- Hands-On Exercise: Automating Data Workflows and Reports in Power BI.
- Reflection & Review: Group Discussion on AI’s Role in Increasing BI Efficiency and Accessibility.
Day 2: Enhancing Data Analysis with Machine Learning
- Introduction to Machine Learning in BI – Concepts and Practical Applications.
- Supervised, Unsupervised, and Semi-Supervised Learning for Business Insights.
- Implementing ML Models for Customer Segmentation, Trend Analysis, and Clustering.
- Using Python and R for Machine Learning in Power BI and Tableau.
- Hands-On Exercise: Building and Evaluating a Machine Learning Model in Tableau.
- Reflection & Review: Evaluating Machine Learning Applications in BI for Enhanced Analysis.
Day 3: Predictive Analytics and Advanced Forecasting Techniques
- Fundamentals of Predictive Analytics and Its Value in BI.
- Building Predictive Models for Forecasting Sales, Demand, and Market Trends.
- Time Series Analysis and Advanced Forecasting Techniques (ARIMA, LSTM Models).
- Best Practices for Data-Driven Forecasting in BI Dashboards.
- Hands-On Exercise: Developing a Predictive Model with Time Series Data in Power BI.
- Reflection & Review: Discussing the Role of Predictive Analytics in Proactive Decision-Making.
Day 4: Conversational Analytics and Interactive Dashboards
- Introduction to Conversational Analytics for BI – Making Insights Accessible.
- Designing Interactive, AI-Powered Dashboards with Natural Language Processing (NLP).
- Data Narratives – Transforming Complex Data into Simple, Narrative-Driven Insights.
- Practical Examples of Conversational Analytics in Real-World BI Applications.
- Hands-On Exercise: Creating an Interactive Dashboard with NLP for User Queries in Power BI.
- Reflection & Review: Discussing the Benefits and Limitations of Conversational Analytics in BI.
Day 5: Strategic BI with AI, Future Trends, and Capstone Project Presentations
- Integrating AI for Strategic BI – Advanced Data Visualization and Real-Time Analytics.
- Real-World Case Studies of AI-Driven BI Success Stories Across Industries.
- Future of AI in BI – Augmented Analytics, Generative AI, and Proactive Insights.
- Capstone Project: Developing a Comprehensive AI-enhanced BI Dashboard Integrating Predictive Models, Automation, and Conversational Analytics.
- Reflection & Review: Final Project Presentations, Peer Feedback, and Group Discussion on the Future of AI in BI.