Programme Overview 

The Power of AI to Transform Data into Actionable Intelligence

Artificial Intelligence (AI) has changed the game in business analytics making it more than just a trendy term. It has become a potent ally enabling businesses to use data-driven insights, optimise processes and make timely well-informed decisions that maximise opportunities and minimise risks. Generative artificial intelligence (GenAI) is revolutionising data analytics and business intelligence through task automation, enhanced content creation, and increased efficiency. With improvements in algorithms, processing power, and large data sets, AI integration into business analytics goes beyond conventional constraints providing real-time analytics, predictive capabilities, and efficient handling of structured and unstructured data. Gain a crucial advantage in the competitive landscape with SCHSBM’s Transforming Business Analytics with AI. This programme will examine how AI is changing business analytics and how you can use this innovative technology to achieve greater success.  

Through AI-powered data analytics, you will develop a greater understanding of your client markets and competitors to improve marketing strategies, enhance product offerings, identify new market trends, and spur innovation, growth, competitiveness, and profitability. This programme will demonstrate how to use AI-driven analytics to analyse complex datasets at unparalleled speeds by accelerating the analysis process and improving the precision of insights. Learn how AI-powered business analytics can increase the accessibility of data and data insights enabling companies to make remarkably accurate predictions about changes in the market consumer behaviour and business risks. You will learn how to leverage your data to transform your organisation’s current business practices and how to close any knowledge gaps that might exist between your C-suite and data analytics team. The programme will encourage you to adopt a test-and-learn methodology that uses experimentation to learn and improve your techniques and teach you how to transform model-based recommendations into valuable insights for more effective managerial decisions.
 
Programme Goals
 
The programme will allow you to:
 

• Develop your capabilities in the digital economy, data analytics, and artificial intelligence.
• Adopt hands-on business analytics and machine learning skills that are relevant for business.
• Study the latest GenAI tools and data analytics technologies.
• Leverage quantitative evidence-based insights to gain a competitive edge and develop quick efficient strategies.
• Improve your data analytics skills and amplify your professional value.
• Use the potential of generative AI to turn data into well-informed decisions that will enhance your organisation’s impact.

 
Programme Objectives
 
On successful completion of the programme, you will be able to:
 

• Analyse AI and machine learning models for business issues with open-source and commercial technologies.
• Transform data into a powerful and predictive strategic asset.
• Develop suitable analytics solutions to address complex business issues.
• Create powerful presentations that use data-driven storytelling to convey complex information to a range of stakeholders.

Programme Curriculum

• The Evolution of AI-enabled Business Analytics
  • AI-enabled Analytics for Business
  • Applications of AI-enabled Business Analytics
• Data Preparation and Cleaning
  • Types of Data
  • Good Analytics vs Bad Analytics
• Data Science Fundamentals
  • Descriptive Analytics
  • Predictive Analytics and Classification
  • Prescriptive Analytics
  • Statistical Concepts in an Applied Business Context
• Data Visualisation and Storytelling
  • Data Visualisation for Decision Making
  • Data Visualisation Tools
  • Creating Different Graphs and Chart Types
  • How to Apply Effective Storytelling Techniques in a Business Context
• Machine Learning for Business Applications
  • Machine Learning and the Machine Learning Workflow
  • Understanding Regression, Classification, and Clustering Problems and Objectives
  • Machine Learning Models (Logistic Regression, Decision Trees, SVMs, KNN, Random Forest)
  • Analysis Model Metrics and Reporting Results
  • Learning Programming Fundamentals in Python
  • Linking Business Challenges with ML Techniques
• Deep Learning and Generative AI
  • Principles of Neural Networks and their Architectures
  • Deep Learning
  • (De)convolutional Neural Networks
  • Recurrent Neural Networks
  • Generative Deep Learning
  • Deep Reinforcement Learning
  • Developing Deep Learning Models Based on Multiple (Big) Data Sources
• Natural Language Processing
  • Identifying Business Opportunities for Using Natural Language Processing
  • Transforming Unstructured Data into Structured Data
  • Building NLP Models Using State-of-the-Art NLP Tools
• Data-centric Decision Making
  • Decision Optimisation and Automation
  • Implementing AI-enabled Business Analytics
  • The Role of Analytics in Strategic Decisions
  • Translating Data-Driven Insights into Actionable Business Decisions

 
Action Learning

• Multidisciplinary Approach
• Practical Business Simulations
• Real-World Cases and Datasets

 
Who is this programme for?

• C-suite Executives seeking to make their organisations AI-ready
• Business Leaders responsible for decision making regarding the deployment of AI technologies
• Leaders seeking a greater understanding of the strategic, organisational and innovation implications of AI in business
• Mid- to Senior-level Managers who want to develop their capabilities in AI
• Marketing Professionals responsible for designing and implementing marketing strategies, who can benefit from the integration of AI-enabled business analytics
• Technology Officers responsible for their organisation’s technology strategy, who can benefit from understanding how AI can be integrated into the company
• Project Managers who can benefit from implementing AI tools for project analytics and performance optimisation
• Technical Professionals with existing AI and machine learning knowledge who are seeking to upskill and retool to improve business processes