This course helps you transform business data into valuable assets. By blending strategic and tactical frameworks, you’ll learn how to leverage internal and external big data to drive digital transformation, enhance business processes, and gain competitive advantage. You’ll acquire practical tools to generate actionable insights, make evidence-based decisions, and sustainably create business value in both local and global markets.
Your benefits
- Identify and explain a business problem or opportunity relevant to Business Data Analytics in your organisation or industry
- Apply course concepts, frameworks, methods, and tools to analyse business challenges using business data analytics
- Critically evaluate the conceptual and practical implications of business data analytics and its real-world applications
- Develop and communicate actionable insights from big data to drive business value and digital transformation
About the course
This course provides participants with an in-depth exploration of business data analytics and its potential to generate competitive advantages. Through a combination of theoretical frameworks and practical tools, you will learn how to turn big data sets into strategic assets that can drive decision-making and enhance business processes.
Key topics include three paradigms for leveraging new technologies, a framework for transforming data into business value, and practical applications of visual analytics, text analytics, and predictive analytics. A pilot project on your own company’s data (or on a synthetic datasheet if your company’s data is unavailable) will provide hands-on experience in applying the concepts learned. The course combines conceptual knowledge with practical insights, preparing you to implement data-driven solutions in your organisation.
Key themes
- Conceptual Framework for Business Data Analytics
- Framework for Value Generation from New Technologies
- Methods and Tools for Visual Analytics and Predictive Analytics
- Pilot Project on your own company’s business data set.
