– Changes driven by the explosion in data volumes
– The strategic role of data in the enterprise
– New data-centric products, services, and organizations
✔ UNDERSTAND | Illustration: Evolution of data usage in key sectors
✔ EVALUATE | Quiz: In your opinion… Are all business functions affected by Big Data?

– Definition of Big Data through the 5Vs (Volume, Velocity, Variety, Veracity, Value)
– Links between Big Data, BI, AI, and Machine Learning
– Real-world application examples in the financial sector
✔ UNDERSTAND | Case Study: Analysis of a Data Value Chain (from raw data to knowledge)
✔ EVALUATE | Quiz: In your opinion… What are the data quality challenges for a company?

– Modeling a Business Decision
– How Machine Learning Algorithms Work
– Prediction vs. Judgment vs. Action
– Steps in a Predictive Analytics Project
✔ APPLY | Practical Exercise: Identify the Data Needed for a Sales Forecast Model
✔ UNDERSTAND | Illustration: The Data-Driven Decision-Making Cycle in a Business
✔ EVALUATE | Quiz: In your opinion… Which Algorithm Should Be Used to Answer Which Question?

– Project Approach: Understanding, Acquisition, Preparation, Modeling, Deployment
– Business Intelligence and Data Analytics Tools
– Key Questions to Ask When Turning Data into Value, Key Success Factors
– Data Sources, Relational and Dimensional Databases, Granularity, Dimensions, Facts
✔ EXPERIMENT | Workshop: Building a Simple Descriptive Analysis Matrix (data > info > value)
✔ EVALUATE | Quiz: In your opinion… What should a relevant data model contain?

– Governance, security, quality, and compliance (GDPR, traceability, etc.)
– New data-related professions: data analyst, data scientist, etc.
– The role of finance professionals as information stewards
✔ UNDERSTAND | Brainstorming: What roles should finance play in data governance?
✔ APPLY | Case study: Identify the actions needed to develop a data-driven culture