Programme Content
Understanding what is strategy, what is value & what is competitive advantage. Focusing on analytics and data
Using data for strategy creation and implementation (customers and data as critical assets for competitive advantage)
The introduction of the SOLD model: Strategy, Organization, Leadership, Data Building an organisation as a data processing system
Identifying the types of data that can be a source of value and how: understand your customer, understand your competition, understand your company.
Understanding that everything starts with data governance Mastering Data footprint
Discovering the different types of analytics
Implementing new KPIs from new data sources and use them to predict business success
Experimentation and testing, AB testing techniques
Foxintelligence inception: market intelligence on online consumers
How to avoid crashing when scaling: why you should consider data as a product, data processing as a factory
Data science project management: how to plan and organize an ML project
Same data, different usages: building KPIs and methodologies to address different problem
