Duration:

5 online sessions × 2–2.5 hours each (delivered across 5 consecutive days)

Who Should Attend:

• Digital and transformation leaders
• Heads of data, operations, and innovation
• Business and IT stakeholders managing platform change
• Consultants delivering end-to-end transformation solutions

Training Outcomes:

• Grasp the principles of data-powered digital transformation
• Build fluency in big data architecture and technology stacks
• Lead data-led innovation, experimentation, and analytics-driven growth
• Design scalable, ethical, and compliant data ecosystems
• Translate analytics into performance, agility, and automation

Course Topics:

1. Digital Transformation in a Data-Driven World
   • Redefining transformation through data
   • Sector-specific disruptions
   • Value chain evolution
     
2. Big Data Infrastructure & Tooling
   • Core technologies: data lakes, streaming, cloud stacks
   • Integrating platforms and pipelines
   • Blueprinting future-ready data environments
     
3. Experimentation, Analytics, and Insight
   • Hypothesis-driven innovation
   • From dashboards to data apps
   • Enabling cross-functional data squads
     
4. Governance, Privacy, and Responsible Data Use
   • Data ownership and stewardship
   • AI ethics and compliance
   • Embedding governance into data workflows
     
5. Data-Driven Automation & Business Value
   • Operational optimisation via automation
   • Predictive insights and dynamic workflows
   • Performance tracking and KPI alignment