Case Study

Create an intelligent strategy for using data and AI in your business. Get clear steps, choose the right tools, and gain an edge over competitors.

Challenge

This initiative has been successfully implemented for customers in diverse sectors, including commercial banking, insurance, private wealth banking, and infrastructure. Our clients in these industries consistently faced one or more of these pressing challenges:

• Lack of clear vision for integrating Data & AI into business processes
• Difficulty in assessing current data maturity and AI readiness
• Struggle to prioritize Data & AI initiatives for maximum business impact
• Challenges in selecting appropriate technologies and tools for Data & AI implementation
• Inability to align Data & AI strategies with overall business objectives
• Shortage of skilled personnel to execute Data & AI initiatives effectively

Roles

This initiative usually involves the following people & roles. They can be found either within your organisation or at a consulting partner.

• Chief Data Officer (CDO) or Chief Analytics Officer (CAO)
• Data & AI Strategy Consultant
• Enterprise Architect
• Business Process Analyst
• Data Scientist

Impact

After a routine check-up with our clients, we confirmed several of the below improvements:

1. Vision: Customers established clear, actionable Data & AI strategies aligned with business goals
2. Maturity: Gained comprehensive understanding of current data and AI capabilities
3. Prioritization: Identified and sequenced high-impact Data & AI initiatives
4. Technology: Selected optimal tools and platforms for Data & AI implementation
5. Alignment: Ensured Data & AI strategies support and enhance overall business objectives
6. Roadmap: Developed detailed, phased implementation plans for Data & AI initiatives