Case Study

A mapping exercise that shows how good data and AI can help your business. It focuses on making better decisions, following rules, and building confidence in AI-powered systems.

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:

• Data silos and inconsistencies across departments, leading to conflicting insights and decision-making paralysis
• Lack of trust in AI-generated recommendations due to data quality and algorithm transparency concerns
• Difficulty in meeting increasingly stringent regulatory requirements around data governance and AI ethics
• Inefficient manual processes for data cleaning and preparation, causing delays in AI model deployment and updates
• Inability to fully leverage AI potential due to fragmented data strategies and unclear data ownership within the organization

Roles

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

• Partner (+10 years experience)
• Program/Change Manager
• Senior Data (Domain) Expert
• Data Analyst

Impact

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

1. Overview: Get a comprehensive report of the benefits of trustworthy Data & AI tailored to your organisation
2. Decision-Making: See how good data and AI can help you make smarter business choices
3. Trust: Discover ways to build confidence in your AI systems so you and your team can rely on them
4. Savings: Find out where clean data and AI can cut costs and boost your bottom line
5. Future-Proof: Get a roadmap for using data and AI to stay ahead of the competition