Case Study

Supercharge your data catalog with a custom AI layer. Map metadata automatically, and use an integrated chatbot to help everyone find and understand data quickly and easily.

Challenge

This initiative has been successfully implemented for customers in the financial sector.
Our clients in these industries consistently faced one or more of these pressing challenges:

• Keeping the Data Catalog up-to-date is too costly and boring
• Complexity in automating metadata mapping across diverse data sources
• Difficulty in maintaining accurate and up-to-date data lineage information
• Ensuring user-friendly access to complex data structures and relationships
• Balancing comprehensive data documentation with ease of use and adoption

Roles

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

• Data Catalog Specialist
• AI/ML Engineer
• Data Governance Expert
• Data Stewards
• Domain Owners

Impact

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

1. Efficiency: Dramatically reduced time spent searching for and understanding data
2. Accuracy: Improved data lineage tracking, enhancing data trustworthiness
3. Accessibility: Increased data utilization through intuitive GPT-powered chatbot interface
4. Compliance: Enhanced ability to meet regulatory requirements with clear data lineage
5. Insight: Enabled deeper understanding of data relationships and dependencies
6. Innovation: Fostered data-driven innovation by making complex data more accessible