How Lloyds director of data management plans to have controls over 90% of critical data this year
Director Jo Riseborough has built the data foundations at Lloyds for controlled and trusted critical data sets.
Financial institutions are increasingly under pressure to manage vast, complex datasets, especially with rising data governance mandates and the strategic importance of AI-driven insights requiring trusted data.
This highlights the growing industry-wide effort by large financial institutions to establish robust data foundations, crucial for compliance, risk management, and leveraging advanced analytics and AI applications.
The focus on controlling 90% of critical data by a major bank signifies a maturing approach to data management from reactive compliance to proactive strategic asset.
- · Financial data governance software providers
- · Banks with strong data management
- · AI/analytics developers
- · Financial institutions with poor data hygiene
- · Legacy data management systems
Improved data quality and compliance within Lloyds Banking Group for critical datasets.
Increased ability for Lloyds to deploy AI models effectively and ethically due to trusted input data.
Potential for early adopters of robust data governance to gain competitive advantages in risk, efficiency, and new product development.
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