Four Principles of Data Strategy That Are Changing Financial Services

Financial services firms face tighter regulation and rising pressure to deliver measurable returns from AI. Fragmented, inconsistent data increases costs, slows decisions and compounds operational and compliance risk. This guide presents four principles for building a more agile, trusted and accessible data foundation.

See how Workday and AWS can help tackle a costly data challenge, with McKinsey estimating banks spend up to $78 billion a year wrangling data – nearly 12% of global IT spend.

In this guide, you'll learn how to:

• Future-proof data architecture: Prioritize high-value use cases while keeping data models flexible enough to support new products, acquisitions and reporting needs.
• Accelerate reliable decisions: Reduce silos, duplication and reconciliation points by establishing trusted, unified sources of HR and finance data.
• Strengthen governance and access: Apply transparent security, clear data controls and cloud interoperability so teams and AI tools can use trusted data safely.