The Data Landscape

The 2025 Financial Services Data Landscape report shows how banks, insurers, and FSIs are moving from AI pilots to governed, scalable analytics—and why data trust, consistency, and compliance now define competitive advantage. 

Inside the report: 

• Top priorities: Faster, more accurate decision-making under regulatory pressure—driven by real-time, auditable insight.
• State of maturity: Advanced analytics is widespread, but few have scaled AI-powered decisions across departments with consistent definitions.
• Core blockers: Fragmented data, inconsistent metrics, integration complexity, and governance gaps—especially missing semantic layers—limit scale.
• Access at scale: 31% plan to give at least 1 in 5 employees access to analytics, forcing a rethink of trust, control, and data products.
• AI agents: 40% already run bots or agents in production, making data quality, lineage, and metric consistency mission-critical.
• Case studies: Fannie Mae and goeasy show how governed semantic layers, standardized KPIs, and data-as-product models unlock real-time, compliant insights at scale.

Read the full report to understand the data foundations required for speed, scale, and reliable AI adoption—and how modern retailers are getting there.