Snowflake semantics for every industry.
AtScale’s universal semantic layer governs analytics and AI across the industries that depend most on trusted data. One definition of truth — delivered to every BI tool, every AI agent, every warehouse.
Financial Services
The Power of the Semantic Layer in Financial Services
Consistent metric definitions simplify complexity, improve decision-making, and deliver significant ROI through cost optimization and governance for financial services firms running Snowflake.
Key Use Cases on Snowflake
- Portfolio Management and Research
- Risk and Regulatory Analytics
- Customer 360 and Marketing
- Fraud Detection (AML, KYC, transaction data)
$2M+
analytics project cost savings
3×
increase in ROI of IT investments
Insurance
The Future of Insurance Runs on Semantics
AtScale's Universal Semantic Layer modernizes insurance analytics by creating a centralized, business-friendly data model. Consistent metric definitions across Excel, Tableau, and AI platforms enable faster insights and stronger data governance.
Key Use Cases on Snowflake
- Claims Optimization (fraud detection, triage, cycle time reduction)
- Member and PMPM Analytics
- Regulatory Reporting and Audit Compliance
- Customer 360 and Retention Strategy
- Actuarial and Underwriting Acceleration
12×
faster dashboards
70%
reduction in cloud compute costs
Manufacturing
The Future of Manufacturing Runs on Semantics
A universal semantic layer modernizes manufacturing analytics by unifying fragmented data across ERP, IoT, and MES systems. Enables consistent KPIs, self-service analytics, and governed insights for both BI tools and AI agents.
Key Use Cases on Snowflake
- Supply Chain Optimization (real-time inventory visibility)
- Production Efficiency Analytics (bottleneck and downtime identification)
- Quality Control and Compliance Standardization
- Customer 360 and Predictive Maintenance
1×
unified semantic layer across ERP, IoT, MES
100%
governed metrics for BI tools and AI agents
Retail
The Power of the Semantic Layer in Retail
Retailers can implement a semantic layer to standardize business logic and KPI definitions across fragmented data sources. Enables consistent insights across analytics tools and AI systems, reducing costs and accelerating decision-making in omnichannel retail.
Key Use Cases on Snowflake
- Customer 360 (CRM, POS, ecommerce, loyalty data)
- Merchandising and Inventory Performance
- Omnichannel Performance Analysis
- AI-Powered Demand Forecasting
- Natural Language Query and Generative AI Enablement
$2M+
analytics project cost savings
1×
unified semantic layer across all channels