The DataRadar™ Data Observability Framework
Data teams are not flying blind because they lack tools. They are flying blind because their tools only cover half the picture. The DataRadar™ Data Observability Framework closes every gap with five connected capabilities: Data Reliability, Pipeline Health, Performance Optimization, Usage Intelligence, and Cost Visibility. The result is 100% data visibility at a 5X ROI.
What You'll Learn
DataRadar™ is the only Native App that covers all five dimensions—quality + cost—within a unified solution, deployed natively inside your Snowflake environment in under 30 minutes, with the option to pay with existing Snowflake credits.
Data Observability
What It Monitors
Ensure accuracy, completeness, and consistency. Detect anomalies early. Deliver AI-ready data always.
Why It Matters for AI
Garbage in, garbage out—AI amplifies data issues
Pipeline Health
What It Monitors
Track lineage, volume, freshness, and health. Know where data comes from and why it broke.
Why It Matters for AI
Broken pipelines = stale models = bad predictions
Performance Optimization
What It Monitors
Monitor and optimize warehouse, query efficiency, and resource use. Prevent bottlenecks before they hit.
Why It Matters for AI
Bottlenecks delay model training and inference
Usage Intelligence
What It Monitors
Gain visibility into utilization at the user, role, and department level, identify top consumers, and optimize.
Why It Matters for AI
Identifies high-value data and compliance risks
Cost Visibility
What It Monitors
Track spend, spot inefficiencies, and get real-time alerts on cost spikes before they become problems.
Why It Matters for AI
AI workloads consume massive compute—costs kill projects
1. Marelas, P. (2024, October 22). The role of observability within organizations is changing: Key findings from the 2024 Observability Forecast. New Relic. https://newrelic.com/blog/news/insights-2024-observability-forecast
The Five Pillars of the DataRadar™ Data Observability Framework.
Complete data observability requires five pillars:
- Data Reliability: Verifies the accuracy, completeness, consistency, and freshness of data.
- Pipeline Health: Tracks lineage, freshness, latency, and throughput.
- Performance Optimization: Monitors warehouse health, query efficiency, and resource use to prevent AI workload bottlenecks.
- Usage Intelligence: Shows who accesses data, when, and how to support governance and compliance.
- Cost Visibility: Tracks Snowflake credit consumption, identifies waste, and forecasts spending. Most vendors cover only one or two pillars, forcing enterprise organizations to assemble disconnected point solutions. The DataRadar™ framework unifies all five, so organizations maximize ROI instead of paying for tools that each show only part of the picture.
Speaker
Ken Kasee
GTM Strategy DirectorKen Kasee is a three-time Telly Award-winning content marketer with over 25 years of experience translating complex SaaS technology into clear, engaging stories.
At DataRadar™, he leads educational content strategy, helping data and analytics leaders understand modern data observability. Previously, he led the Life Science go-to-market strategy at IQVIA and scaled the Insurtech startup Ensurem 30x to over $150M in revenue, then sourced its acquisition by Health Plan One. He holds a bachelor's degree in economics and art history from the University of Toledo and an MBA from the University of Illinois.