Accelerating Analytics and AI Insights for AnalyticOwl with Snowflake
Customer Background
AnalyticOwl helps advertisers optimize ad placements across digital, CTV/OTT, and broadcast channels. Their platform captures billions of impressions and provides minute-by-minute attribution reporting. Leveraging Sigma Solve and Snowflake, AnalyticOwl launched Owl.Media, an AI-driven platform for ad placement, reporting, and creative insights.
Industry
Challenges
AnalyticOwl’s previous analytics stack on Redshift faced significant limitations
These challenges slowed decision-making, increased costs, and restricted their ability to launch innovative AI-driven services.
- High Costs: 30+ TB warehouse cost $200K+/year.
- Slow Performance: Reports took 3–5 minutes to load; query timeouts were common.
- Manual Report Development: Every new report required custom SQL tuning, delaying insights.
- Cumbersome Data Sharing: Exporting data for customers involved restoring Redshift copies and SFTP transfers — time-consuming and expensive.
- Limited AI Insights: Traditional reporting lacked AI-driven summaries, requiring manual interpretation.
The Solution
Sigma Solve modernized AnalyticOwl’s analytics stack with Snowflake, enabling AI-driven insights and new product innovation:
1. High-Performance Data Platform
- Migrated 30+ TB from Redshift to Snowflake.
- Consolidated multiple sources into a unified data warehouse with sub-second query response times.
2. AI-Powered Analytics & Product Launch
- Integrated AI on top of Snowflake for automatic report summaries and insights.
- Enabled launch of Owl.Media, providing AI-driven ad placement recommendations, creative guidance, and unified attribution reporting.
3. Cost-Efficient Development & Data Sharing
- Leveraged Snowflake’s zero-copy cloning for instant development, UAT, and customer data copies.
- Simplified secure sharing and offline access, eliminating SFTP workflows.
4. Operational Resilience
- Eliminated SQL deadlocks and query timeouts.
Analysts shifted focus from query tuning to generating insights.
The Outcome
Sigma Solve’s Snowflake migration empowered AnalyticOwl to launch Owl.Media, a fast, AI-driven analytics and ad placement platform. The result: faster insights, lower costs, operational efficiency, and the ability to scale AI-powered products.
Biggest Value: AI-Driven Customer Insights
Before Owl.Media, advertisers buying media through AnalyticOwl faced painful reporting workflows:
- Data latency caused long waits for dashboards and reports
- Queries often timed out for large campaigns
- Reporting was entirely point-and-click, with no intelligent guidance
With Snowflake + AI insights integrated into Owl.Media:
- Customers now generate complex reports in seconds, improving the reporting experience by at least 50%
- An AI Insights Bot allows users to converse naturally about their campaigns, asking questions like “Which placements delivered the highest ROI this week?” or “Which segments are trending up?”
- The AI Bot combines real-time campaign data with a broader knowledge base, providing precise, interactive insights rather than static dashboards
Business impact:
- Advertisers understand their ROI faster and more accurately
- Agencies and media buyers can optimize campaigns in near real-time
- Differentiation: competitors lack this AI-driven end-customer experience, giving Owl.Media a clear competitive edge
Report load times
3–5 minutes to <1 second
New report creation effort
Hours to Minutes
SQL deadlocks/timeouts
Multiple/week to 0
Data warehouse costs
$200K+/year to ~$50–60K/year
Time to insights
Hours to Instant (80–90% faster)
Dev/UAT/export clones
Slow/expensive to Instant, cost-free
Customer reporting engagement
Baseline to 2–3x increase
Client Testimonial
