📈 Customer Success Stories

Customer SuccessStories

Real results from enterprises using Qry to transform their data analysis with conversational AI and multilingual capabilities.

78%
Average Time Reduction
$1.8M
Average Annual Savings
28 days
Average Implementation
Customer Success Stories

Real Results from Real Companies

See how organizations across industries have transformed their data analysis with Qry

Featured Case Study
Global Financial Services
F

Global Financial Services

Financial Services

Implementation: 30 days

Challenge:

Needed to query a legacy mainframe database alongside their modern data warehouse, while supporting analysts in 15 countries.

Solution:

Deployed Qry on-premise, using the Trino connector to query the mainframe and federate results with their Snowflake data warehouse.

Data Source Coverage
100%
Languages Supported
50+
Annual Savings
$2.4M
Faster Risk Analysis
85%
"
Qry was the only solution that could connect to our legacy mainframe. The Trino integration is a game-changer for us. We can now get a complete view of our data, regardless of where it lives.
— Chief Risk Officer
Healthcare Network
H

Healthcare Network

Healthcare

Implementation: 45 days

Challenge:

Needed to analyze petabytes of patient data for clinical research, but their existing tools couldn't handle the volume.

Solution:

Implemented Qry's massive data handling capabilities to analyze the full dataset, using long-term memory to track patient cohorts over time.

Scale Analysis
Petabyte
Compliance Score
90%
Research Projects
50+
ROI Achieved
6 months
"
Qry's ability to handle our massive datasets is incredible. We can now run analyses that were previously impossible, and the long-term memory helps us track patient outcomes over years, not just months.
— Director of Clinical Research
E-commerce Platform
E

E-commerce Platform

Retail & E-commerce

Implementation: 21 days

Challenge:

Needed to provide a consistent data analysis experience for their hybrid cloud environment, with data in both AWS and on-premise servers.

Solution:

Deployed Qry in a hybrid model, allowing analysts to seamlessly query data across their entire infrastructure as if it were a single source.

Cloud Deployment
Hybrid
Faster Decision Making
12x
Revenue Increase
40%
Databases Unified
8
"
Qry's hybrid deployment model was a perfect fit for our infrastructure. Our analysts don't have to worry about where the data is, they just ask questions and get answers.
— VP of Product Analytics

See More Success Stories

Explore detailed case studies with implementation guides, ROI analysis, and technical architectures

Industry Success Metrics

78%
Average Time Reduction
$1.8M
Average Annual Savings
28 days
Average Implementation
450%
Average ROI
Implementation Timeline

30-Day Implementation

Get up and running quickly with our proven implementation methodology. Most organizations are seeing value within the first week.

Days 1-7

Setup & Configuration

Initial deployment and basic configuration

Environment setup and security configuration
Database connections and authentication
User provisioning and basic RBAC setup
Connect to a legacy data source via Trino
Deliverable:
Working Qry instance with secure access
Team effort: 2-3 technical team members
Days 8-21

Integration & Training

Deep integration and user onboarding

Advanced RBAC and group-based permissions
Domain agent configuration for your industry
Data profiling setup for enhanced context
User training and best practices workshop
Train a custom domain agent on your terminology
Deliverable:
Fully configured system with trained users
Team effort: 5-8 team members across IT and business
Days 22-30

Optimization & Scale

Performance tuning and enterprise rollout

Performance optimization and query tuning
Advanced feature enablement (memory, agents)
Enterprise-wide rollout to all teams
Success metrics and ROI measurement setup
Deliverable:
Production-ready enterprise deployment
Team effort: Organization-wide adoption

Beyond 30 Days: Advanced Features

Continue building advanced capabilities and expanding your data intelligence platform

Week 2

Advanced Configurations

  • Multi-database federation
  • Custom domain agents
  • Advanced security policies
Week 4

Enterprise Features

  • Audit logging
  • Custom integrations
  • Advanced analytics
Week 6

Scale & Optimize

  • Performance tuning
  • Global rollout
  • Success measurement
Week 8

Center of Excellence

  • Best practices documentation
  • Power user training
  • ROI validation

Implementation Success Metrics

< 30 days
Time to Production
From initial setup to full enterprise deployment
< 2 hours
User Training
Average time to productivity for new users
99.9%
Uptime SLA
Enterprise-grade reliability and availability
< 6 months
ROI Realization
Typical time to achieve positive ROI

Ready to Get Started?

Schedule a consultation to create your custom implementation plan

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