Querymate Case Study
Empowering Business Teams with Instant, Self-Service Data Access
About the Client
A leading Continuing Education and Training provider, enabling over 3.2 million training placements and supporting 34,000+ organizations. The client plays a critical role in enhancing workforce employability across the country.
The Challenge
As the organization expanded its digital learning ecosystem, decision-makers across departments struggled with timely access to data.
Non-technical users heavily relied on analysts for even basic insights, which led to:
- Frequent delays in reporting
- Limited flexibility in analyzing data
- Overload on IT teams
- Difficulty navigating traditional BI tools The client needed a solution to empower business teams with real-time, self-service access to data without requiring SQL skills or technical expertise.
The client needed a solution to empower business teams with real-time, self-service access to data without requiring SQL skills or technical expertise.
Our Solution
We implemented InsightFlow, an AI-powered data assistant that transforms natural language queries into optimized SQL, enabling non-technical users to access data effortlessly.
Key Capabilities Delivered:
- Natural language to SQL conversion using GPT-4.1 Mini
- Multilingual and voice support for ease of access
- Automated chart and report generation
- Integration with Snowflake and other structured data platforms
- Secure authentication via Okta and AWS Secrets Manager
Business Impact
- Faster Insights: Business users generate reports without waiting on analysts
- Reduced Costs: Lowered training and BI tool maintenance effort
- Improved Productivity: Repetitive query tasks now automated
- Enhanced Security: Centralized, secure access through Okta
- Scalable Across Teams: Adaptable for HR, operations, and leadership decision-making
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