GenAI Case Study: Data Assistant
Human Resources Analytics Assistant
How EFS Networks built a natural-language data assistant on AWS that lets non-technical managers self-serve analytics — cutting report creation time by 88% and achieving 4.5x ROI within six months.
Business Challenge
Managers lacked the technical skills to query Amazon Athena or QuickSight directly, causing delays and constant ad-hoc report requests. The analytics team was overwhelmed with routine data pulls, leaving no capacity for strategic analysis.
AWS-Powered Solution
EFS Networks designed and deployed a generative AI data assistant that translates natural-language questions into SQL queries with enterprise-grade security:
- Amazon Bedrock (Claude 3 Instant) — Natural-language to SQL translation for intuitive data access
- Amazon Athena + Glue Catalog — Query execution and schema management across distributed data sources
- OpenSearch Serverless + Titan Embeddings — Semantic context and metadata grounding for accurate query interpretation
- QuickSight API — Automatic visual summary rendering from query results
- Amazon Verified Permissions — Row-level security enforcement per user role
- SageMaker Pipeline — Continuous learning through user feedback ingestion on query accuracy
Outcomes
| Metric | Before | After | Change |
|---|---|---|---|
| Report creation time | 2 days | 15 min | ↓ 88% |
| Analyst workload | 100% | 35% | ↓ 65% |
| Query accuracy | — | 0.94 F1 | — |
| Cost per report | $5.20 | $0.70 | ↓ 87% |
Line managers now self-serve data insights securely. Analysts have been reallocated to strategic projects. The company achieved 4.5× ROI within six months.
Ready to unlock self-service analytics with generative AI?
Talk to EFS Networks