Boosts accuracy of matching investigators with trial by 60%
Client Context
US based Clinical Trial Company implements Cloud Data Ingestion Pipeline, Machine Learning & Information Retrieval to ingest data from multiple sources, dedupe Investigators, and improve searchability.
The Challenge
The customer was facing issues with managing their large database of investigators with data duplication issues, finding the right investigators, and matching them with clinical trials.
Our Approach
Goavega, an Elastic Partner and AWS expert implemented a managed Data Ingestion pipeline and Machine Learning Deduping model on Glue, AWS Sage Maker, and an investigator search portal backed by Elastic
Value Delivered
- Lower TCO due to managed pipeline
- 40% Increased recall due to Search Portal
- 75% reduction in process time due to ML driven deduping