![case study](https://cdn.quantiphi.com/2024/03/2e61b6bc-data-hub-platform-for-healthcare-insights.png)
Data Hub Platform for Healthcare Insights
Life SciencesBusiness Impacts
Customer Key Facts
- Location : Boston, Massachusetts
- Industry : Information Technology & Services
- Size : 100+ Employees
Problem Context
The customer is a healthcare insights provider that works on large-scale, sensitive, unstructured customer healthcare data. They needed a healthcare insights cloud platform that can be used by both payers and providers to manage their native data management solutions.
Challenges
- Providing data lifecycle functions as scalable connectors exposed in the form of REST API to the end users
- Handling extremely sensitive healthcare data and ensuring legal compliance
- Ensuring ingestion of huge unformatted data in stipulated time frame and in a fixed format, with minimal errors
![](https://cdn.quantiphi.com/2024/03/challenge.jpg)
Technologies Used
![Apache Spark](https://cdn.quantiphi.com/2024/02/Apache-spark.png)
Apache Spark
![Hortonworks Data Platform](https://cdn.quantiphi.com/2024/03/Hortonworks-Data-Platform.png)
Hortonworks Data Platform
![Apache Hive](https://cdn.quantiphi.com/2024/02/Apache-Hive.jpg)
Apache Hive
![Apache Kafka](https://cdn.quantiphi.com/2024/03/Amazon-Managed-Streaming-for-Kafka@4x.png)
Apache Kafka
![Terraform](https://cdn.quantiphi.com/2023/10/terraform.png)
Terraform
![Amazon RDS](https://cdn.quantiphi.com/2024/02/a5cc314d-amazon-rds.png)
Amazon RDS
![Amazon Elastic](https://cdn.quantiphi.com/2024/03/Amazon-Elastic-File-System_EFS_light-bg@4x.png)
Amazon Elastic
![Amazon EC2](https://cdn.quantiphi.com/2024/02/Amazon-EC2_light-bg@4x.png)
Amazon EC2
![Amazon Redshift Spectrum](https://cdn.quantiphi.com/2024/02/Amazon-Redshift_light-bg@4x-1.png)
Amazon Redshift Spectrum
![Amazon S3](https://cdn.quantiphi.com/2024/02/9c40e5d8-amazon-s3.png)
Amazon S3
![Amazon Kinesis](https://cdn.quantiphi.com/2024/03/Amazon-Kinesis@4x.png)
Amazon Kinesis
Data Lake Platform for Distribution and Insight Generation
Solution
Quantiphi helped the customer build out the entire platform that hosts the data lake as well as build out the endpoints for data distribution. The platform enables its customers to increase operational excellence of their data assets by centralizing siloed and unstandardized data from legacy systems, enabling better care and enhanced experience for their patients at lower costs.
Results
- Increased operational excellence
- Secure data management platform