Cloud Analytics Modernization on AWS for Health Data Analytics Company
Challenge
The Healthtech Company required modernization of its existing system for a rapidly growing customer base. Legacy systems failed to meet growth needs due to poor scalability, security, and performance.
1. Demand for unlimited scaling possibilities
The company had previously relied on desktop-based and on-premise software for its developments and internal operations.
However, when the client sought to create a robust product that combined the features of a healthcare CRM with a Business Intelligence (BI) platform, it became clear that their traditional methods would fall short.
While the product was initially designed to manage data from just a few organizations, it was envisioned to eventually handle terabytes of data. The need for rapid scalability was a significant consideration in selecting the appropriate technical solution.
2. Utmost security for medical data
Managing both personal and medical patient data requires the maximum security, especially when safeguarding the company's proprietary information. In a cloud-based, multi-tenant architecture, where our Client offers the software to multiple distinct organizations, it's critical to ensure that the data of one organization remains isolated from others.
Failure to do so can lead to data breaches, regulatory infractions, operational challenges, and diminished trust from clients. Addressing this concern at the architectural level is of paramount importance.
3. Customized solutions for each tenant take too long
For a clear and intuitive presentation of patient data, each organization (or "tenant" from a technical standpoint) receives a set of Business Intelligence dashboards tailored to their needs. But requirements differ among tenants. For instance, one might manage data for 100 patients, while another oversees 5,000. Each client has a unique set and format of data as well.
Our client faced the challenge of efficiently crafting a unique solution for every tenant. Creating a single dashboard tailored to specific requirements could take 2 weeks to 1 month. If a client requires 20 distinct BI dashboards (such as one for diabetes analytics and another for cancer risk metrics), the cumulative period could extend from 40 to 80 weeks, or over a year.
Additionally, this approach requires a significant workforce, introducing the risk of human error — a significant concern when handling sensitive data.
The Healthtech Company required modernization of its existing system for a rapidly growing customer base. Legacy systems failed to meet growth needs due to poor scalability, security, and performance.
1. Demand for unlimited scaling possibilities
The company had previously relied on desktop-based and on-premise software for its developments and internal operations.
However, when the client sought to create a robust product that combined the features of a healthcare CRM with a Business Intelligence (BI) platform, it became clear that their traditional methods would fall short.
While the product was initially designed to manage data from just a few organizations, it was envisioned to eventually handle terabytes of data. The need for rapid scalability was a significant consideration in selecting the appropriate technical solution.
2. Utmost security for medical data
Managing both personal and medical patient data requires the maximum security, especially when safeguarding the company's proprietary information. In a cloud-based, multi-tenant architecture, where our Client offers the software to multiple distinct organizations, it's critical to ensure that the data of one organization remains isolated from others.
Failure to do so can lead to data breaches, regulatory infractions, operational challenges, and diminished trust from clients. Addressing this concern at the architectural level is of paramount importance.
3. Customized solutions for each tenant take too long
For a clear and intuitive presentation of patient data, each organization (or "tenant" from a technical standpoint) receives a set of Business Intelligence dashboards tailored to their needs. But requirements differ among tenants. For instance, one might manage data for 100 patients, while another oversees 5,000. Each client has a unique set and format of data as well.
Our client faced the challenge of efficiently crafting a unique solution for every tenant. Creating a single dashboard tailored to specific requirements could take 2 weeks to 1 month. If a client requires 20 distinct BI dashboards (such as one for diabetes analytics and another for cancer risk metrics), the cumulative period could extend from 40 to 80 weeks, or over a year.
Additionally, this approach requires a significant workforce, introducing the risk of human error — a significant concern when handling sensitive data.
Solution
Implemented a comprehensive cloud-native system on AWS that addressed the core challenges and integrated seamlessly with the company's existing infrastructure.
1. Cloud-native Development with Advanced Scalability
To address the unique challenges of the healthcare sector and create a resilient, secure product, the Client opted for AWS's cloud-native development approach, recognizing its comprehensive tools and infrastructure.
AWS Services and Tools deployed:
- AWS Amplify
- AWS API Gateway
- Lambda
2. Data Safety With Tenant Isolation and Enhanced Access Control
Using the multi-tenant architecture of the SaaS application, our Client offers a unique solution to various organizations.
AWS Services and Tools used:
- Amazon S3 bucket
- AWS API Gateway
- JWT
- Lambda
- AWS Cognito
3. Delivering Individual Solutions for Each Client in a Month through Data Format Standardization and Pre-built BI Dashboards
STEP 1: Automate data collection and unification for quicker deployment
AWS Services and Tools deployed:
- AWS Glue
- AWS SQS
STEP 2. Real-time Data Synchronization with a Custom-made ETL Agent
Services and Tools:
- Apache Spark
STEP 3. Designing Pre-build Frameworks for BI Dashboard Customization
AWS Services and Tools used:
- AWS Redshift
- AWS QuickSight
Implemented a comprehensive cloud-native system on AWS that addressed the core challenges and integrated seamlessly with the company's existing infrastructure.
1. Cloud-native Development with Advanced Scalability
To address the unique challenges of the healthcare sector and create a resilient, secure product, the Client opted for AWS's cloud-native development approach, recognizing its comprehensive tools and infrastructure.
AWS Services and Tools deployed:
- AWS Amplify
- AWS API Gateway
- Lambda
2. Data Safety With Tenant Isolation and Enhanced Access Control
Using the multi-tenant architecture of the SaaS application, our Client offers a unique solution to various organizations.
AWS Services and Tools used:
- Amazon S3 bucket
- AWS API Gateway
- JWT
- Lambda
- AWS Cognito
3. Delivering Individual Solutions for Each Client in a Month through Data Format Standardization and Pre-built BI Dashboards
STEP 1: Automate data collection and unification for quicker deployment
AWS Services and Tools deployed:
- AWS Glue
- AWS SQS
STEP 2. Real-time Data Synchronization with a Custom-made ETL Agent
Services and Tools:
- Apache Spark
STEP 3. Designing Pre-build Frameworks for BI Dashboard Customization
AWS Services and Tools used:
- AWS Redshift
- AWS QuickSight
Results
Our Client has received a comprehensive web platform that seamlessly integrates both BI and CRM functionalities.
This cloud-native application not only boasts the utmost scalability but is tailored for rapid multi-tenant deployments.
The security of the platform remains uncompromised, ensuring that all data and processes are protected at all times.
Incorporating cutting-edge AWS tools and services throughout the cloud-native development process highlights their essential role in delivering such a sophisticated, scalable, and secure solution.
Our Client has received a comprehensive web platform that seamlessly integrates both BI and CRM functionalities.
This cloud-native application not only boasts the utmost scalability but is tailored for rapid multi-tenant deployments.
The security of the platform remains uncompromised, ensuring that all data and processes are protected at all times.
Incorporating cutting-edge AWS tools and services throughout the cloud-native development process highlights their essential role in delivering such a sophisticated, scalable, and secure solution.
