CASE STUDY

Patient Data & Analytics Portal

Strategic Decision-Making through Real-Time BI

Client: One of the biggest professional services and consulting companies wanted to build a platform dedicated to the life sciences industry that allows the creation of on-demand self-service tailored analytics dashboards that help consultants introduce the business impact of effective data sourcing and develop a playbook that identifies data gaps and prepares a strategic roadmap for clients’ improvement.

Problem: The lack of a reliable BI tool meant to be used for strategic decision-making based on analyzing patient data (schema treatment, treatment outcomes, evolution, etc.) designed to provide access to the most comprehensive data and analytics.

The Problem

The Problem

Client: One of the biggest professional services and consulting companies wanted to build a platform dedicated to the life sciences industry that allows the creation of on-demand self-service tailored analytics dashboards that help consultants introduce the business impact of effective data sourcing and develop a playbook that identifies data gaps and prepares a strategic roadmap for clients’ improvement.

Problem: The lack of a reliable BI tool meant to be used for strategic decision-making based on analyzing patient data (schema treatment, treatment outcomes, evolution, etc.) designed to provide access to the most comprehensive data and analytics.

The Solution

What we did: We developed a BI platform and web app for strategic decision-making through patient data analysis. 

How we did it: We use Sanitized Healthcare claims data, EMR (Electronic Medical records) from U.S. and Europe from more than ten 3rd party data vendors that deliver the data through shared Snowflake databases or CSV/PARQUET files in Amazon S3/Azure Blob/SFTP.  A metadata-driven ETL/ELT framework was created in Snowflake that is capable of delivering the tailored datamarts needed for on-demand web user-requested analytics package(s) and selected options (e.g., drugs, diagnostics, procedures, etc.). 

Fully automated tailored dashboards and reports were seamlessly served securely via a web application to more than 400 active client engagements. 

Technology Stack: Azure, Terraform, Docker, Github, Snowflake, SQL, Azure SQL, JavaScript, React, C#, Python, Snowflake, PowerBI

The Results

The Results

Fully automated tailored dashboards and reports were seamlessly served securely via a web application to more than 400 active client engagements. 

Technology Stack: Azure, Terraform, Docker, Github, Snowflake, SQL, Azure SQL, JavaScript, React, C#, Python, Snowflake, PowerBI

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