As a healthcare provider with 250-500 employees, the client seeks to transition from Legacy Data Systems to GCP BigQuery to enhance analytics, reporting, and data governance while ensuring compliance with healthcare regulations.

Project Overview

The client, specializing in patient care and health services, sought to upgrade their data analytics capabilities. Their existing infrastructure struggled with data silos, slow processing times, and compliance challenges. They chose Google Cloud Platform’s BigQuery to modernize their data environment and streamline operations.


For Enhancing Patient Care and enable operational efficacy a provider with 250 – 500 employs were looking for migration of Legacy data system to GCP BigQuery and enhance analytics reporting and data governance system.


  • Regulatory Compliance: Adhering to healthcare data regulations, including HIPAA.
  • Data Integration: Combining disparate data sources into a unified analytics platform.
  • Security and Privacy: Safeguarding patient data and ensuring robust access controls.
  • Operational Efficiency: Enhancing the speed and reliability of data processing and reporting.


  1. Discovery and Planning:
    • Conducted comprehensive workshops with the client’s IT and compliance teams to understand existing challenges and goals.
    • Mapped out a phased migration plan, starting with the most critical datasets and reports.
  2. Regulatory Compliance:
    • Ensured all data handling practices met HIPAA standards by using GCP’s built-in compliance tools and signing the necessary Business Associate Agreement (BAA).
    • Implemented encryption for all data stored in and transferred to BigQuery.
    • Established a process for regular compliance audits using GCP’s audit logging and monitoring capabilities.
  3. Data Integration and Migration:
    • Consolidated various data sources, including patient records, operational data, and external health data, into BigQuery.
    • Used Google Cloud Dataflow to transform and load data, ensuring it was cleansed and standardized.
    • Created a scalable data architecture that allowed for seamless integration of new data sources.
  4. Security and Privacy:
    • Designed a multi-layer security strategy with Identity and Access Management (IAM) to control who could access and modify data.
    • Deployed GCP’s VPC Service Controls to isolate data and restrict access based on job roles and functions.
    • Implemented fine-grained data controls and masking to protect sensitive patient information.
  5. Operational Improvements:
    • Developed efficient query templates and data models to optimize the performance and cost-effectiveness of BigQuery operations.
    • Automated routine data processing tasks, reducing manual effort and the risk of errors.
    • Set up monitoring dashboards using Google Cloud’s monitoring tools to provide real-time insights into data usage and system performance.
  6. User Training and Support:
    • Provided extensive training sessions to the client’s data and IT teams to ensure they could leverage BigQuery’s capabilities effectively.
    • Created detailed documentation and best practices guides for ongoing data management and compliance.

Benefits Delivered

  1. Improved Compliance and Security:
    • Achieved full compliance with HIPAA and other relevant healthcare regulations.
    • Enhanced security through rigorous access controls and data protection measures, ensuring patient data privacy.
  2. Streamlined Data Operations:
    • Successfully integrated multiple data sources into a single, cohesive platform, reducing data silos and inconsistencies.
    • Improved the speed and reliability of data processing, enabling faster and more accurate reporting.
  3. Cost-Effective Data Management:
    • Optimized BigQuery queries and data storage to manage costs effectively while maintaining high performance.
    • Reduced operational overhead by automating key processes and minimizing manual intervention.

Technology Used

Technologies BigQuery, BigQuery Data Transfer Service, Dataflow, Data Catalog, Dataprep, Pub/Sub, Cloud Storage, Cloud Functions, Cloud Data Fusion, Cloud IAM, Cloud KMS, VPC Service Controls, Security Command Center, Audit Logging

About Emorphis

Emorphis Technologies is a world-class software development and solutions company. Delivery innovation on the go at an accelerated pace has been our success mantra to date. Over the years we have provided value to our clients in the fields of enterprise mobility, cloud, IoT, backend development, Big Data Analytics, and BlockChain.

We serve industries ranging from unicorns, and startups to large multinationals in the healthcare, telecommunications, fintech, retail, and publishing industry. Our go-to-market software products – iStatement, iPublisher, and iBuggy have proved our metal with positive beneficial customer testimonials. We help our clients with successful product development, consulting services, and testing (manual & automated).

We have profound experience & expertise in various technologies like .Net, J2EE, PHP, iOS, Android, and Cloud Computing viz. Amazon Web services (AWS), Software QA & testing (Manual & Automation). Our designed products are cloud-ready and can be readily deployed on AWS/Azure cloud infrastructure.

Our pivot on engineering innovation and R&D helps quicken time-to-market, ensuring high quality at economies of scale, delivering cult competency for the global marketplace. We ensure that your ideas, concepts, and requirements are backed by brilliant execution at our end. Having said that we extend end-to-end ownership of product/application design, development, and deployment.

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