Health Care Services

Health Care Services

  • Can ETL Validator help compare data from multiple sources?
  • Does ETL Validator support Continuous Integration?
  • Is there any way to schedule tests and receive email notification?
  • Is there reporting available for Test Runs?
  • What is File Watcher?
  • What if my data source is not supported by ETL Validator?
  • Is there a free trial available for ETL Validator?
  • What is a repository and workschema? what databases are supported as repository?
  • What are the Architectural components of ETL Validator?
  • What are the System Requirements for doing a pilot?
  • Can ETL Validator help compare data from multiple sources?
  • Does ETL Validator support Continuous Integration?
  • Is there any way to schedule tests and receive email notification?
  • Is there reporting available for Test Runs?
  • What is File Watcher?
  • What if my data source is not supported by ETL Validator?
  • Is there a free trial available for ETL Validator?
  • What is a repository and workschema? what databases are supported as repository?
  • What are the Architectural components of ETL Validator?
  • What are the System Requirements for doing a pilot?

Health Data Transformation

In the dynamic healthcare landscape, accurate and comprehensive data flow is vital. Explore how innovative Extract, Transform, Load (ETL), and Business Intelligence (BI) testing tools revolutionize data management, empowering healthcare organizations to enhance patient outcomes, gain deeper insights, and modernize operational processes.

Harnessing the Power of ETL

Extracting, transforming, and loading data efficiently is the cornerstone of effective healthcare data management. ETL tools play a pivotal role in seamlessly gathering data from diverse sources, transforming it into a standardized format, and loading it into a centralized repository. This ensures that healthcare organizations can easily collect and consolidate a wealth of information, ranging from patient records to administrative data, fostering a more holistic understanding of the healthcare ecosystem

Benefits of ETL in Healthcare

Data Integration: ETL tools enable the integration of disparate healthcare data sources, breaking down silos and providing a comprehensive view of patient information.

Data Quality Assurance: Through rigorous data cleansing and validation processes, ETL tools ensure the accuracy and reliability of healthcare data, reducing the risk of errors and inconsistencies.

Efficient Data Migration: When transitioning to new systems or platforms, ETL tools facilitate smooth data migration, minimizing disruptions and ensuring continuity of care.

Empowering Insights with BI Testing: Business Intelligence (BI) tools serve as a crucial layer in the healthcare data ecosystem, transforming raw data into actionable insights. BI testing ensures the accuracy, reliability, and performance of these tools, guaranteeing that healthcare professionals can make informed decisions based on trustworthy data.

Key Aspects of BI Testing in Healthcare

Dashboard Validation: BI testing validates the accuracy and functionality of healthcare dashboards, ensuring that they present real-time, relevant information to healthcare professionals.

Data Visualization Assurance: BI tools often rely on data visualization to convey complex information. Testing ensures that visualizations are clear, accurate, and contribute to effective data-driven decision-making.

Performance Testing: Healthcare organizations handle large volumes of data. BI testing includes performance testing to guarantee that BI tools can handle the scale of healthcare data without compromising speed or functionality.

Modernizing Operations with Reference Data: Reference data serves as the backbone for many healthcare operations, providing a standardized framework for coding and categorizing information. Effective testing of reference data ensures consistency across systems and enhances interoperability.

Healthcare Data Empowerment

In the ever-evolving landscape of healthcare, the integration of robust data testing tools is essential for collecting, unifying, and leveraging vast amounts of data. ETL and BI testing, along with meticulous reference data testing, empower healthcare organizations to enhance patient outcomes, gain deeper insights, and modernize their operations. By embracing these technologies, healthcare professionals can confidently navigate the complexities of data management, improving the quality and efficiency of care delivery.

Healthcare Data Warehouse

Experience a new era of healthcare data management. Our Healthcare Data Warehouse is your key to unified, real-time insights. Seamlessly integrate diverse data sources, enabling advanced analytics and informed decision-making. Elevate patient care, meet regulatory standards, and lead the way in healthcare innovation. Transform your data into actionable intelligence with our advanced solution.

Success Stories

1. Tableau Data Validation for a Pharma Giant

A US pharma company used BI Validator to automate regression testing for 11,000 Tableau users across six environments. This streamlined the process, ensured accurate testing, and built trust in report metrics.

– Download the case study 

2. DataOps Suite for Healthcare – ROI

Datagaps Suite improves data quality and reduces the deployment time for pharma-consultancy businesses. It addresses changing data definitions, complex business rules, related datasets, vendor standardization, and callback record management.

– Download the case study 

3. Datagaps: Facilitating Health Insurance with APCD Submissions

Datagaps Suite is a cost-effective solution for pharma-consultancy challenges, such as evolving data definitions, complex business rules, inter-related datasets, vendor standardization, and callback record management. It improves data quality, reduces deployment time, and can reduce the size of the Data Quality & Assurance Team by up to 75%, with easy integration into diverse production environments.

– Download the case study 

Trusted Data Summit

If you missed the Trusted Data Summit event, you can still access the videos below to learn from the sessions about transforming data management. 

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Data Quality

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

Synthetic Data

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

ETL Testing

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

BI Validation

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.
Products
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DataOps Suite

End-to-End Data Testing Automation

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ETL Validator

Automate your Data Reconciliation & ETL/ELT testing

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BI Validator

Automate functional regression & performance testing of BI reports

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DQ Monitor

Monitor quality of data being Ingested or at rest using DQ rules & AI

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Test Data Manager

Maintain data privacy by generating realistic synthetic data using AI

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