Life Sciences​

The Life Sciences industry's data quality challenges can significantly affect drug discovery, clinical trials, manufacturing, regulatory compliance, and patient outcomes

Life science industry

Data Quality in the Life Sciences Industry

The life sciences industry is data-intensive, and data quality challenges can significantly affect drug discovery, clinical trials, manufacturing, regulatory compliance, and patient outcomes.

Below are the top data quality issues in the life sciences sector:

  • Regulatory compliance issues
    (FDA 21 CFR Part 11, GDPR, HIPAA, ISO, etc.)
  • Incomplete or missing data
  • Inconsistent data formats
  • Data silos​
  • Duplicate or redundant data
  • Unstructured data challenges
  • Outdated or stale data
  • Data provenance and lineage
  • Data interoperability​
  • Real-world data (RWD) and evidence (RWE) issues
  • Volume and velocity of data
  • Metadata and annotation problems

Impacts of Poor Data Quality

  • Delayed Research: Slows down drug discovery and clinical trial phases.
  • Compliance Risks: Leads to penalties, regulatory rejections, or loss of credibility.
  • Operational Inefficiencies: Increases the time and cost of data cleaning and validation.
  • Patient Safety: Risks inaccurate diagnoses, ineffective treatments, or adverse effects.

QuerySurge can help solve many issues in the Life Sciences Industry.

QuerySurge is the smart data testing solution that leverages artificial intelligence to automate the ETL testing of data warehouses, big data lakes, business intelligence reports, and enterprise apps with full DevOps functionality for continuous testing.

Challenges we Solve

  • Your need for data quality at speed. Validate up to 100% of all data extremely fast.
  • Your SQL skills gap. Now, you can leverage Artificial Intelligence in QuerySurge AI to easily create your data tests in minutes without any programming in this no-code/low-code solution. 
  • Your ability to test across different platforms. Whether a Big Data lake, Data Warehouse, traditional database, NoSQL document store, BI reports, flat files, JSON files, SOAP or restful web services, XML, mainframe files, or any other data store. 
  • Your need to integrate for continuous delivery. QuerySurge DevOps for Data has a robust RESTful API and integrates with data integration/ETL solutions, build/configuration solutions, and QA/ test management solutions. 
  • Your ability to analyze your data. Utilize data analytics dashboard & data intelligence reports to find problematic areas and provide root cause analysis quickly.

QuerySurge will help you:

But don’t believe us (or our clients). Try it for yourself.
Check out our free trials and great tutorial

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