Webinar
Upcoming Webinar
In collaboration with

Building Reusable Data Products: Aggregating Diverse Data Sources with Quality Adherence

March 13, 2025
11 AM PST / 2 PM EST

In data-driven clinical research, ensuring data integrity, consistency, and compliance is a persistent challenge. Organizations acquiring or licensing diverse data assets often struggle with inconsistent formats, structural discrepancies, large-scale processing inefficiencies, and regulatory compliance risks.

Don’t miss our live demo, where we’ll walk through the entire workflow using publicly available datasets.

Key Challenges that will be addressed in this webinar
  • Fragmented and unstructured data, along with data silos, hinder standardization and governance, making it difficult to establish consistency and reliability.
  • Organizations face significant challenges in aggregating diverse datasets into a unified platform, which impacts user experience, data usability, and effective monitoring.
  • Ensuring that data providers adhere to high-quality standards is critical for organizations that rely on accurate data-driven decision-making.
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Real-World Applications We’ll Cover

  • Scaling clinico-genomic data integration: Large pharmaceutical organizations working with external data providers used Polly to build interoperable clinico-genomic data products 6x faster.
    Although purchased datasets are often labeled as "clean," they still lack interoperability—Polly's pipelines bridge this gap with robust integration and harmonization.

  • Information Retrieval: Drug safety monitoring teams used Polly's Knowledge Graph powered co-scientist to conversationally retrieve the right cohorts & assess drug response—cutting discovery time by 70%.

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What You’ll Learn

Join our experts, as they discuss strategies to ensure high-quality data at scale.

  • We will share how implementing a Trusted Research Environment (TRE) has enabled a robust framework for data ingestion, harmonization, and quality validation. Through self-serve, automated pipelines, we evaluate data quality in real time, assessing key dimensions such as conformance, plausibility, and consistency.
  • To enhance accuracy and context-awareness, learn how we integrated a human-in-the-loop approach, where 100+ domain experts validate, refine, and monitor automated quality checks resulting in 99.99% accurate data products.
  • Explore how our approach ensures seamless data aggregation and transparency through GUI-based workflows, CLI tools for large-scale synchronization, collaborative workspaces, and real-time monitoring dashboards.
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Meet the Experts of this discussion
Manimala Sen
Director of Product Management
Dmitrii Calzago
Senior Manager Data and Analytics
Key Takeaways
How data providers ensure adherence to quality standards through validation and compliance.
How GUI-based workflows, CLI tools, and collaborative workspaces enable streamlined data ingestion and synchronization at scale.
Understand how automated pipelines assess conformance, plausibility, and consistency, ensuring high-quality, AI-ready data products.
Key Takeaways
Reduce operational costs by streamlining data delivery through reusable, governed products.
Accelerate diagnostic development and clinical trial execution by delivering compliant, high-quality data at scale.
Improve audit readiness and regulatory confidence through governed data products and built-in quality assurance.
Equip cross-functional teams to act on trusted data—faster, and with greater confidence.
Who Should Attend?

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