Webinar
Upcoming Webinar

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

March 13, 2025
11 AM PST / 2 PM EST
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ABOUT THE EVENT

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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What we will discuss?

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.
Who Should Attend?

Build reusable data products that drive accurate, data-driven decision-making.

Join the webinar to ask your questions, share your thoughts, and be part of the conversation.

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