What your data provider won’t tell you: A practical guide to data quality evaluation
Learn how to evaluate external datasets with confidence. Get a clear, structured framework to benchmark data providers beyond the sample.
🗓️ December 2, 2025 (Tuesday)
🕔 11:00 AM New York
📍 Live, 45 minutes + Q&A
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What you’ll learn
Most data quality issues are invisible until it’s too late. This session equips you with tools and metrics to avoid costly mistakes and make informed data decisions using public web data.
Learn how to use a vendor-neutral, 6-step framework for data evaluation to:
- Check data integrity. Uncover hidden data issues such as duplicates or unclean data.
- Compare data freshness. Understand what “profile freshness” really means, and how to measure it.
- Assess profile validity. Find out how to uncover 404 errors or deleted profiles.
- Evaluate metadata. Learn to identify data quality metrics that ensure long-term reliability.
Become confident about evaluating data quality
Register for vendor-neutral insights and a practical framework
Who should attend
We have designed this session for:
- C-level decision-makers
- Product and data managers
- Data engineers evaluating new providers
- Anyone comparing third-party datasets
About the speaker
Egidijus Griska is a data scientist and analyst with extensive experience building scalable, insight-driven data solutions. At Coresignal, he helped develop the company’s flagship multi-source products, which include over 900 million enriched records on companies, employees, and jobs.
He holds a bachelor’s in mathematical statistics and a master’s in data science. His work spans projects such as churn prediction, recommendation systems, and automated data quality pipelines, combining strong technical skills with analytical curiosity to drive data-informed decisions.
Register now
Bring clarity to your data evaluation process with a clear 6-step framework. Seats are limited, so secure yours today.
- Free webinar
- 45 minutes + Q&A
- Vendor-neutral insights