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A practical guide to data quality evaluation
Learn how to evaluate B2B datasets with confidence. Get a clear, structured framework to benchmark data providers beyond the sample.
What you’ll learn
Learn how to use our vendor-neutral framework for data evaluation using multiple criteria. This session equips you with tools and metrics to avoid costly mistakes and make informed data decisions using public web data.
Evaluate metadata
Learn to identify data quality metrics that ensure long-term reliability.
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.
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.
