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Learn how to spot poor data quality before it costs you
Expertly evaluate B2B datasets using our 6-step framework. Watch the video and get a clear, structured way to benchmark data providers beyond the sample.
Spot the red flags faster
Use our vendor-neutral framework and a custom checklist for data evaluation using multiple criteria. This session equips you with tools and metrics to avoid costly mistakes and make informed data decisions about public web data quality.
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.
