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Data Quality: The ROI of Adding Intelligence to Data

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A Dataversity Advanced Analytics Webinar

Data Quality is an elusive subject that can defy measurement and yet be critical enough to derail any project, strategic initiative, or even company. The data layer of an organization is a critical component because it is so easy to initially ignore the quality of data or make overly optimistic assumptions about its efficacy.

Having Data Quality as a focus is a business philosophy that aligns strategy, business culture, company information, and technology in order to manage data to the benefit of the enterprise. It is a competitive strategy.

However, you can’t improve what you can’t measure. There is measured ROI in Data Quality efforts.

We need a means for measuring the quality of our data. Abstracting quality into a set of agreed data rules and measuring the occurrences of quality violations provides the measurement in the methodology, which the speaker utilizes extensively in his consulting practice.

Meet the Speakers


WILLIAM MCKNIGHT – President, McKnight Consulting Group

William McKnight has advised many of the world’s best-known organizations. His strategies form the information management plan for leading companies in numerous industries. He is a prolific author and a popular keynote speaker and trainer. He has performed dozens of benchmarks on leading databases, data lakes, streaming, and data integration products. William is the #1 global influencer in data warehousing and master data management, and he leads McKnight Consulting Group, which has twice placed on the Inc. 5000 list.

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STEVEN LIN – Product Marketing Manager, Semarchy

Steven is an experienced digital strategist with comprehensive domain expertise in digital strategy including AI/ML Workflows, Prompt Engineering, Go-to-Market Strategy, Data and Analytics, Market Research, and Business Intelligence. He runs one of the largest remote work communities with over 150,000 members and is ranked in the top .1% of websites in the world.