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Shift Left Data Conference
Data Quality
Data teams are a critical component of organizations across industries, so knowing how they work—and why some tend to work better than others—is important.
July 8, 2025
Data governance tools have to evolve to match the demands of data-driven organizations—so the ability to vet each on its own merits is mission-critical.
This first part of a two-part series on data silos will focus on causal contributing factors for data silos and the problems they cause modern organizations.
Change is inevitable in data-driven organizations—but for data leaders, this can't mean taking data change management for granted.
June 23, 2025
Data platform modernization requires data leaders employing a sound data platform strategy—one informed by platform maturity modeling. Learn why.
The value of data is often industry-agnostic—but healthcare data quality in particular comes with higher stakes for many data leaders and the teams they manage.
Learn how to assess and improve your data platform with a data platform maturity model to drive business growth and innovation.
May 23, 2025
Due to the growing industry needs for high quality data, data platform modernization is going from "would be nice" to "need to do now." Learn exactly why.
April 28, 2025
The rapid rise of AI has dramatically elevated the value and strategic importance of data, transforming how upstream software engineers perceive and interact with data workflows. In this expert-led panel, industry leaders will share their experiences and insights into effectively bridging the gap between data teams and software engineers. They will discuss practical strategies for proactively managing data infrastructure, enhancing collaboration, and ensuring high-quality data to support advanced AI-driven development initiatives.
April 1, 2025
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