Watch this panel of industry experts as they speak about getting data quality “right” in 2021 and beyond. Learn from their direct experience in topics such as:
Building out a Data Quality Program
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Data quality framework: What it is and how to implement it
Learn what a data quality framework is and how to effectively implement it into…
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5 Best data quality tools (and how to find the right one)
This article dives into the 5 best data quality tools on the market, how to…
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Data quality metrics you must track (and how)
Prove the value of your DQ investment by monitoring 9 essential data quality…
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Expected ROI from a successful data management program
Learn the financial benefits of a data management program so you can justify…
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Bad data quality: causes and consequences
Bad data quality can wreak havoc on organizations. Learn what the causes,…
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AI readiness: harnessing the power of data and AI
Check out our new Linkedin Live video where we discuss the importance of data…
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Microsoft Fabric Conference: 4 Key Takeaways and Ataccama's Vision
Ataccama joined the Microsoft team to gain first-hand experience at the…
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The Gartner Magic Quadrant for Data Quality: understanding, criteria, and insights
Unlock insights into Gartner's Augmented Data Quality Magic Quadrant: Purpose,…
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Snowflake horizon and Ataccama: a strong partnership for trusted and governed data
Ataccama and Snowflake partner up for high quality, governed data as part…
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Data Quality: The Unseen Villain of Machine Learning
Data quality is a massive, often invisible cost that slows down AI projects and…
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Top 5 data management trends in 2024 + tips on how to maximize their value
AI will be in the spotlight again in 2024, but learn about the many more trends…
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E2E DQ: A Holistic Approach to Continuous DQ Management
Learn about a fully comprehensive way to manage your data's quality.
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What is Data Quality Monitoring
Data quality monitoring is an essential aspect of a successful DQ system. Learn…
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Data quality management challenges (and how data observability solves them)
Learn about some of the biggest pain points in data quality and how data…
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4 reasons automated data quality monitoring is vital for data observability
Learn why automating data quality is a fundamental component of any successful…
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Introducing Pushdown on Snowflake
With our new pushdown feature you can run data quality processes…
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Why you need to think about data quality on Snowflake
Learn the best data quality tips for storing data on Snowflake
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How Data Observability Simplifies the Investigation of Data Quality Issues
Observe a data observability workflow from start to finish. Visualize this…
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7 Data Management Trends to Watch in 2023
Learn about the newest trends in data management in 2023
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Rules-based vs. anomaly detection: What's best?
Learn about rules-based vs. AI/ML anomaly detection pros and cons. Find out why…
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3 Data quality management success factors
Learn what it takes to implement a successful data quality management program.…
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The hidden costs of poor data quality
Discover the financial impact of poor data quality on your company's money.…
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5 reasons why the data catalog and data quality work better together
Data catalog is an essential tool for data and analytics leaders. Learn how the…
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The importance of data quality for the census
High quality census data is essential for producing accurate population…
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7 Essential Data Quality Management Capabilities
Learn which capabilities are a must-have in your data quality solution. …
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