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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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This article dives into the 5 best data quality tools on the market, how to…
Read moreData quality metrics you must track (and how)
Prove the value of your DQ investment by monitoring 9 essential data quality…
Read moreExpected ROI from a successful data management program
Learn the financial benefits of a data management program so you can justify…
Read moreBad data quality: causes and consequences
Bad data quality can wreak havoc on organizations. Learn what the causes,…
Read moreAI readiness: harnessing the power of data and AI
Check out our new Linkedin Live video where we discuss the importance of data…
Read moreMicrosoft Fabric Conference: 4 Key Takeaways and Ataccama's Vision
Ataccama joined the Microsoft team to gain first-hand experience at the…
Read moreThe Gartner Magic Quadrant for Data Quality: understanding, criteria, and insights
Unlock insights into Gartner's Augmented Data Quality Magic Quadrant: Purpose,…
Read moreSnowflake horizon and Ataccama: a strong partnership for trusted and governed data
Ataccama and Snowflake partner up for high quality, governed data as part…
Read moreData Quality: The Unseen Villain of Machine Learning
Data quality is a massive, often invisible cost that slows down AI projects and…
Read moreTop 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…
Read moreE2E DQ: A Holistic Approach to Continuous DQ Management
Learn about a fully comprehensive way to manage your data's quality.
Read moreWhat is Data Quality Monitoring
Data quality monitoring is an essential aspect of a successful DQ system. Learn…
Read moreData quality management challenges (and how data observability solves them)
Learn about some of the biggest pain points in data quality and how data…
Read more4 reasons automated data quality monitoring is vital for data observability
Learn why automating data quality is a fundamental component of any successful…
Read moreIntroducing Pushdown on Snowflake
With our new pushdown feature you can run data quality processes…
Read moreWhy you need to think about data quality on Snowflake
Learn the best data quality tips for storing data on Snowflake
Read moreHow Data Observability Simplifies the Investigation of Data Quality Issues
Observe a data observability workflow from start to finish. Visualize this…
Read more7 Data Management Trends to Watch in 2023
Learn about the newest trends in data management in 2023
Read moreRules-based vs. anomaly detection: What's best?
Learn about rules-based vs. AI/ML anomaly detection pros and cons. Find out why…
Read more3 Data quality management success factors
Learn what it takes to implement a successful data quality management program.…
Read moreThe hidden costs of poor data quality
Discover the financial impact of poor data quality on your company's money.…
Read more5 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…
Read moreThe importance of data quality for the census
High quality census data is essential for producing accurate population…
Read more7 Essential Data Quality Management Capabilities
Learn which capabilities are a must-have in your data quality solution. …
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