Building out a Data Quality Program
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:
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Recently published
Microsoft 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 tracks data quality metrics throughout your data…
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 moreThe Best Approach to Data Quality Management: Combine Rules and AI
Learn about rules-based vs. AI/ML anomaly detection pros and cons…
Read more3 Data Quality Management Success Factors from Latest Research
Learn what it takes to implement a successful data quality…
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.…
Read moreCensus Data Quality Is Essential: Here’s Why
High quality census data is essential for producing accurate…
Read more7 Essential Data Quality Management Capabilities
Learn which capabilities are a must-have in your data quality solution. …
Read moreWhat Is Data Quality and Why Is It Important?
Learn about the importance of data quality management, data quality and its…
Read moreThe Evolution and Future of Data Quality
Learn about the evolution of data quality from SQL to the Data…
Read moreEmbracing the Future of Data Governance with our Clients, Part 2
We asked our clients in the Asia Pacific region about their…
Read moreData Quality Storytelling: A Better Way to Do DQ Reporting
Liven up your DQ reports with the latest data visualization technology.
Read moreWhat is a Report Catalog?
Learn about report catalogs, a singular point of access for your company's…
Read moreHow to Get Started with Data Quality: The 3 Steps You Should Take First
Starting out with data quality can be hard. We're breaking it down for you in…
Read more4 Data Management Disciplines that Help Pharma Make the Most of Clinical Trial Data
Learn how pharmaceutical companies can use data management to…
Read moreWhat is Anomaly Detection?
Anomaly detection can help you find unwanted or unexpected values in your data.…
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