The Future of Data Management & Governance: 2021 and Beyond

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Digital transformation and its reach into all areas of a business has fundamentally changed the way organisations operate and deliver value to customers, and how they approach operational needs.

Watch this panel discussion [hosted by the EDM Council] and hear our valued clients share their biggest lessons learned in 2020, and what’s going to prove decisive for the success and sustainability of data management and governance programs in 2021 and beyond.

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Data quality framework: What it is and how to implement it

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)

5 Best data quality tools (and how to find the right one)

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Data quality metrics you must track (and how)

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

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: 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

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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

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: 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

What is Data Quality Monitoring

Data quality monitoring is an essential aspect of a successful DQ system. Learn…

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How Data Observability Helps Data Stewards, Data Engineers, and Data Analysts

How Data Observability Helps Data Stewards, Data Engineers, and Data Analysts

Data observability can help data stewards, data engineers, and data analysts…

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Data quality management challenges (and how data observability solves them)

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

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

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

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

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

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?

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

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

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

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

The importance of data quality for the census

High quality census data is essential for producing accurate population…

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