Building out a Data Quality Program

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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:

  • Modern challenges for data quality programs
  • How to raise DQ awareness within an organization
  • What organizations should consider when they’re getting started with a data quality initiative
  • How technology and tools can help, and where to focus your time and energy
  • Recently published

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    Blog
    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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    Blog
    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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    Blog
    AI readiness: harnessing the power of data and AI

    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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    Blog
    Microsoft Fabric Conference: 4 Key Takeaways and Ataccama's Vision

    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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    Blog
    The Gartner Magic Quadrant for Data Quality: understanding, criteria, and insights

    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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    Blog
    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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    Blog
    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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    Blog
    Top 5 data management trends in 2024 + tips on how to maximize their value

    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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    Blog
    E2E DQ: A Holistic Approach to Continuous DQ Management

    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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    Blog
    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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    Blog
    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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    Blog
    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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    Blog
     Introducing Pushdown on Snowflake

    Introducing Pushdown on Snowflake

    With our new pushdown feature you can run data quality processes…

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    Blog
    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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    Blog
     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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    Blog
     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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    Blog
    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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    Blog
    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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    Blog
    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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    Blog
    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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    Blog
    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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    Blog
     7 Essential Data Quality Management Capabilities

    7 Essential Data Quality Management Capabilities

    Learn which capabilities are a must-have in your data quality solution. …

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    Blog
     The Evolution and Future of Data Quality

    The Evolution and Future of Data Quality

    Learn about the evolution of data quality from SQL to the Data Quality Fabric…

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    Blog
     Embracing the Future of Data Governance with our Clients, Part 2

    Embracing the Future of Data Governance with our Clients, Part 2

    We asked our clients in the Asia Pacific region about their…

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    Blog
     Data Quality Storytelling: A Better Way to Do DQ Reporting

    Data Quality Storytelling: A Better Way to Do DQ Reporting

    Liven up your DQ reports with the latest data visualization technology.

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