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Ataccama Innovate 2023

The Future of Data Quality

Farewell to 2020: Lessons on Agility, Adaptability & Moving at the Speed of Data

Watch our panel discussion with four valued clients of Ataccama as they discuss key takeaways of the past year and what's important looking forward:

  • How to use AI-powered data management to become more agile and enable faster decision making
  • AI and ML as key tools to offset operational costs
  • Gaining business buy-in for data management and governance practices
  • In-house innovation made possible by a unified, modern data management and governance platform

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Recently published

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Data Quality Management Challenges, and How Data Observability Solves Them

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Introducing Pushdown on Snowflake

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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.…

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7 Data Management Trends to Watch in 2023

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What is a Report Catalog? 

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The Best Approach to Data Quality Management: Combine Rules and AI

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What is Anomaly Detection?

Anomaly detection can help you find unwanted or unexpected values…

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Data Observability: Understand What It Is and How It Works

Learn about data observability, why it's important, how it works,…

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3 Data Quality Management Success Factors from Latest Research

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Using poor data quality in your business operations has a…

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Data Quality Storytelling: A Better Way to Do DQ Reporting

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7 Essential Data Quality Management Capabilities

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How to Get Started with Data Quality: The 3 Steps You Should Take First 

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Why Data Quality is Crucial for Successful AI Implementations

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Enterprise Data Quality Fabric: A Primer

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

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What Is Data Quality and Why Is It Important?

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Robust data management principles and processes are necessary for…

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Read this blog post to see how a data catalog can accelerate data…

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