Read our original content
Data Quality Management Challenges, and How Data Observability Solves Them
Learn about some of the biggest pain points in data quality and how data observability can help.
4 Reasons Automated Data Quality Monitoring is Vital for Data Observability
Learn why automating data quality is a fundamental component of any successful data observability initiative.
Introducing Pushdown on Snowflake
With our new pushdown feature you can run data quality processes natively on Snowflake.
Why You Need to Think about Data Quality on Snowflake
Learn the best data quality tips for storing data on Snowflake
How Data Observability Simplifies the Investigation of Data Quality Issues
Observe a data observability workflow from start to finish. Visualize this valuable data management tool.
7 Data Management Trends to Watch in 2023
Learn about the newest trends in data management in 2023
What is a Report Catalog?
Learn about report catalogs, a singular point of access for your company's reporting system.
Looking back at Data People Summit 2022
Relive the Data People Summit 2022 with this comprehensive list of highlights, takeaways, and insights.
The Best Approach to Data Quality Management: Combine Rules and AI
Learn about rules-based vs. AI/ML anomaly detection pros and cons. Find out why the best solution is to have both!
Manual Data Quality Doesn’t Cut It in 2023: Here is How Automated Data Quality Works
Automation is the future of data management, and metadata plays a critical role. Learn how to automate the delivery of high quality data.
What is Anomaly Detection?
Anomaly detection can help you find unwanted or unexpected values in your data. Learn more about it in this blog post.
Data Observability: Understand What It Is and How It Works
Learn about data observability, why it's important, how it works, its key components, and more!
6 Reasons to Attend the Data People Summit
We're gathering all data passionate professionals in one place for the data conference of the year! Join us at Data People Summit '22!
3 Data Quality Management Success Factors from Latest Research
Learn what it takes to implement a successful data quality management program. We've distilled our research findings into three principles.
What is Metadata Management and Why it is Essential to Business Success
Learn what Metadata management is and why it's essential to business success.
Our 150 Million Growth Investment and the Future of Ataccama
A brief summary of our recent investment opportunity and information on all the parties involved.
Top 10 Takeaways from WSJ Guide to Information Graphics
A summary of the best advice in the Wall Street Journal Guide to Information Graphics
Data Governance vs. Business Agility: How to Achieve Harmony and Accelerate Innovation
Business agility requirements are often at odds with the governance needs of the organizations. However, there are ways to eliminate this conflict.
5 Common Problems with Enterprise Reporting
Learn about common problems in Enterprise reporting so your company can build the optimal reporting strategy.
Data for Good: Enabling Data-Driven Altruism with Data Governance
Using data for helping solve social causes comes with many challenges. How can social organizations use the data efficiently? Learn in this article.