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How Gen AI Boosts Data Governance Initiatives
Learn the benefits GenAI has for data governance.
Top 4 Takeaways from the Gen AI Fireside Chat with OpenAI and T-Mobile
Learn about the most interesting topics from our latest AI event.
How to Design UX for AI and Chat Assistants
Want to introduce an AI similar to ChatGPT for your company? Learn the do's and don'ts of designing user interfaces for AI and chat assistants here.
The Urgency of Consolidating Customer Data with MDM: Are You Facing These Critical Challenges and Missing Out?
Managing and securing customer data can be challenging. Learn how Master Data Management can help in this blog post.
The Top 5 Initiatives CDOs Focus on to Bring Value in 2023
CDOs increasingly look at success through the lens of achieving business objectives. Learn what initiatives they focus on to bring business value.
What Gen AI means for Data Management
Gen AI could change the way we do data management. Learn how in our latest blog.
The Rise of GPT
Learn about what GPT and generative AI are and how they became so popular.
E2E DQ: A Holistic Approach to Continuous DQ Management
Learn about a fully comprehensive way to manage your data's quality.
Hackathon 2023: Gen AI for Data Management
As a data management company, we're beginning to dip our toes in the world of Gen AI. Read about our journey in this blog.
The 4 Stressful Challenges Most CDOs Face and How to Overcome Them
CDOs face many challenges, but these four are the worst. Learn what they are and how to deal with them in this article.
What is Data Democratization?
Data democratization gets everyone at your organization involved with your most important asset: your data.
What is Data Quality Monitoring
Data quality monitoring tracks data quality metrics throughout your data systems, helping maintain data integrity.
How Data Observability Helps Data Stewards, Data Engineers, and Data Analysts
Data observability can help data stewards, data engineers, and data analysts through automation and providing the data quality information they need.
How to Achieve Compliance with Data Regulations
Learn how to get your companies data processes in line with regulations like The Privacy Act, The GDPR, and the CCPA.
Australia Privacy Act: Everything You Need to Know in 2023
Learn about the changes to the privacy act in Australia and data privacy laws in the rest of the APAC region, and how you can prepare. …
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
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…
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…
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…
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…
The Cost of Poor Data Quality
Using poor data quality in your business operations has a negative tangible impact on every aspect of your organization. Find out more…
Why Pie Charts are Evil
Pie charts get a lot of criticism from the data visualization community. Find out why.
How to Tell Stories with Data: 5 Steps to Make it Work
Why settle for simple data visualization when you can learn how to tell stories with data?
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 data catalog can enhance your data quality.
Census Data Quality Is Essential: Here’s Why
High quality census data is essential for producing accurate population statistics. Here’s what you need to know.
7 Essential Data Quality Management Capabilities
Learn which capabilities are a must-have in your data quality solution.
What Is Data Quality and Why Is It Important?
Learn what data quality is, why it is important, what costs and risks bad data carries, and how you can get started with data quality today for free.
Why Data Quality is Crucial for Successful AI Implementations
Learn why data quality is key to successful AI implementation.
The Evolution and Future of Data Quality
Learn about the evolution of data quality from SQL to the Data Quality Fabric and into the future.