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
Enter your details to access our expert resources
Recently published
Data Quality Management Challenges, and How Data Observability Solves Them
Learn about some of the biggest pain points in data quality and…
Read more
Introducing Pushdown on Snowflake
With our new pushdown feature you can run data quality processes…
Read more
Why You Need to Think about Data Quality on Snowflake
Learn the best data quality tips for storing data on Snowflake …
Read more
How Data Observability Simplifies the Investigation of Data Quality Issues
Observe a data observability workflow from start to finish.…
Read more
7 Data Management Trends to Watch in 2023
Learn about the newest trends in data management in 2023
Read more
What is a Report Catalog?
Learn about report catalogs, a singular point of access for your…
Read more
The Best Approach to Data Quality Management: Combine Rules and AI
Learn about rules-based vs. AI/ML anomaly detection pros and cons…
Read more
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…
Read more
What is Anomaly Detection?
Anomaly detection can help you find unwanted or unexpected values…
Read more
Data Observability: Understand What It Is and How It Works
Learn about data observability, why it's important, how it works,…
Read more
3 Data Quality Management Success Factors from Latest Research
Learn what it takes to implement a successful data quality…
Read more
Data Quality Storytelling: A Better Way to Do DQ Reporting
Liven up your DQ reports with the latest data visualization…
Read more
5 Reasons Why the Data Catalog and Data Quality Work Better Together
Data catalog is an essential tool for data and analytics leaders.…
Read more
Census Data Quality Is Essential: Here’s Why
High quality census data is essential for producing accurate…
Read more
7 Essential Data Quality Management Capabilities
Learn which capabilities are a must-have in your data quality…
Read more
How to Get Started with Data Quality: The 3 Steps You Should Take First
Starting out with data quality can be hard. We're breaking it…
Read more
Why Data Quality is Crucial for Successful AI Implementations
Learn why data quality is key to successful AI.
Read more
The Evolution and Future of Data Quality
Learn about the evolution of data quality from SQL to the Data…
Read more
Enterprise Data Quality Fabric: A Primer
Enterprise Data Quality Fabric is the new way to manage data and…
Read more
Embracing the Future of Data Governance with our Clients, Part 2
We asked our clients in the Asia Pacific region about their…
Read more
What Is Data Quality and Why Is It Important?
Learn what data quality is, why it is important, what costs and…
Read more
4 Data Management Disciplines that Help Pharma Make the Most of Clinical Trial Data
Learn how pharmaceutical companies can use data management to…
Read more
Data Management is Key to Containing Covid-19 and Future Pandemics
Robust data management principles and processes are necessary for…
Read more
Data Catalogs: Accelerating Analytics and Data Quality Operationalization
Read this blog post to see how a data catalog can accelerate data…
Read more
