Effortless
Data Quality,
Infused With AI With AI 
Don’t let bad data derail your critical initiatives. Experience the frustration-free journey towards strategic data quality management.
What if your data was...
Trusted.
Fix the declining trust in your data with secure data quality: dissolve data inconsistencies, improve accuracy and restore confidence in your organization’s data assets to deliver trustworthy reporting and analytics.
In compliance.
De-risk your data management practices and save your company millions of dollars. Protect sensitive data, prevent data breaches and protect your company’s reputation.
Easily accessible.
Empower your teams to make informed decisions. Dissolve data access barriers, and locate and reach data seamlessly without ever compromising on security.
Regulatory reporting ready.
Address complex challenges posed by regulatory requirements. Leverage high quality data, and improve the speed and accuracy of generated reports.
Quickly prepared & validated.
Accelerate data readiness, and automate the data preparation and validation process with the help of AI. Remove friction and improve agility and fuel organization’s operations with timely and trustworthy information.
Trusted by users and analysts alike
REPLAY
PLAY NOW
Bringing business and IT teams together to create a digital factory of trusted data
Duration:
3 min
REPLAY
PLAY NOW
Taking 5 logins to 1 with Master Data Management, removing complexity and increasing trust
Duration:
3 min
We're making big moves!
What makes
Ataccama DQ
better?
DQ capabilities built natively with AI
- Continuously ensure data accuracy, credibility, consistency, integrity, and completeness.
- Implement automated data validation rules and prevent incomplete or incorrect data from entering business systems.
- Integrate DQ checks with your existing ETL, CI/CD pipelines, and analytics platforms.
- Standardize, cleanse, validate, enrich and match data with predefined and customizable rules.
- Automate data quality remediation at various stages.
- Reduce the need for manual intervention with AI-assisted cleansing, standardization, and issue resolution in a collaborative data catalog.
- Streamline data quality preparation, remediation and other processes with data quality co-pilots and assistants.
Proactive data quality
- Implement data quality monitoring. Identify and rectify issues in real-time.
- Easily evaluate and monitor data quality from an integrated data catalog. See all data quality metrics and trends such as anomalies in one place.
- Address issues promptly thanks to automated alerts and notifications.
- Regularly perform data profiling and data cleansing. Identify patterns, distributions and anomalies without writting SQL queries or Excel functions.
- Automatically detect data quality issues such as missing values, duplicates, outliers and inconsistencies.
- Get alerted about deviations in data loads, data structure, and more.
- Prevent data quality issues, and stop bad data from entering your systems with a DQ firewall.
- Leverage predefined Python SDK and access data quality as a code.
- Use data quality rules in complex projects and expose them as a service for other apps.
Integrated Data Governance
- Manage metadata in a data catalog tightly integrated with DQ.
- Improve understanding of data through a common business glossary.
- Implement data governance and quality best practices to ensure data consistency and accuracy.
- Enable access controls and security measures that prevent unauthorized data modifications and handling.
- Track upstream and downstream data issues with built in cloud data lineage.
- Optimize resources with data lineage and usage statistics.
- Start the analysis from any level and drill down to transformation level detail. Track data movements in any database and BI tools such as Tableau or PowerBI.
- Implement granular data asset ownership, data usage controls, set up data standards and policies.
- Utilize collaboration features, allowing different teams to work together on DQ initiatives, in a governed way.
- Streamline data quality tasks and responsibilities for more efficient data management.
Platform flexibility
- Unmatched performance enabled by powerful processing capabilities that work on billions of records.
- Handle millions of API calls from front-end apps without compromising performance.
- Built for any data source, and any data use case.
- Easily create, test, and deploy data integration pipelines.
- Perform data quality tasks with reusable configurations on data from relational and NoSQL databases, file storages, cloud data sources, streaming services, and others.
- Scale DQ management freely. Reuse DQ configurations and deploy your solution on different environments.
- Deploy Ataccama ONE Data Quality on-premise, in the cloud, or hybrid environments.
See the platform in action
Get more from your data with Ataccama
Reduce data management costs
Save tens of millions of dollars annually by tightly integrating data governance and quality. Lift the shadows off of data management and enable data reuse, remove redundant systems and databases, or reduce data preparation times.
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Boost business and operational efficiency
Increase business and operational efficiency by improving employee, supplier, product and customer data management. Witness sales and marketing efforts skyrocket as a result of decision-making that is based on easily accessible, high quality data.
Save work hours on DQ tasks
Implement AI-driven, real-time data quality management process that improve data accessibility and usability company-wide. The result? Hundreds of work hours saved every month thanks to a self-service model that improves efficiency.
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Improve data accessibility company-wide
Accelerate data quality without manual effort and enable access to high quality data company-wide. Use automation to efficiently manage access rights, user permissions, sharing requests, data documentation and more!
