Self-Driving Data Quality Management
Gain quick insight into data quality, easily prepare and validate data, and improve data quality on any scale.
Ataccama ONE monitors data quality automatically. Just connect your source.
Data quality without the extra work—leverage AI for instant results.
Smart & fast data quality management, with a friendly user experience.
Works without rules
Automatically spot potential issues in your data on the fly.
Rule definitions ready?
Automated DQ rules
Our self-learning engine detects data domains and business terms, and assigns data quality rules automatically from a rule library.
Continuous data quality
Automatically detect changes and improve quality over time. Take action if needed.
Data quality is applied everywhere, from data lineage to business domains, MDM, and more.
Customize as needed
Modify rules in a user-friendly interface with sentence-like conditions or with our rich expression language.
Super fast data quality
Get started quickly and process any volume of data fast, on prem or in the cloud.
And much more
Built for all data people
Ataccama ONE is built for fast analytical teams, highly regulated governance teams, and technical data teams alike.
Business users can do their job better & faster when they trust the data in their organization, see how it’s used, and if the quality improves over time.
Everything you need to ensure data quality
Data quality evaluation, monitoring & reporting
Easily evaluate and start monitoring data quality in your systems directly from the data catalog. See all data quality controls, trends, and anomalies in one place.
Data quality firewall
Prevent bad data from entering your systems. Publish any DQ pipeline as a web service and use it from your own application to validate, cleanse, or enrich data with user input.
Easily join and transform data with interactive visual transformations, modify data on the fly, and publish validated data for the rest of your company.
Data quality throughout and on every level
Automatically detect domains and business terms, and apply data quality rules consistently across the company. Report aggregated quality statistics and use data quality information for MDM, RDM, data catalog, data lineage, and more.
Identify duplicate records representing the same real-world entity (customers, patients, products, locations, or others) with matching rules or AI-based algorithms. Use various sophisticated methods to uncover hidden relationships in your data.
Data standardization & cleansing
Standardize, cleanse, validate, enrich, and match data as your applications need. Easily move from configuration to testing and deployment. Integrate data quality with existing ETL and CI/CD pipelines.
External data enrichment & validation
Plug in modules to connect to 3rd party, industry standard data enrichment & validation services.
Call any external API or even scrape web pages.
Detect irregularities in data loads, including data volume changes, outliers, and changes in data characteristics. Get notified and understand what’s happening. See improvements over time as the solution learns from user input.
Issue tracking & resolution
Identify, track, resolve, and prevent data quality issues automatically. Data stewards can correct errors, eliminate duplicates, and match & merge records.
Consistently mask data, create data for test environments, and transfer anonymized data to the cloud. Our smart engine preserves data quality and characteristics.
“Take a data quality product and implement it in such a quick turnout time, it’s actually quite great.”
Robust under the hood
High performance processing engine
Works on billions of records, can handle millions of API calls from frontend applications without compromising performance.
Files, structured, unstructured, NoSQL, data lakes, batch, streaming, messaging, APIs, web services, REST, synchronous and asynchronous, on prem, or in the cloud? No problem.
Set up and schedule flexible data processing pipelines with a variety of conditions and follow-up steps. Then integrate them into existing ETL or CI/CD pipelines.
Ataccama ONE configuration is separate from the processing engine and the deployment environment. Reuse configurations and save time testing and deploying your solution on different environments.
3. Creating data quality rules
Learn how to configure and test rules, and how to share and collaborate on…Read more
4. Setting up data quality reports and dashboards
Learn how to use data quality rules to set up monitoring projects.Read more
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Data Catalogs: Accelerating Analytics and Data Quality Operationalization
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Improved logistics and optimized merchandizing
The retailer leveraged Ataccama for in-place data lake processing with Spark to…Read more
The European bank successfully consolidated customer portfolios for multiple…Read more
UK Banking Group
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Toronto Public Library’s EY Park talks AI, Data & Ataccama
Discover how Toronto Public Library implemented Ataccama ONE Data Quality…Read more
Global Biotechnology Leader
A biotech company centralized product and customer data from hundreds of…Read more
UK Pharmaceutical Company
A major UK-based pharmaceutical company aligned data in various source systems…Read more
US Healthcare Provider
A major healthcare provider and facility operator in the United States…Read more
A specialist insurance and underwriting company improved data quality for…Read more
A major European bank harnessed text analytics with Ataccama for a 10x increase…Read more
US Passenger Airline
One of the world’s largest airlines undertook a major Reference Data Management…Read more
One of the largest US payment processing companies improved their data quality,…Read more
It doesn’t end
with data quality
Ataccama ONE is a full stack data management platform.
See what else you can do.