Expert Systems: On the Road to Self-Driving Data Management
If cars can drive themselves, why can't data management? Artificial intelligence can now facilitate the classification and processing of metadata, leading to remarkable gains in efficiency, quality and speed. Find out more in this webinar.

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Insurance provider standardizes global underwriting, saving 100s of work hours monthly
To underwrite client insurance requirements quickly, the organization needed to standardize the quality of their worldwide brokerage data.
Read moreRights management organization streamlines performance royalty collection
Faster calculation enables royalties to be paid within days of play, not in monthly or quarterly batches.
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4 Data Management Disciplines that Help Pharma Make the Most of Clinical Trial Data
Learn how pharmaceutical companies can use data management to take control of their clinical trial data.
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Ataccama ONE Gen2: Your Questions Answered
Our answers to the most frequent questions about Ataccama ONE Gen2.
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We have launched Ataccama ONE Gen2!
On Nov 16, we unveiled our new platform for data management & governance—Ataccama ONE Gen2. Learn about everything that's new.
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Data Management is Key to Containing Covid-19 and Future Pandemics
Robust data management principles and processes are necessary for smart quarantine, more accurate analyses of the Coronavirus, and more informed decisions about reopening economies around the world.
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Data Catalogs: Accelerating Analytics and Data Quality Operationalization
Read this blog post to see how a data catalog can accelerate data discovery, data preparation, and operationalization of data quality solutions.
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Augmented Data Lineage: What It Is, and Why It Matters
Read this blog post to learn what augmented data lineage is and how business and analytical roles within enterprises can use it to find data and perform root cause analyses faster while avoiding corporate red tape.
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RSA
RSA implemented Ataccama’s Reference Data Management solution on AWS to centralize data management, avoid data duplication, and propagate a single version of reference data to consuming systems.
Read moreUK charitable organization
The charity implemented Ataccama ONE MDM to master and consolidate enterprise-wide data into a platform that could be shared across the organization as a single version of the truth.
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X5
The retailer leveraged Ataccama for in-place data lake processing with Spark to ensure efficient logistics, optimize merchandising, and produce reliable reports for business development based on high-quality data.
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Raiffeisenbank a.s.
The European bank successfully consolidated customer portfolios for multiple acquisitions and built an MDM hub to power its operations, prevent fraud, and facilitate regulatory compliance.
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Boost Data Catalog Crowdsourcing with Automated Metadata Capture
Learn why crowdsourcing should come as step two in data catalog population and how automating metadata capture makes crowdsourcing more efficient.
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Automating Metadata Management: A Real-World Example
Read this article to learn how we migrated a client’s metadata management solution to the Ataccama ONE Data Catalog and created an automated process for keeping metadata up to date.
Read moreUK Banking Group
Learn why one of the largest banking groups in Europe selected Ataccama as their enterprise data quality solution, and kicked off cooperation with a regulatory-driven data quality monitoring use case for BCBS 239.
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How AI is Transforming Data Management
Discover how our Ataccama ONE platform automates manual and time-consuming tasks and optimizes performance throughout the platform.
Read moreFrench Retailer
A leading French retailer implemented an integrated MDM solution to direct data from multiple source systems to a single customer repository for cleansing and matching.
Read moreEuropean Railway Operator
Ataccama enabled reliable capacity, route, and financial planning via a centralized reference data management solution, providing data automatically to all key consuming systems.
Read moreGDPR: European Banking Group
Ataccama implemented centralized consent management and authorization for the bank’s customer data, laying a foundation for the group’s compliance with regulation and legislation such as GDPR.
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4 Reasons Your Data Lake Needs a Data Catalog
Data lakes contain several deficiencies and bring about data discovery, security, and governance problems. Learn how implementing a data catalog can solve these problems.
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