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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Reference Data Management Fundamentals: What It Is and Why It Matters
Reference data is data that defines the values that are used to classify and characterize other data. It is, in essence, the “What, Where, When, Who, and How” of data.
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Essential Features of Data Catalogs
Modern enterprises are data-driven, making effective data management one of the top priorities for companies. A data catalog is an essential part of a data management strategy, and enables users to easily find, understand, and trust their organization’s data.
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Data Catalog Fundamentals: Main Principles, Benefits, and Key Features
A data catalog is a centralized solution providing authorized users quick access to your company's most current and reliable business information.
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Master Data Management Fundamentals: Importance, Principles, and Benefits
Understand what Master Data Management is, why it is important, how it works, and what happens when you don't take care of master data.
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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.
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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.
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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.
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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.
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