Leverage Data Lineage to Meet the Demands of Analytics and Regulatory Compliance
We dive into how data lineage can help you simplify the consumption and understanding of data flow throughout the enterprise. To learn how to properly manage the impact of application changes on downstream systems and how to decipher complex algorithms in systems that supply data to the “Data Lake” and more.
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Embracing the Future of Data Governance with our Clients, Part 2
We asked our clients in the Asia Pacific region about their challenges to becoming data-driven and what they’re working on and excited about for the future.
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Embracing the Future of Data Governance with our Clients, Part 1
Learn how our customers manage data in the cloud, use AI, and make data accessible to more people in the enterprise.
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What Is Data Quality and Why Is It Important?
Learn what data quality is, why it is important, what costs and risks bad data carries, and how you can get started with data quality today for free.
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5 Proven Techniques For Successful Data Governance
Learn 5 useful techniques from our experts in Data Governance.
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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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Rights 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.
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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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