Magic Quadrant™ for Data Quality Solutions
Data Governance with Limited Resources: Leverage AI & Automation
Automating metadata capture revolutionizes the process of rolling out an enterprise data catalog. It eliminates the need to manually populate business metadata and enables users to focus on what matters: introducing and improving data governance. In this webinar you'll learn how to:
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What is Data Fabric and Why You Should Care
Understand data fabric through our straightforward definition. Then discover how it works, its benefits, and much more.
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The evolution and future of data quality
Learn about the evolution of data quality from SQL to the Data Quality Fabric and into the future.
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What is a Data Steward?
Learn about data stewards, their responsibilities, and the 5 different types of data stewards.
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What is data governance?
What is data governance? Data governance is a set of processes and rules that define how your company handles data management. Learn more in this article.
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What is Data Profiling?
Data profiling is the first step to any data initiative. It’s a series of checks and analyses undertaken to gain an increased understanding of data.
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Data Quality Fabric Primer
Enterprise Data Quality Fabric is the new way to manage data and deliver it to humans and machines in the best quality and fastest timeframes.
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Faster Medical Claims through RDM
Reference Data Management supports the world’s largest collection of medical claim and pharmaceutical data.
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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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