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.Recently published
What is a Data Mesh?
Learn about the new decentralized architecture and governance concept: the data…
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The Cost of Poor Data Quality
Using poor data quality in your business operations has a negative tangible…
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Data Quality Storytelling: A Better Way to Do DQ Reporting
Liven up your DQ reports with the latest data visualization technology.
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Why Pie Charts are Evil
Pie charts get a lot of criticism from the data visualization community. Find…
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How to Tell Stories with Data: 5 Steps to Make it Work
Why settle for simple data visualization when you can learn how to tell stories…
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5 Reasons Why the Data Catalog and Data Quality Work Better Together
Data catalog is an essential tool for data and analytics leaders. Learn how…
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Census Data Quality Is Essential: Here’s Why
High quality census data is essential for producing accurate population…
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7 Essential Data Quality Management Capabilities
Learn which capabilities are a must-have in your data quality solution.
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How to Get Started with Data Quality: The 3 Steps You Should Take First
Starting out with data quality can be hard. We're breaking it down for you in…
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What is a Data Fabric and Why You Should Care
Understand data fabric through our straightforward definition. Then discover…
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Why Data Quality is Crucial for Successful AI Implementations
Learn why data quality is key to successful AI.
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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…
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What is a Data Steward?
Learn about data stewards, their responsibilities, and the 5 different types of…
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What is Data Governance and Why is it Important?
What is data governance? Data governance is a set of processes and rules that…
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What is Data Profiling?
Data profiling is the first step to any data initiative. It’s a series of…
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Enterprise Data Quality Fabric: A Primer
Enterprise Data Quality Fabric is the new way to manage data and deliver it to…
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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…
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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…
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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…
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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…
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Essential Features of Data Catalogs
Modern enterprises are data-driven, making effective data management one of the…
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Data Catalog Fundamentals: Main Principles, Benefits, and Key Features
A data catalog is a centralized solution providing authorized users quick…
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What is Master Data Management and Why is it Important?
Understand what Master Data Management is, why it is important, how it works,…
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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…
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