Data Digest
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Alation Launches Salesforce Connector to Enhance Data Trust
We are excited to announce a new strategic partnership with Salesforce. This partnership will bring data governance and deep insights around data lineage into Salesforce Data Cloud. With this bidirectional integration, Alation joins the Salesforce Data Governance alliance.
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How to Choose the Best Enterprise Data Catalog: Key Criteria Uncovered
It's analyst report season! In the next few months, analyst firms will provide guidance on how to approach the data catalog market and key criteria for choosing a data catalog. These reports can be helpful starting points. But they should be just that: a starting point. With over 12 years of experience and a customer base of nearly 600 enterprises, including 40 of the Fortune 100, we've developed a comprehensive understanding of what truly matters in a data catalog solution to deliver business success. Here are our key criteria uncovered:
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Why Metadata Maturity Matters for AI-Ready Data: Key Points from Gartner
In the age of Artificial Intelligence (AI), effective governance is critical to success. According to Gartner’s Market Guide for Metadata Management Solutions, active metadata management is central to ensuring governance – which makes it also essential for AI readiness. This blog highlights key strategies from the guide, offering practical recommendations for business leaders to establish a framework that ensures data reliability and regulatory compliance, while also delivering business value.
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What is Data Architecture? A Detailed Overview
Data architecture serves as the foundational blueprint for managing the entire data lifecycle, encompassing frameworks to ensure data is safe, secure, compliant, and high-quality. Effective data architecture can transform data into a valuable asset that not only supports internal decision-making and compliance but also drives product development and fosters innovation.
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What Is Reference Data Management?
Introduction to Reference Data Management
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Mastering Data Quality Monitoring: Essential Checks & Metrics for Accuracy
Data quality is essential for any organization that relies on accurate and reliable information. Poor data quality has a massive financial impact on businesses. In 2021, Gartner estimated that bad data costs organizations an average of $12.9 million annually, and IBM pegged the U.S. cost at $3.1 trillion back in 2016 (TechTarget). While the importance of clean data is clear, how do we ensure it stays that way over time? Monitoring data quality can range from simple checks to increasingly sophisticated strategies that assess both the data itself and the processes generating it.
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Gain Full Visibility Into Your Data Stack with Alation and Coalesce
As the modern data stack has evolved, understanding how each tool and system in your data architecture consumes and processes data has become a complex, often disjointed effort. Today, we commonly see data stacks that have separate tooling throughout each stage of data processing. Using solutions like Coalesce for data transformation brings significant benefits for data engineering teams and organizations, from automating repetitive manual tasks and enhancing productivity to enabling transparency and collaboration on data projects. However, understanding how your data got to Snowflake, or how your data is used after it is transformed using Coalesce alone, is still a manual, time-consuming effort.
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Alation Anywhere for Chrome: Webinar Highlights
In a recent Alation Brief, team members unveiled a new integration designed to increase the efficiency of all data users: the Alation Anywhere Chrome Extension. This tool delivers real-time metadata directly into users’ daily workflows, reducing the need for them to pivot between tools, streamlining efficiencies, and saving time.
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AI Governance: Strategies to Mitigate Risk and Ensure Compliance
This is part two in a two-part series exploring AI governance for business succes. Read part one here.
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Why Data Governance is Essential for the Insurance Industry
The foundation of insurance is data and analytics. Actuaries and their mathematical models enable insurers to calculate risk to determine premiums. Today, the rise of digital insurance companies and the changing risk landscape together drive the industry’s digital transformation.
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What Is a Data Catalog? Importance, Benefits & Features
A data catalog is a repository of data assets with information about that data. It offers tools to help people find trusted data, understand it, and use it appropriately. As a metadata repository, it gives people the context they need to leverage data effectively.
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