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IDC MarketScape for Data Intelligence 2024: Key Takeaways

In the latest  IDC MarketScape: Worldwide Data Intelligence Platform Software 2024 Vendor Assessment, Alation has been named a Leader. This year’s report evaluates the 13 vendors in the space. 

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Alation’s New Power BI Integration in Microsoft Fabric: Empowering Modern Data Teams

We're excited to announce that Alation now supports Power BI within Microsoft Fabric, Microsoft’s unified platform to streamline and centralize data workflows. This integration reflects Alation’s commitment to becoming the go-to metadata hub for the Fabric ecosystem, helping organizations navigate the rapidly changing landscape of data management and maximize the value of their data.

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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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