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Microsoft Azure

CluedIn Announces Integration with Open Mirroring in Microsoft Fabric

CluedIn

CluedIn, a leading provider of modern Master Data Management (MDM) and data quality solutions, today announced its integration with Open Mirroring in Microsoft Fabric. This development empowers enterprises to seamlessly synchronize, govern, and enrich their data across platforms, unlocking new levels of efficiency and insight in data management.

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CluedIn Announces Integration with Microsoft Fabric as a Fabric Workload

CluedIn

CluedIn, a leader in modern Master Data Management (MDM), proudly announces its integration into Microsoft Fabric as a Fabric Workload. This milestone enhances CluedIn’s position as a flexible and business-friendly data management platform, empowering organizations to seamlessly unify, enrich, and govern their data within the Microsoft ecosystem.

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CluedIn Announces CluedInsight: An Interactive Virtual Event for Data Professionals

CluedIn

We are excited to announce our first-ever virtual event, CluedInsight, set to take place on May 28, 2025. This dynamic, interactive event will provide data professionals with an exclusive opportunity to explore the future of data management, hear from thought leaders, and gain actionable insights that can transform their business operations.

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From Excel to Excellence: Transforming Data Management with CluedIn

CluedIn

For decades, Excel has been the backbone of countless business operations. Its flexibility, accessibility, and familiarity have made it an indispensable tool in data management. However, as businesses grow and the complexity of data increases, Excel's limitations become apparent. It's time to move beyond operating your business on Excel and embrace a modern, centralized platform like CluedIn.

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Unlocking the Full Potential of ERP Migration with CluedIn

CluedIn

Organizations are constantly looking to streamline operations and improve efficiency. A common step in this journey is migrating multiple legacy ERP systems into a modern, unified ERP platform. However, as anyone who has tackled such a project knows, the road to ERP consolidation is fraught with challenges: siloed data, inconsistent formats, duplicate records, and poor data quality can derail even the best-laid plans.

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Nine Years Building a Master Data Management and Data Quality Platform – Here’s What We Learned

CluedIn

Over the last nine years, our journey at CluedIn has been dedicated to mastering data management and data quality. We’ve encountered countless challenges, learned from our customers, and seen first-hand the transformative potential of good data. So, what have we learned along the way? Here are the top insights we’ve gained from nearly a decade of building a platform designed to meet the real needs of modern businesses.

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A New Era for CluedIn: Our Refreshed Website and Refined Message

CluedIn

At CluedIn, we're excited to announce a refreshed website and refined messaging that reflect our deep commitment to helping businesses overcome their most pressing data management challenges. Our new site is designed to communicate CluedIn’s core mission and values more clearly than ever, and it better showcases how we are innovating in data quality, Master Data Management (MDM), and AI-enhanced data management solutions.

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Integrating CluedIn into a Modern Medallion-Style Data Architecture

CluedIn

The modern medallion-style architecture has become the standard framework for managing data flow through various stages of transformation and enrichment, typically organized as Bronze, Silver, and Gold zones. Each stage serves its own purpose: Bronze for raw data, Silver for cleansed data, and Gold for highly refined, analytics-ready data.

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How AI Agents are Transforming Data Management

CluedIn

In recent years, artificial intelligence has significantly impacted data management, but we’re on the cusp of something even bigger: AI agents transforming how data teams operate. Unlike traditional automation, which often handles repetitive tasks, AI agents bring a new level of intelligence and collaboration. They’ll be pivotal in shaping how data is managed, governed, and utilized, providing unique advantages that extend beyond mere efficiency.

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