Today, we announced a powerful suite of updates to CluedIn, designed to make data management more seamless, efficient, and intelligent for business users. Our latest offerings bring AI-powered insights and continuous data quality management right to your fingertips, helping organizations stay agile and efficient in an increasingly data-intensive landscape.
We’re proud to introduce a series of powerful new features and integrations between CluedIn, Microsoft Fabric, and Microsoft Purview, designed to help organizations unite business and technical teams as they realize value from across their data estate. From exporting data to target Fabric applications and real-time data lineage in Purview, here’s how CluedIn is enhancing the way you manage data in the Microsoft ecosystem.
CluedIn and Telefónica Tech announce new partnership to accelerate data-driven value for Microsoft customers
In the world of traditional data management, reference data and master data are treated as two different categories of data. Reference data is used to classify or categorize other data, and master data is business-critical data shared by multiple systems, applications, and processes. Conventionally, examples of master data include customer data, product records, and vendor data. Reference data includes code lists, taxonomies, and hierarchies of data, amongst other things.
Believe it or not, the structure of your MDM system can dramatically affect your organization's ability to derive insights and value from data. Traditional Master Data Management (MDM) systems are built using relational databases, whereas more modern platforms utilize Graph. With their superior handling of interconnected data, graph-based systems offer distinct advantages in several key scenarios over traditional relational databases.
The new Microsoft Purview Data Governance experience, announced at today’s Microsoft Fabric Community Conference, enables every organization to accelerate the creation of responsible value from its data.
By simplifying operations through AI-powered assistance and promoting federated governance across multi-cloud data estates, Microsoft Purview now offers a sophisticated yet straightforward business-friendly interface, enhancing integration across data sources and paving the way for AI-driven natural language experiences.
This new SaaS offering, currently available in preview, is built upon Microsoft's own data governance journey and lessons learned from its enterprise customers, embodying principles of unified, integrated, and extensible data management solutions. With this advancement, Microsoft aims to empower organizations to govern, protect, and manage data effectively, ensuring readiness for AI applications while addressing the challenges of cybersecurity, regulatory compliance, and the need for actionable data insights.
Augmented Data Quality (ADQ) leverages advanced technologies such as AI and ML to enhance traditional data management practices. It automates the detection and correction of data issues, enabling data leaders, data stewards, and domain experts to ensure higher data accuracy, consistency, and reliability. This approach is vital in today's fast-paced data environments, where manual oversight is impractical due to the sheer volume and complexity of data. ADQ represents a shift towards more dynamic, responsive data governance models, aligning closely with strategic business objectives by providing a cleaner, more trustworthy data foundation.
ADQ becomes crucial in various scenarios, such as when organizations face rapid data growth, deal with data from multiple, disparate sources, or require real-time data analysis for decision-making. It's also essential when businesses undertake digital transformation projects that necessitate clean, reliable data for new applications. In addition, industries regulated by strict data compliance standards need augmented solutions to ensure accuracy and adherence to regulations. Essentially, any situation where the volume, velocity, or variety of data overwhelms traditional management approaches calls for augmented data quality solutions.
Enterprises constantly seek solutions that not only streamline their data processes but also align seamlessly with their existing technology stack. For businesses that have committed to the Microsoft Azure ecosystem, CluedIn is the go-to Master Data Management (MDM) solution. Here we explore five fundamental reasons why CluedIn stands as the most natural choice for Master Data Management on Microsoft Azure.