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How to Ensure Data Quality and Consistency in Master Data Management

In the digital age, organizations increasingly rely on data for strategic decision-making, making the management of this data more critical than ever. This reliance has spurred a significant shift across industries, driven by advancements in artificial intelligence (AI) and machine learning (ML), which thrive on comprehensive, high-quality data. This evolution underscores the importance of master […]

Common Master Data Management (MDM) Pitfalls

Leaders need to trust data within the organization to make sound business decisions. So, many turn to master data management (MDM), a solution to get and keep uniform and accurate data that increases business value. Yet, according to Gartner, 75% of all MDM programs across organizations fail to meet business objectives. Moreover, this trend has worsened since 2015, […]

Master Data Management Tools

Master data management uses a combination of tools and business processes to ensure the organization’s master data is complete, accurate, and consistent. Master data describes all the “relatively stable” data that is critical for operating the business. This includes semi-permanent information about products, locations, employees, customers, etc. For example, if a specific customer purchases several products […]

Master Data Management Best Practices

Modern businesses can stay competitive by using the best practices for master data management (MDM). These best practices promote the use of clean, accurate data about suppliers, customers, and products. This, in turn, supports better analytics and business decisions. A master data management solution supports the development of master data, which can provide consistent, accurate data […]

Data Fabric Use Cases

Data is expanding in volume, variety, and sources; therefore, so is the business need for trustworthy, accurate, and timely data for on-demand “competitive intelligence.” Data fabric use cases offer a long-range technological solution for handling the myriad challenges that come with such a complex data ecosystem. This “converged platform,” designed with a unique architecture and […]

Without Trusted Core Data, Data Mesh Is Data Meh

Organizations seeking responsive and sustainable solutions to their growing data challenges increasingly lean on architectural approaches such as data mesh to deliver information quickly and efficiently. Data mesh and other virtual data approaches connect, unify information, and make it available across numerous data silos and warehouses to get it efficiently into the hands of analysts and other […]