![]() ![]() Then the new corrected and validated ‘master’ data can be shared to downstream analytics systems and then back into source systems to drive operational improvements. Data from different systems can be matched and merged, validated against data quality and governance standards, and remediated where required. While governance systems can define data standards, MDM is where they're enforced. ![]() Bridging this gap is the job of Data Governance and MDM, and in the Azure world that means Microsoft Purview and Profisee MDM. What we need in that case is high quality, trusted data that is ready to use, whether it's being consumed in basic enterprise metrics or advanced AI algorithms. The ability to consolidate data from multiple disparate systems is key if we want to use the data to drive business insights and operational efficiencies – or any form of ‘digital transformation’. Not only does this improve quality of data by eliminating mismatched data across departments, but it ensures that data analyzed for business intelligence (BI) and other applications is trustworthy and up to date, reduces data load by removing duplicate records across the organization, and streamlines communications between business systems. It's the job of the MDM system to ensure your data remains consistent within the framework of these rules over time. This standardization process may involve automatic or user-defined rules, validations and checks. Master data management consolidates and standardizes all this differing information about the customer. Customer data may differ between systems, there may be duplicated records due to incorrect entry, or shipping and customer service systems may vary due to name, address, or other attributes. Master data management ensures data quality across an entire organization by maintaining an authoritative consolidated de-duplicated set of the master data records, and ensuring data remains consistent across your organization's complete data estate.Īs an example, it can be difficult for a company to have a clear, single view of their customers. ![]() For example, master data might include information on specific products, employees, customers, financial structures, suppliers, or locations. These key assets, or master data assets, are critical records that provide context for a business. To protect the quality of data within an organization, master data management (MDM) arose as a discipline that creates a source of truth for enterprise data so that an organization can check and validate their key assets. What is needed is data that is complete, and consistent, and accurate. In fact, it would be surprising if these inconsistencies weren't the case – but it does present a problem. Often, there are numerous inconsistencies in terms of the values themselves, and most often individual records are incomplete. When you look at the data drawn from each of these applications, you'll see that it's inconsistent in terms of both the standardization of data. Inevitably, data that was created in different ‘silos’ with different (or no) governance standards to meet the needs of their respective applications will always have issues. Hence, accuracy becomes a concern when using this data to drive insights into your business. During these movements, and over time, data can get duplicated or become fragmented, and become stale or out of date. Most of these businesses move massive amounts of data between applications, storage systems, analytics systems, and across departments within their organization. Typically, there will be ERPs, CRMs, Legacy applications, regional versions of each of these, external data feeds and so on. Why Data Governance and Master Data Management (MDM) are essential to the modern Data Estate?Īll organizations have multiple data sources, and the larger the organization the greater the number of data sources. This tutorial compiles reference and integration deployment materials in one place firstly to put Microsoft Purview Unified Data Governance and MDM in the context of an Azure data estate and more importantly, to get you started on your MDM journey with Microsoft Purview through our integration with Profisee. Microsoft Purview supports master data management with our partner Profisee. Master data management (MDM) is a key pillar of any unified data governance solution. ![]()
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