According to our definitive guide on MDM, master data management is “…the technology, tools and processes that ensure master data is coordinated across the enterprise.” By practicing MDM, organizations can make sure their master data is accurate, consistent and complete, no matter where it’s used or stored.

In Azure, you can use Profisee MDM in tandem with other tools like Microsoft Purview, Azure Databricks and Azure Data Factory to enable analytical and operational MDM use cases and to drive business results. Profisee features native integration with popular Azure tools and is available as a native workload in Microsoft Fabric.

You can load master data from source systems into Profisee by either using Profisee’s built-in integration capabilities or by using Azure Data Factory. Microsoft Purview scans and classifies data sources for building a data catalog while Profisee removes duplicate records and enforces data governance policies defined in Purview to make sure data is standardized and accurate. From there, golden records in Profisee are made available to downstream tools like Power BI, Azure Synapse Analytics and Azure Machine Learning.

Microsoft Purview is a data governance tool while Profisee is a master data management tool. These tools are commonly used together to support data governance programs, but they perform different functions and play different roles. Here’s how they work together:

• Microsoft Purview: A data governance tool that scans and classifies source data for building a map of your data estate. Purview is used to define data governance policies for better data quality, security and compliance that can then be enforced by an MDM tool like Profisee.
• Profisee MDM: A master data management tool that integrates, deduplicates, cleanses and enriches data to create golden records that can be used for a number of applications, including analytics and data products. Commonly used in conjunction with data governance tools like Purview, which provide metadata about the master data in addition to the data governance policies that dictate how master data records should be handled.

You can integrate data from multiple different source systems into Profisee, match and merge duplicate records, standardize them according to data governance policies and then enrich the data before publishing the golden records to downstream systems like Power BI, Azure Databricks and Azure Synapse Analytics.

Microsoft Purview Data Lifecycle Management helps organizations retain necessary data and delete data that is no longer needed. This process not only supports compliance and regulatory requirements but also mitigates risks by reducing unnecessary data exposure.

Integrating MDM solutions like Profisee with Microsoft Purview enhances data lifecycle management by ensuring the data being governed is accurate, consistent and trustworthy. Profisee MDM achieves this by matching, merging, standardizing, cleansing and enriching master data according to established governance rules, as defined in Purview. This integration allows for seamless publishing of golden master data records to Purview, further populating the Unified Catalog and ensuring that critical data sources are well-documented and governed.

By combining MDM with Purview’s data lifecycle management capabilities, you can effectively manage your data’s lifecycle, ensuring that high-quality, trusted data is retained as needed and obsolete or redundant data is appropriately disposed of.

No, Azure does not offer a tool for master data management, but you can use third-party MDM tools like Profisee with the Azure tools you already use. Profisee works with Azure tools like Microsoft Purview, Azure Data Factory, Microsoft Power BI and Azure Databricks to support a wide range of analytical and operational use cases. For more information on how Profisee can help with specific business use cases, visit our MDM use cases library.

Profisee is also available as a native workload in Microsoft Fabric, letting you access the full functionality of Profisee using the same Fabric UI you already know and without leaving the Fabric ecosystem.