Business leaders are facing increasing pressure to implement a modern data governance and security strategy to ensure their organisation is prepared for AI-driven transformation.
Microsoft Purview is a comprehensive set of solutions that can help your organisation govern, protect, and manage data, wherever it lives. By providing unified governance, protection, and management capabilities, Purview helps organisations gain visibility into their data estate, mitigate risks, and ensure compliance with regulatory requirements. With Purview, organisations can overcome the fragmentation of data, improve data protection, and streamline IT management processes.
Today Microsoft announced that the general availability of its new Microsoft Purview data governance solution, designed to help today’s data leaders solve their key governance and security challenges in an AI-powered, business friendly, and unified solution.
Unlocking modern data governance in the era of AI with Microsoft Purview
Microsoft’s vision for a modern data governance solution is based on the following principles:
- Anchored on Durable Business Concepts: Effective data governance is essential for organisations to unlock the full value of their data while ensuring responsible and ethical use. By anchoring data governance investments to measurable business objectives and key results (OKRs), organisations can demonstrate the tangible benefits of their efforts and drive positive business outcomes.
- A Unified, Integrated, and Extensible Experience: A modern data governance solution should provide a single-pane-of-glass experience, seamlessly integrating with multi-cloud data sources to manage curation, health controls, discovery, and understanding. Supported by compliant, self-serve data access, this cohesive approach eliminates the need for costly, custom-built solutions. This allows organisations to focus on accelerating data governance practices, enabling federating governance across business units, and gives business leaders real-time insights into governance health.
- Scale Success with AI-enabled Experiences: As data estates continue to grow and evolve, simplicity is essential to drive business adoption and implementation efficiency. Natural language interactions and machine learning (ML)-based recommendations are key to streamlining governance processes and accelerating the adoption of data governance practices.
- A Culture of Data Governance and Protection: Effective data governance solutions must be tailored to the specific needs of each organisation, supporting a federated approach that empowers various teams to manage their data effectively. Modern data governance success requires C-Suite alignment and support, and must be simple, efficient, customisable, and flexible to activate your unique practice.
A business-friendly approach to govern multi-cloud data estates
Tailored for business needs, the new governance experience provides clear role definitions for governance administrators, business domain creators, data health owners, and data health readers, ensuring support for various functions across the organisation.
In Data Management, customers can easily define and assign business-friendly terminology (such as Finance and Claims). This language carries through the data governance experience, spanning Data Products, Business Domains, Data Quality, Data Access, Actions, and Data Estate Health.
Built-in data quality capabilities and rules which follow the data
The new data quality model allows organisations to set rules from the top down, across business domains, data products, and individual assets. Policies can be applied to terms or rules, streamlining the process and saving data stewards significant manual effort, depending on the size of data estate. Once these rules and policies are in place, the model generates data quality based on business rules.
