The era of generative AI has arrived, unlocking unprecedented opportunities for individuals, businesses, and industries alike. However, this transformative potential is met with the rising complexity of cyberattacks, tightening regulations, a rapidly growing data landscape, and the increasing demand for actionable insights. These challenges are pushing business leaders to adopt a modern data governance and security strategy to ensure they are prepared for the AI-driven future.
Microsoft Purview offers a robust suite of solutions designed to help your organisation effectively govern, protect, and manage data, no matter where it resides. By providing integrated coverage, Microsoft Purview addresses the common challenges of data fragmentation across organisations, the lack of visibility that complicates data protection and governance, and the evolving roles within IT management.
The Microsoft Purview data governance solution is built on years of practical experience and proven methodologies gained from guiding both Microsoft and their enterprise customers through their data transformation journeys. This solution is based on the following principles:
Effective data governance should empower an organisation to swiftly and responsibly generate value from its data. By grounding data governance efforts in measurable business objectives and key results (OKRs), organisations can align their governance strategies with core business priorities, clearly demonstrating the tangible business value of their initiatives.
A modern data governance solution should provide a unified, single-pane-of-glass experience that seamlessly integrates across multi-cloud data sources. This approach streamlines data curation, management, health controls, discovery, and understanding, all while ensuring compliant, self-service data access. By eliminating the need for costly, laborntensive custom solutions or multiple point tools, organizations can focus on accelerating their data governance practices, enabling federated governance across business units, and providing leaders with real-time insights into governance health.
As data estates continue to expand and evolve, the need for simplified governance becomes paramount to ensure efficient business adoption and implementation. AI-driven natural language interactions and machine learning (ML)-based recommendations are essential for simplifying governance processes and accelerating the adoption of data governance practices.
Data governance solutions must be tailored to support the practice of federated governance, unique to each organisation. Just as embracing cloud solutions requires a shift to becoming a cloud-first company, adopting effective data governance requires a commitment to becoming a data governance-focused organization. Achieving success in modern data governance demands alignment and support from the C-Suite, and solutions that are simple, efficient, customisable, and flexible enough to activate your unique governance practices.
Elevate Your Data Governance Strategy with Microsoft Purview
Microsoft Purview’s data governance capabilities will help any organisation of any size to accelerate business value creation in the era of AI.
Crafted with the business user in mind, the new governance experience is designed to support various functions across the organisation, providing clear role definitions for governance administrators, business domain creators, data health owners, and data health readers.
In Data Management, users can easily define and assign business-friendly terminology, such as “Finance” or “Claims.” This intuitive language carries through the entire data governance process, from Data Products (collections of data assets used for specific business functions) and Business Domains (ownership of Data Products) to Data Quality (quality assessments), Data Access, Actions, and Data Estate Health (reports and insights).
The new data quality model empowers your organisation to establish rules at every level—from business domains and data products to the individual data assets themselves. By setting policies on specific terms or rules, you can streamline governance processes, significantly reducing the manual effort required by data stewards, sometimes by hours or even days depending on the scale of your data estate. Once these rules and policies are in place, the data quality model automatically generates data quality scores at the asset, data product, or business domain level, providing you with quick, insightful snapshots of your data quality in relation to your business rules.
Within this data quality model, two key metadata analysis capabilities are available: 1) profiling, which offers quick insights from sample sets, and 2) data quality scans, which perform in-depth analyses of entire data sets. These profiling tools leverage your predefined rules or built-in templates to evaluate your metadata, delivering valuable data quality insights and actionable recommendations.
At Spanish Point Technologies, we understand the critical importance of effective data governance in today’s complex digital landscape. Microsoft Purview offers a powerful solution for managing and protecting your data across multi-cloud environments, but the journey to successful implementation requires expertise and strategic insight. Our team at Spanish Point Technologies is here to help your organisation navigate this process, from initial planning and deployment to ongoing optimisation.
