Supercharge Microsoft Purview with EncompaaS
Authored by EncompaaS - Aug 13, 2024
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Unlock the full potential of your data with EncompaaS and Microsoft Purview.
Together, these powerful platforms deliver enhanced insights, reduce risk, and maximise value, while extending governance, compliance, and document management capabilities across your organisation.
With EncompaaS, you can build a solid foundation of data quality in Azure, driving better outcomes across all Microsoft platforms, including Purview. Our horizontal data layer enables seamless discovery across all data sources—structured and unstructured—while providing enhanced classification, precise sensitivity tags, and rigorous label validation.
Imagine having a comprehensive view of your data, whether it’s within your Azure tenant or managed in an EncompaaS SaaS environment. EncompaaS automates metadata enrichment with seamless bi-directional exchange with Microsoft Purview, accelerates eDiscovery and AIP, and expands your M365 and SharePoint capabilities.
Key Benefits:
- Unified Data Platform: Seamless discovery across all structured and unstructured data sources.
- Enhanced Classification: Precise sensitivity tags and label validation for superior governance.
- Comprehensive Data Visibility: View your data across Azure and EncompaaS environments.
- Automated Metadata Enrichment: Bi-directional integration with Microsoft Purview.
- Maximised Investment: Prepare your data for compliant AI adoption and enrich information to expand your data pool.
How EncompaaS Works with Purview:
- Remove Manual Processing: Automate the discovery of information in non-M365 repositories and publish to SharePoint.
- Visualise Your Data: Interactive dashboards to understand data trends and make informed governance decisions.
- Govern Information Beyond M365: Identify and manage ROT data to reduce storage costs and streamline your data strategy.
Featured Resources
- Video
Understand Your Data & Harness Generative AI
Jesse Todd (CEO, EncompaaS) and Jaimie Tilbrook (CPO, EncompaaS) delve into the critical challenges companies face in managing their vast data landscapes, emphasizing the importance of understanding what data is, where it is located, its context, and its value.
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