Spyglass’s End-to-End Data Governance offering is a 4-Month $150k implementation of Profisee and Azure Purview to provide a holistic data governance foundation across your enterprise data stack.
Spyglass’s End-to-End Data Governance offering is a 4-Month $150k implementation of Profisee and Azure Purview to provide a holistic data governance foundation across your enterprise data stack. The combination of Azure Purview and a deeply integrated MDM solution, Profisee, is a tremendous benefit for organizations seeking better data governance and mastered entities. Spyglass’s End-to-End Data Governance offering focuses on establishing the complete foundation for data governance and master data management.
Our approach deploys an integrated Master Data and Data Management environment leveraging Azure Well-Architected and the Cloud Adoption Framework for Data Governance. Our solution follows the best practices to deploy a “data management landing zone” through Azure Blueprints.
We leverage our Azure Blueprint Solutions Accelerators across all deployments for Analytics, Data Integration & Data Management to implement the technology with the Cloud Adoption Framework. Our Data Management blueprint and complete package includes a secure and best practice deployment of Azure Purview, Profisee, a toolkit and templates to integrate data in and out of Profisee and a defined plan for guiding you through the business objectives and tasks to manage MDM and Data Governance with Profisee and Microsoft Purview. As a Profisee partner we can help you with your licensing and implementation.
Agenda: Stage 1: Initiation (Week 1) Stage 2: Implementation & Deployment (Week 1-15)- Design & Envision (Week 1-3) Build & Deploy (Week 3-8) Integrate (Week 7-12) Operationalize & Adopt (Week 11-15) Stage 3: Closure (Week 16)
Deliverables: Technical Documentation, Governance Strategy Design and Operational Guide, Production Purview and Profisee Integration, Mastered & Governed data assets, Long-term Support/Enhancement Strategy- Spyglass 365.
Price varies based on scope of source systems, complexity of collections, number and complexity of mastered entities and attributes, environment strategy, etc.