Data Governance and Compliance with Purview
4 week Pilot Implementation of Purview
- Understand what your organization wants and needs from data governance.
- Consider common objectives:
- Improving data discovery
- Enhancing analytic collaboration
- Maximizing return on investment (ROI)
- Develop a comprehensive data governance experience:
- Address specific requirements across different groups
- Cater to various data domains within your organization
- Develop a well-planned deployment strategy for Azure Purview.
- Outline the transition from research and planning to a production environment.
- Focus on user adoption:
- Ensure business users have access to the information they need for better decision-making.
- Identify questions your team may have as you begin the implementation process.
- Determine where to find answers to these questions.
- Start addressing questions early in the deployment.
- Consider a phased deployment strategy tailored to your organization’s needs.
- Continue to grow your deployment over time.
- Refine and mature your environment as you gain experience with Microsoft Purview.
- Leverage best practices for various applications and features within Microsoft Purview to optimize your governance platform.
Data Warehouse with Azure Fabric
12 week Pilot Implementation
- Collaborate with clients to:
- Understand their business needs
- Identify data sources
- Determine reporting requirements
- Conduct an assessment of existing data infrastructure:
- Identify gaps
- Highlight opportunities for improvement
- Implement role-based access control (RBAC) to ensure data security.
- Address compliance requirements (e.g., GDPR, HIPAA) by configuring:
- Data masking
- Data encryption
- Auditing
- Create a robust data warehouse architecture tailored to the client’s specific use cases.
- Define within the Azure Fabric ecosystem:
- Data pipelines
- Data ingestion patterns
- Storage solutions
- Integrate the data warehouse with analytics and reporting tools such as:
- Power BI
- Azure Synapse Analytics
- Azure Analysis Services
- Enable business users to:
- Explore data effectively
- Visualize data effectively
- Implement data pipelines to perform ETL (extract, transform, and load) processes from various sources into the data warehouse.
- Use tools such as Azure Data Factory, Azure Databricks, and others for efficient data movement and transformation.
- Provide training sessions for end-users on:
- Accessing the data warehouse
- Querying the data warehouse
- Create comprehensive documentation covering:
- Data lineage
- Schema
- Best practices
- Fine-tune query performance by optimizing:
- Data partitioning
- Indexing
- Caching
- Set up monitoring and alerting to proactively address issues related to:
- Data quality
- Latency
- Resource utilization
Reporting and Analytics with PowerBI Co-Pilot
6 week Pilot Implementation
- Leverage Copilot for Power BI to automatically create report pages. Copilot uses generative AI to assist in building visuals, narratives, and summaries based on your data.
- With just a few clicks, you can save hours of effort by letting Copilot handle report design and layout.
- Implement the CoE Power BI Dashboard to gain deep insights into your Power Platform adoption. Monitor usage, identify patterns, and nurture makers within your organization.
- The CoE dashboard provides visualizations and insights related to environments, apps, Power Automate flows, connectors, makers, and audit logs.
- Microsoft Fabric reshapes how teams work with data by providing an end-to-end analytics platform. It connects data sources, analytics services, and users on a unified platform.
- Integrate Power BI natively with Fabric, enabling seamless access to governed data from the unified data lake, OneLake.
- Copilot allows seasoned BI professionals to scale their report creation efforts faster.
- Less technically skilled users can explore data, create reports, and answer questions without burdening data teams.
CASE STUDY
- Azure Purview for Manufacturing
- Azure Fabric data warehouse for Manufacturing
- CoPilot Implementation for Manufacturing
- Customer Data Quality Analysis for Manufacturing
- Generative AI Based Mortgage loan processing for mortgage aggregator
- Delivery App for a startup
- 360 B Prescription Drug Product Innovation in Azure
- Nursing Home reimbursement Product innovation in Azure for consulting company
- Azure data modernisation for Education content management system
- Data Governance Process using Purview for Fortune 1000 healthcare company
- Data Governance Process using Purview for Fortune 2000 retailer
- Data quality assessment of customer data of regional bank
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