Improve data governance and speed up discovery with Azure Purview and Power BI

Part two of the Confident Decision Making with Power BI webinar series.

IT and business leaders alike are often surprised by the fast adoption of Power BI by employees. However, with wider use comes the risk of accidently oversharing or misusing business-critical information.

This session will take you through the steps to achieve better data governance, discovery, and how to ensure data remains classified and secured from source to report or dashboard.

The new Azure Purview and Power BI integration makes it possible to govern your data, categorise and catalogue.

Key discussion points will include:

  • What is data governance and why is it important?
  • An introduction to Azure Purview
  • Data lineage within Power BI and Azure Purview
  • Broader implications for data discovery and governing your data estate

Watch this session to reduce your data risk without losing the benefits of Power BI.


Key Topics

2:50 – PPT model
3:30 – Do I really need data governance?
6:00 – Governance vs. system oversight
7:10 – Governance on Power BI
7:57 – Dataset Workspaces
9:31 – Report workspaces
11:03 – Lineage within Power BI
13:48 – What is Azure Purview?
14:47 – Why Purview matters
16:17 – Example of change impact
23:26 – Setting up Purview with Power BI
24:49 – Content ownership and management
26:27 – Business led self service BI
28:03 – Enterprise BI
29:03 – Managed self-service BI
31:33 – When to introduce governance
35:48 – Q&A


Where to from here?

To learn more about Power BI, please speak to your Data#3 Account Manager, visit our Power BI page or get in touch with us today.

This is webinar 2 of a 4-part series. Find the rest of the series below:

1. Data, Analytics and Visualisation with Power BI
2. Improve data governance and speed up discovery with Azure Purview and Power BI
3. How to get started with machine learning and Power BI
4. Tools and a data framework to modernise and migrate your data to Azure

Tags: Azure Purview, Data, Data & Analytics, Microsoft, Microsoft Power BI, Power BI



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