Data, Analytics and Visualisation with Power BI

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

During this session, you will learn how to empower employees and optimise licensing with Power BI.

Power BI is Microsoft’s self-service business intelligence (BI) tool that brings powerful data analytics to all of your employees. Continuous improvements in AI and additional integrations and connectors has made it the BI Leader in the 2021 Magic Quadrant for Analytics and BI Platforms for the 14th year in a row.

In this session, we highlight how Power BI is widely used by organisations, demonstrate best practices for user adoption and licensing and the various options you have with data visualisation and data modelling.

Our presenters discuss often overlooked aspects of business intelligence and share considerations for data modernisation, data warehousing, data governance and security.

Key discussion points include:

  • Understand why Power BI is so powerful
  • How to use and license Power BI
  • The different options and scenarios
  • Considerations beyond the tool – data modernisation, data warehousing, data governance and adoption/training

Watch this session to get the most out of your Power BI deployment and keep your data safe.


Key Topics

3:08 – What is Power BI?
4:17 – Why use Power BI?
6:29 – What can you do with Power BI?
10:08 – Design
12:33 – Take-aways
16:27 – Where is Power BI?
18:27 – Deployment – Power BI Online
21:27 – Common scenarios
24:51 – How to license
34:20 – Business objectives and roadmap
43:04 – Special offer


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 1 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: Data, Data & Analytics, Microsoft, Microsoft Power BI



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