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Power BI for Marketers

Power BI for Marketers

52mBeginner2018-08-13

Authors

Chris DallaVilla

Chris DallaVilla

Founder and CEO of VALID

Course details

Power BI—the powerful data analysis and visualization software from Microsoft—has quickly become a leader in the business intelligence space. As a marketer, you can leverage this tool to assess your marketing campaigns, identify consumer insights, and connect to data resources that your organization provides. In this course, Chris DallaVilla explains where and how to use Power BI to quickly and precisely assess your marketing efforts. Discover how to assess awareness and insights to improve performance, assess customer advocacy, publish content from Power BI Desktop and Power BI service, and more.

Learning objectives
Explain how to use a line chart to visualize brand lift for your markets.
Recognize the importance of modeling data when creating a visualization for campaign traction.
Recall the benefits of a stacked bar chart when analyzing conversion rates for lead generation efforts.
Determine how to increase the number of buckets that display data in a histogram chart.
Identify the benefits of a slicer.

Skills covered

Power BIBusiness IntelligenceData ScienceBusiness Analysis and StrategyMicrosoftOne-Off

Concepts

0. Introduction

  • 01 - Welcome
  • 02 - Fundamentals of Power BI

1. Analyzing Awareness

  • 03 - Analyzing marketing awareness
  • 04 - Demo 1 - Brand lift
  • 05 - Demo 2 - Campaign traction

2. Analyzing Engagement

  • 06 - Analyzing consideration engagement
  • 07 - Demo 1 - Lead generation
  • 08 - Demo 2 - Reach and frequency

3. Analyzing Customer Satisfaction

  • 09 - Analyzing active customer engagement
  • 10 - Demo 1 - Conversion analysis
  • 11 - Demo 2 - Analyzing reputation

4. Analyzing Advocacy

  • 12 - Analyzing customer advocacy
  • 13 - Demo 1 - Identifying true fans
  • 14 - Demo 2 - Customer content

5. Distribution and Collaboration

  • 15 - Publishing content from Power BI Desktop
  • 16 - Publishing content from Power BI service

Conclusion

  • 17 - Next steps

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