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Duration59 minutes
DateOct 03, 2018
Speakers
Chandler Stevens Vice President- Microsoft BI & Analytics
Jason Lacoff BI & Data Analyst
Sakthi Vijay Balu BI & Data Analyst
Short Description

This webinar is designed to provide guidance for how best to implement a self-service analytics implementation utilizing Microsoft’s cloud data platform, where we also cover the best practices across data ingestion, storage, modeling and configuring visualizations for broad consumption across the organization.

Enabling a self-service analytics program can be fraught with technical implementation challenges and falling short of end-user expectations. This webinar recording is designed to provide guidance for how best to implement self-service analytics utilizing Microsoft’s cloud data platform.

Also learn more about best practices across data ingestion, storage, modeling and configuring visualizations for broad consumption across the organization.

Watch this webinar recording to learn:

  • How you can achieve a sustainable self-service analytics program
  • Avoiding common implementation challenges and pitfalls
  • Best practices for a self-service analytics implementation utilizing Microsoft’s Cloud Data Platform
  • Live demonstrations of building and delivering a self-service analytics program with Microsoft Azure and Power BI

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