BUSINESS INSIGHTS

Jul 23, 2015

What the Pyramid Analytics Partnership Means for Power BI

Melissa Coates Posted by Melissa Coates

This week a new partnership was announced between Microsoft and Pyramid Analytics, a software development company with products to complement Microsoft BI offerings. At this stage, there are two main takeaways:

1. On-Premises Delivery of Power BI Desktop Reports

Previously, the only way to share reports created with Power BI Desktop (outside of the file system) was via the web-based Power BI service. Cloud-based services like Power BI are not yet an option, or a preference, for some organizations.

This new ability to publish Power BI Desktop reports to Pyramid Analytics Server will be a welcome option for those organizations who require an on-premises (or private cloud) collaboration area. This is particularly a big perk for those organizations with an existing investment in Pyramid Analytics.

 

What the Pyramid Analytics Partnership means

 

2. New Integration Point for Power BI

Power BI has been evolving this past year with numerous integration points. So far that has typically meant options for getting data into Power BI, including the various SaaS connectors, Azure integration, and APIs. With the Pyramid Analytics partnership, the first option for integration out of Power BI and into a third party system has emerged. We are going to see Power BI continue to expand integration points with Cortana Analytics Suite and, in all likelihood, additional partner companies.

The capability to save a Power BI Desktop file to Pyramid Analytics Server will become enabled on July 24, the same day that Power BI V2 exits preview status and becomes generally available.

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Melissa Coates

About The Author

Melissa Coates

Melissa is a Principal Architect with BlueGranite. Her main focus is on client project delivery of data management and analytics solutions. Melissa is a Data Platform MVP and volunteers with the Charlotte BI Group in North Carolina. To learn more about BI, data warehousing, and data lake development, please also visit Melissa’s personal blog at www.sqlchick.com.

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