Article

Power BI Premium: Expect higher capacity, simpler licensing, private cloud (or on-prem), at a premium price

by Dann Anthony Maurno
Assistant Editor, MSDW

Microsoft announced last week that it will launch Power BI Premium (generally available later in Q2), with the goal of better addressing enterprise-level BI consumption and distribution.

As Microsoft General Manager Kamal Hathi described, Power BI Premium builds on the familiar Power BI portfolio with a capacity-based licensing model aimed at large-scale deployments; also aimed at economizing for a mix of users.

Power BI Premium advances how Power BI content is embedded in apps created by customers, partners and the broad developer community. The application converges Power BI Embedded with the Power BI service for "one API surface, a consistent set of capabilities and access to the latest features." Microsoft encourages those interested in embedding Power BI in their apps to start their journeys with Power BI Desktop, then move to deployment with Power BI Premium. (Existing apps built on Power BI Embedded will continue to be supported.)

Dynamics 365 CRM and ERP apps, as well as GP and NAV, use Power BI capabilities much like other apps would. To understand if Power BI Premium would have any impact on how the solutions would work together, we reached out to Microsoft. They told us:

"The introduction of Power BI Premium doesn't impact the integration between Power BI and D365 in terms of the way Power BI capabilities are embedded in the Dynamics apps."

According to a Power BI calculator (which provides non-binding estimates, not actual quotes), a 5,000-user organization might expect to pay about $14,985 per month for Power BI Premium with the following assumptions:

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About Dann Anthony Maurno

Dann Anthony Maurno is a seasoned business journalist who began his career as International Marketing Manager with Lilly Software, then moved on as a freelancer to write for such prestigious clients as CFO Magazine; Compliance Week;Manufacturing Business Technology; Decision Resources, Inc.; The Economist Intelligence Unit; and corporate clients such as Iron Mountain, Microsoft and SAP. He is the co-author of Thin Air: How Wireless Technology Supports Lean Initiatives(CRC/Productivity Press, 2010).

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