Birst vs Microsoft Power BI
Last updated: December 02, 2015
Infor Birst is the only Enterprise BI platform born in the cloud. Find out why more than a thousand businesses rely on Birst for Enterprise BI. Learn to think fast. Enterprise-caliber BI delivers accurate, actionable content in an intuitive, self-service business intelligence environment. It allows users to combine data from different source systems in a single BI platform to get answers to their most pressing business concerns in real time. And, when the questions change, it adapts quickly to the new request.
Power BI transforms your company's data into rich visuals for you to collect and organize so you can focus on what matters to you. Stay in the know, spot trends as they happen, and push your business further.
Birst vs Microsoft Power BI in our news:
2015. Microsoft integrates Cortana into Power BI service
Microsoft announced that Cortana personal assistant is coming to Power BI, its business intelligence tool that, it’s worth noting, already had some natural language query capabilities. Once connected, Cortana can now answer questions from your Power BI data sets for written and spoken queries like “revenue for the last quarter” or draw you a chart for the “number of opportunities by team.” Users have to ensure that Cortana has access to their Power BI data sets by enabling this new feature in Power BI. With Cortana Analytics, Microsoft also currently offers a more bespoke solution for enterprises that focuses less on the Cortana client and more on the machine learning and automation services that power Cortana.
2015. Cloud business intelligence service Birst raises $65M
Birst, a cloud-based business intelligence (BI) platform, has raised another $65 million in funding. The problem that a company Birst is tackling is the fact that businesses are collecting a mass of information electronically that, looked at intelligently, could help them make better strategic decisions. While there have been companies like IBM and others offering business intelligence solutions for some time now, the problem is that many legacy offerings are on-premise and are not able to cope with newer forms of data, let alone use newer algorithms to extract information, or the fact that these days it may be as likely that a person on the business side wants direct access to this information, bypassing heavy lifting from a data analytics team.