We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"We have a premium Power BI license in-house that's quite an expensive license. It's $10 a month for four users and then I think 35,000 at the premium rate."
"It is somewhere in the middle in terms of price. Licensing is quite clear."
"Its cost seems to be unreasonable if you have many users, but for a lesser number of users, it is reasonable. It is $10 per month. Clients easily accept this option, so they must think it is reasonable. It is quite cheap as compared to other tools, such as Tableau. One of the best things about this solution is that it has a trial version."
"Once the trial period for the BI service is over, the cost is approximately $10 USD per user, per month, so it's quite reasonable."
"The pricing is very reasonable compared to any other tool."
"Microsoft BI is not very cheap. A premium license costs roughly 5,000 euros a month."
"This product offers good value for the money."
"Microsoft BI is free for the personal edition, but there is also a paid-for professional version."
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Microsoft BI is a business intelligence solution that turns data into insightful and useful business information that is relevant to all levels of the business.
Microsoft BI combines familiar Microsoft tools - Office, SharePoint, and SQL server, with extra features for end-users, such as Power View and Power Pivot. This powerful product gives businesses a competitive advantage by allowing end-users to better analyze their data, collaborate and better present their data.
Data is the most abundant and precious resource in an enterprise. It comes in all forms and is complex to merge, relate and analyze. Data analytics extract meaning from that data for business gain or productivity, often sharing those insights through analytics dashboards or analytics reports.
With organizations generating billions of terabytes of data a year, big data analytics techniques are the only way to understand and uncover value from today’s scale of data.
The best big data analytics tools must be able to process both structured and unstructured data such as text, documents, emails and other data stored in enterprise information management systems. They go further than reporting on historic performance, enabling companies to prescribe better actions through predictive analytics. These data analysis tools are often referred to as advanced analytics solutions, such as OpenText™ Magellan Analytics Suite, and are quickly becoming the preferred choice for enterprise analytics.
Microsoft BI is ranked 1st in Business Intelligence (BI) Tools with 109 reviews while OpenText Magellan BI & Reporting is ranked 31st in Business Intelligence (BI) Tools. Microsoft BI is rated 8.2, while OpenText Magellan BI & Reporting is rated 0.0. The top reviewer of Microsoft BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". On the other hand, Microsoft BI is most compared with Tableau, Oracle OBIEE, SAP BusinessObjects Business Intelligence Platform, MicroStrategy and IBM Cognos, whereas OpenText Magellan BI & Reporting is most compared with Tableau, Qlik Sense, Splunk and Board.
We monitor all Business Intelligence (BI) Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.