Overview
What is Microsoft BI (MSBI)?
Microsoft BI is a business intelligence product used for data analysis and generating reports on server-based data. It features unlimited data analysis capacity with its reporting engine, SQL Server Reporting Services alongside ETL, master data management, and data cleansing.
Multiple tools in single package.
"Microsoft BI is a powerful analytic tool for large data sets."
In the world of data visualization, this is one of the best virtualization tools
"Easy To Use BI Platform With Effective Reporting"
Microsoft BI
Microsoft BI: The only data analysis tool you will ever need
MSBI - Bang for the Buck
A smart tool for data analysts to generate awesome reports
Excellent BI Stack for an all-in-one solution architecture, however may need specialized platforms for non-traditional datasets
Powerful tool for data visualization
Best when used by larger companies in a predominantly Microsoft environment
Microsoft PowerBI unleashes the power of your data
Microsoft BI the killer data analytics and visualization tool
Casual User’s POC
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Popular Features
- Report sharing and collaboration (49)8.989%
- Report Formatting Templates (47)8.989%
- Formatting capabilities (49)8.080%
- Customizable dashboards (49)8.080%
Reviewer Pros & Cons
Pricing
Power BI Pro
$9.99
Power BI Premium
4,995
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Features
BI Standard Reporting
Standard reporting means pre-built or canned reports available to users without having to create them.
- 9Pixel Perfect reports(42) Ratings
Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.
- 8Customizable dashboards(49) Ratings
Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.
- 8.9Report Formatting Templates(47) Ratings
Ad-hoc Reporting
Ad-Hoc Reports are reports built by the user to meet highly specific requirements.
- 8.9Drill-down analysis(44) Ratings
Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.
- 8Formatting capabilities(49) Ratings
Ability to format output e.g. conditional formatting, lines, headers, footers.
- 8.9Integration with R or other statistical packages(39) Ratings
Integration with the open-source R predictive modeling environment.
- 8.9Report sharing and collaboration(49) Ratings
Report sharing and collaboration is the ability to easily share reports with others.
Report Output and Scheduling
Ability to schedule and manager report output.
- 9Publish to Web(44) Ratings
- 9Publish to PDF(44) Ratings
- 8.9Report Versioning(40) Ratings
Report versioning is the assignment of version numbers to each version of a report to help in tracking.
- 8.9Report Delivery Scheduling(43) Ratings
Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.
- 8.9Delivery to Remote Servers(24) Ratings
Ability to deliver reports to remote servers
Data Discovery and Visualization
Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.
- 8.9Pre-built visualization formats (heatmaps, scatter plots etc.)(47) Ratings
Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.
- 8.9Location Analytics / Geographic Visualization(44) Ratings
Location analytics is the visualization of geographical or spatial data.
- 8.9Predictive Analytics(42) Ratings
Predictive Analytics is the ability to build forecasting models based on existing data sets.
- 9Pattern Recognition and Data Mining(1) Ratings
Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.
Access Control and Security
Access control means being able to determine who has access to which data.
- 8.9Multi-User Support (named login)(46) Ratings
Named model access means that users have access based on name and password.
- 8.9Role-Based Security Model(43) Ratings
Role-based access means that access to data is determined by job or position in the corporation.
- 8.9Multiple Access Permission Levels (Create, Read, Delete)(46) Ratings
Multiple access permission levels means that different levels of users have different rights.
- 9Report-Level Access Control(1) Ratings
Report-level access control means that the type of report determines who has access to it.
- 9Single Sign-On (SSO)(28) Ratings
Allows users to use one set of login credentials to access multiple applications
Mobile Capabilities
Support for mobile devices like smartphones and tablets.
- 8Responsive Design for Web Access(36) Ratings
Web design aimed at producing easy-to-read sites across a range of different devices.
- 8Mobile Application(27) Ratings
A dedicated app for iOS and/or Android.
- 9.9Dashboard / Report / Visualization Interactivity on Mobile(36) Ratings
In-app dashboard reports and data visualization.
Application Program Interfaces (APIs) / Embedding
APIs are a set of routines, protocols, and tools for used for embedding one application in another
- 8.9REST API(19) Ratings
REST is an architecture style for designing networked applications
- 8.9Javascript API(19) Ratings
A Javascript API is a type of API
- 8.9iFrames(18) Ratings
An iFrame is an HTML document embedded inside another HTML document on a website
- 8.9Java API(17) Ratings
A Java application programming interface (API) is a list of all classes that are part of the Java development kit (JDK)
- 8.9Themeable User Interface (UI)(18) Ratings
A themeable user interface means that a specific visual them can be applied to it
- 8Customizable Platform (Open Source)(17) Ratings
A customizable, open source API Gateway is a fast and scalable type of API
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is Microsoft BI (MSBI)?
The reporting engine is SQL Server Reporting Services which does not have the visualization capabilities of visualization tools like Tableau or Qlik. Excel has historically been the platform visualization tool. Power BI for Office 365 has done much to improve the discovery and visualization capabilities of Excel.
Microsoft now offers Power BI cloud as the visualization platform with geospatial 3D, natural-language query generation, and self-service ETL along with charting and other data visualizations that can be uploaded and shared through the Power BI service.
The Power BI platform also provides live access to on-premises Microsoft SQL Server instances, and self-service access to third-party cloud sources including Salesforce, Marketo, Zendesk, and GitHub. Mobility is supported through a native iPad app, an iPhone app.
This new platform is viewed by Microsoft as a visualization layer sitting on top of their earlier generation of installed SQL-based technology.
Microsoft BI (MSBI) Competitors
Microsoft BI (MSBI) Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Frequently Asked Questions
Comparisons
Compare with
Reviews and Ratings
(937)Attribute Ratings
- 8Likelihood to Renew25 ratings
- 9.5Availability2 ratings
- 7Performance2 ratings
- 8.9Usability14 ratings
- 8.9Support Rating15 ratings
- 8.5Online Training2 ratings
- 6.9In-Person Training3 ratings
- 9.6Implementation Rating7 ratings
- 10Configurability2 ratings
- 6.8Data Visualization10 ratings
- 8.4Data Sources42 ratings
- 8.5Data Sharing and Collaboration43 ratings
Reviews
(1-3 of 3)It's Excel for Big Data. So easy, so cheap, so fast, and powerful enough most everything.
Microsoft BI is a many-times-relabelled tool for visualization and lite analytics. It's like super duper Pivot Tables and Pivot Charts that let you work with big data. As an analytics tool per se, it's as good as Excel since it is Excel. I wouldn't do any analytics heavy lifting with it personally, but you can easily do algebra stuff and make derived variables. The real business benefit is visualization. It's just very easy and powerful.
- EASY visualization of business data. Excel is the killer app so anybody remotely good at basic office tools knows how to make PivotTables and PivotCharts. If you don't, it's really easy to learn; give it a try... People think big data visualization is hard but it's not for most business use cases.
- FAST visualization of business data. There are BI/Analytics tools out there, some of them beginning with the letter S, that are slooow. I do my taxes waiting for them to run basic queries/filters/charts. Microsoft BI (and Tableau, etc.) create compact data models to allow for pretty fast data loading and slicery.
- FREE or at least REALLY CHEAP visualization of business data. Who has MS Office on their business computer? Oh, everybody. If you don't have Office Pro, pony up for that or get the monthly license. The bigness of data you can run on your own machine is fairly big; don't use cloud if you don't need it. By comparison, who enjoys throwing thousands of dollars away on bloated legacy BI software? Well, too many companies, apparently.
- More than two dimensions. Yes, I know that 2D is the core of Excel's DNA. However, we're starting to deal with higher-dimensional arrays here in analytics land so better visualization support would be cool.
- UI weirdness. By default, you are flipping back between regular Excel tabs and super-top-secret BI tabs. You create charts in one place, but look at them in the other. That kind of stuff. I know there are a couple of other ways to interact with Microsoft BI, but please figure out the main way.
- Better hookups to other analytics tools including Microsoft's. Microsoft BI has a good variety of data connections, and I don't expect it to bloom into a full-fledged analytics tool, but it may be a good idea to keep hammering at connectivity with "hardcore" analytics. In my case, Python stuff.
Visualization of business data: it's good, fast, and cheap. What more can you ask? With more specialized visualization needs, use Tableau or write code. For complex scientific visualizations, write code.
It's also so much easier communicating about the tool and its visuals to other people who don't spend their lives analyzing complex data. "It's Excel for Big Data!" is really quite simple.
- Tableau Desktop, Google Analytics, Google Charts, SAP Crystal Reports, SAS Visual Analytics, SAS Analytics, QlikView and D3.js
- Programming packages. Free and powerful, they let you make any diagram, at the cost of difficulty of use.
- Specialist software like Tableau and Microsoft BI. This is the best choice in most cases due to ease of use and quality of output.
- More generic software offered by the big IT companies, often part of a BI suite. There's really a lot of variety here. Use this when it fits the workflow and you are already using the relevant software. But, personally, I'd still use the specialist software.
- Pixel Perfect reports
- 100%10.0
- Customizable dashboards
- 100%10.0
- Report Formatting Templates
- 100%10.0
- Drill-down analysis
- 80%8.0
- Formatting capabilities
- 60%6.0
- Integration with R or other statistical packages
- 50%5.0
- Report sharing and collaboration
- 100%10.0
- Publish to Web
- 60%6.0
- Publish to PDF
- 60%6.0
- Pre-built visualization formats (heatmaps, scatter plots etc.)
- 80%8.0
- Location Analytics / Geographic Visualization
- 70%7.0
- Predictive Analytics
- 20%2.0
- Multi-User Support (named login)
- 50%5.0
- Multiple Access Permission Levels (Create, Read, Delete)
- 50%5.0
- Familiarity. It's Excel. It's a spreadsheet. Come on.
- Thinking in matrices (PivotTables) takes a little getting used to, but it's not hard. For people without a good high school math background, it may seem unintuitive.
- Charts and PivotCharts are fairly easy, but Microsoft has a ways to go to make them less ugly.
- Data source connections. It's sometimes difficult to replace and update connections.
- Dropping certain types of fields into the Pivot Table (example: default aggregation type for values).
- The weird interface. Microsoft tried to have it both ways by using the standard Excel interface for some tasks, and the "Power" interface for others. It's just awkward, cumbersome, and confusing.
Microsoft Power BI - Excel Lovers Dream
- Ease of use: For end user Microsoft Power BI is incredibly easy to use. Excel is simple for most people. The presentation through SharePoint gives users with any medium the ability to instantly use the dashboards. End users are able to use mobile, local and just about anyway they would choose.
- High Adoption Rate: We had a very high adoption rate causing many of our users to be incredibly engaged. The adoption of is due to many users already familiar with the tools they grew up on. If you grew up on Excel, then you will instantly feel at home in the tools. The new add ons are rarely a challenge even for novice users.
- Mapping functions: The mapping functions are one of the cooler features. Power Maps automatically recognizes zip codes and other addresses much like other packages. The one item I really liked was the ability to create a movie file that would play over time showing the growth across a map through the different areas. Saved as a MP4 then blended with music made this function particularly delicious for many of our end users.
- The Gateway: MS has provided a really cool little trick. The Gateway. I will explain this part later in my review.
- On the occasion some of the plug ins run unusually slow. I don't know if it's because they run in Silver Light or what. :) The plug ins have locked up more than once (once a week). My installation got so slow that I had to actually reinstall a couple of times over the past year. Is this a show stopper? For me, it was not. There are other features that keep me glued in. The office repair utility makes the re install a snap and if you are a realistic Microsoft fan, then you almost come to expect it.
- The natural Language selection: We are a MS SQL house and we love MS. We have the skills for high end SQL statements with a full development staff but we still wanted to try the natural language selection tool. To no avail. We tried redoing the data and that did not work either. I'd call this beta still.
- I would like to see them improve their visualizations. They are Microsoft and can easily compete with some of the visualizations of Micro Strategy, Tableau and Domo. They simply choose not to.
There is a (not sure if beta or not) version of some of the power views that can be done in Power BI. These views when rendered locally are wonderful. When they are rendered from the web, they can take a little longer. The part that can be agonizing is the showing views through HTML5. This is almost unworkable when using power maps or maps through power view. The response is so jittery that it is almost unusable.
While my review may seem at times critical its the familiarity of the tools (Excel), ease of use, and price that make Microsoft BI the recommended tool for the small to medium size company looking for BI.
- Mapping: Power Maps and Power Views displayed as Maps are awesome. The drill down ability into those is one of my favorites of showing.
- The ability to add other plugins from the apps store can be very nice as well. There are several of those visualizations that are very nice.
- Dashboards can be very easy to create but what is elegant? There is a Power BI app for Windows 8 that was compelling enough run VMWARE inside of a Mac. Very slick presentation of the same data as online but not as slick can be.
- Understanding the license model. As an example we found it very hard figure out exactly what constitutes someone needing a license to even read file from SharePoint and not needing one. There were several occasions that we published what we thought was clean data and the end consumer would not need to have a license only to find out that the user would still be required to have a license. Sounds simple enough to understand but it was not.
- There are a few features that should translate all the way through Power BI from Excel. As an example Power BI can recognize types of data like Zip codes but even dates in Power View, Power Pivot are not able to be 'Grouped by" by qtr or month. If you are going to group on those you have to add it to the dbase. Yet, Excel will easily group on those in a normal pivot table.
- HTML5 versions of the presentation on the web have the jitters. very difficult to zoom in our out with any browser or versions of browsers. Stick with the regular version and wait for the HTML 5 version to be updated.
Dynamic = Not yet Ready. There is no native mobile client that I am aware of for Microsoft Power BI.
1. Creator of reports, Data Models, Views etc: Most Advanced users will still rate the usability as very high. Its capabilities are still robust. However when compared to other Enterprise Class products it will not do many of the advanced application queries.
2. End user, Consumer: All end users will feel right at home. Many will be able to create connections to already created data models and other external publicly available sources like twitter, Facebook, World Health order etc... These connections are then in turn very very easily available to publish to SharePoint and Power BI.
It took me a while to understand what I think is Microsoft's strategy. This will handle all but the most of robust needs. Much like many American made cars and my favorite Corvette, Microsoft is fast, has it own break downs from time to time but all of these are really to tolerate when the price is considered and the next one up that can out perform it is three to four times as much money makes this an easy one to still recommend.
Review by a Microsoft BI consultant
- Low cost and easy to learn and use
- Microsoft user community is very wide and its easy to identify resources to implement the solution in Microsoft technology
- With the introduction of Self service (in-memory) platform - Office 365 (Powerpivot, Power view, Power maps and Power query) helps end users do their own ad-hoc reports using these easy to learn and implement tools
- Parallel data warehouse (with polybase connector to connect to hadoop) will be a suitable replacement for expensive enterprise database tools like Teradata and Oracle
- Power Pivot is a very good tool to do self service BI but there is no direct way to implement row based security to the model. There has to be a mechanism where the owner of the book can lock the model within the book to be read only or hide the model so that other users will only see the reports and not the underlying data model
- Many to many functionality is simple in multi dimensional cubes but there is no direct and efficient way available in SSAS Tabular model and Power Pivot
- Even though Power Pivot is a easy to use and fast to implement BI solution, without proper training, end users can't utilize all the functionality of Power Pivot and common mistakes and misunderstandings will be expensive in long run
- Business users easily learned self service BI with training and what to do and what not to do with self service BI
- Learning curve for Powerpivot and other office 365 tools for IT team who already knew about data warehousing concepts is steep
- Professional services company
Its based on subject area and the requirement of the business users
- Transitioning to a new tool - From SSRS reports (with sql server tables as source) to power view and power maps (using SSAS cubes)
- Integrating various data sources in power pivot
- Data cleansing and data mashups in Power query
- Easy visualizations in Power view
- From an end user perspective, writing complex measures and debugging the errors in power pivot data refresh when excel source(with vlookups) is used