We performed a comparison between Microsoft BI and SAP BusinessObjects Business Intelligence Platform based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Microsoft BI comes out on top in this comparison. It is reliable and easy to use. In addition, when compared with SAP BusinessObjects, it is easier to set up, less expensive, and has better customer support.
"The stability is good."
"We found the initial setup to be straightforward."
"There are some great automation elements in the product."
"The initial setup is simple to do."
"The most useful features are the ability to connect different databases to Microsoft BI and explore them. Once the database information has been extracted, you have the ability to construct indicators and dashboards from the information."
"My primary use is for view of the dashboard."
"The most interesting feature of Microsoft Power BI is that it's very user-friendly."
"It's a powerful platform."
"The solution is stable."
"It is solid and stable."
"I like the fact that we can integrate it seamlessly within our Epic environment, but probably the best thing that Crystal Reports offers is the ability to do visualizations. They're simple to do, and they're catchy. So, it is a really great tool."
"It provides flexibility for creating reports. It is very good for creating highly-complex reports. I like this solution because when I buy BusinessObjects, it comes with many components, such as reporting, dashboard, and data visualization tools. Its performance is good. It is running on top of SAP BW and SAP HANA."
"Enables us to present data with Smart Objects that can be embedded within presentations and which automatically update when the presentations are run."
"We are using SAP BusinessObjects because its scheduling capabilities are more powerful than those of other tools."
"Through the use of Business Intelligence reporting and scheduling features, reports are generated and automatically sent according to a schedule. This has freed up countless hours spent performing the same tasks, month over month."
"Has features that can be leveraged to scale out and scale up."
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"Its desktop tool is a little bit memory CPU intensive, and it can be improved, but the machines nowadays come with a lot of memory. For the desktop users who are using it on the desktop, we recommend that they do an upgrade. It is a minor issue. We can fix it on the desktop."
"The solution's documentation needs improvement."
"When it comes to improvement, I would say there could be more tutorials for students in universities who are just learning it. And it wouldn't have to be just for students in universities. It might also be for the people who use it in the real world."
"We need more integration capabilities."
"I think that they can add more types of charts because the selection on the desktop version is limited."
"It should be more scalable for an enterprise-level implementation. When you deploy large data sets, the response has to be faster in Power BI. This is one thing that needs to be improved in it."
"Integration with products that are not Microsoft could be more improved."
"I think that the product would benefit by increasing the range of visuals and graphics readily available, as opposed to using a third party included as part of the product."
"We're an Epic shop, and Epic is moving away from Crystal. It would be nice if it had tighter integration with products like Epic. It would be awesome to have better integration with third-party products."
"The combination of Lumira along with Design Studio merger last year still needs development from a visualization standpoint."
"The user interface should be easier to use and navigate."
"Currently, we can use Explore to do data discovering, but cannot generate charts."
"The financial area in the solution has certain shortcomings that need improvement."
"There is room for improvement in providing more user-friendly and versatile reporting options."
"We would like to see a native version of BusinessObjects and Web Intelligence created for the cloud."
"I don't like the fact that I have to use two tools. Web Intelligence is good for reporting and all kinds of stuff, but I would rather have one product. All the reporting features of Web Intelligence should be developed within Lumira. A lot of predictive abilities have been brought into the cloud version of SAP Analytics. It would be nice to see a lot of newer technologies and AI. Predictive capabilities are becoming a little more standard. Instead of having to get another model, we are just looking for one solution to deal with analytics including predictive."
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Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews while SAP BusinessObjects Business Intelligence Platform is ranked 6th in BI (Business Intelligence) Tools with 102 reviews. Microsoft Power BI is rated 8.0, while SAP BusinessObjects Business Intelligence Platform is rated 7.8. The top reviewer of Microsoft Power 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, the top reviewer of SAP BusinessObjects Business Intelligence Platform writes "Web intelligence will work with any amount of data even if you have 10 million rows". Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Salesforce Einstein Analytics, whereas SAP BusinessObjects Business Intelligence Platform is most compared with SAP Analytics Cloud, Oracle OBIEE, IBM Cognos, MicroStrategy and Looker. See our Microsoft Power BI vs. SAP BusinessObjects Business Intelligence Platform report.
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All the traditional BI platforms including Business Objects and Microsoft Reporting services and Analysis services require IT involvement almost at every step in preparing the data and report.
Self serve BI is the promise to these business analysts without technology background. However following characteristics are a must to meet the self serve BI dream.
- BI tool should be capable of reading data from its source without a dependency on ETL or a warehouse.
- While a dimensional model gives most flexibility for ad hoc data analysis, it brings a overhead of consistent modeling mindset requiring very technical background.
- Ability to convert grid data into visualization and vice versa with few clicks
- Ability to mashup multiple analysis from multiple sources on to a single screen.
- Finally a framework that let's end users seamlessly build their analysis while IT can throttle, govern, audit and scale end user data needs with a great amount of automation behind the scenes as a continuous process as opposed to be a pre process.
Two such platforms I have come across are
1) Tableau
2) CarbonBI
These solutions seem good for Visualizations. I like Pentaho personally. Wondering why the this suggestion hasn't been made??
Sap business objects can provide a sophisticated self service solution that is very easy for the end users to engage with for both ad hoc analysis and report writing and distribution. However as with all Bi solutions the back end data warehouse must be designed intelligently and business objects universes configured correctly. The same thing really applies no matter what toolset you select. If you already have business objects then it makes sense to ask IT to set it up as a self service solution rather than look for another technology. If IT do not have the skills then look for a good consultant to perform a review of your BI solution and make recommendations.
Nick,
Good comments similar to the points I was making. I think that it is still
important to consider how much data you expect to be dealing with, the
tool's analytical architecture (ROLAP or MOLAP), the sophistication of your
analyst end users, and how complex your reports are likely to be. If you
or the analysts expect that solution development is going to be in the
hands of the analyst, then the tool needs to be relatively easy to learn.
On the last point, if you expect a lot of slicing-and-dicing you need an
architecture that will support the high indexing load. Anyway, success and
use acceptance is not just a question of apparent simplicity and seemingly
low cost.
regards,
Keith Breedlove
Polyglot Analytics, LLC
Groveland, FL
I suggest Power Data, the new Microsoft develop.
Try Tableau.
I would suggest looking at Tableau for requirements of self-service nature. The success factor for a self service tool depends on the ease-of-use for the end-user who is less proficient in IT skills and the range of tasks it allows the end user to accomplish. Tableau scores highly on both these parameters. Backed by a well designed data mart, Tableau can be the solution that pretty much allows the end user to replace the need for IT. It has excellent training materials available in one-click and many forums where people are ready share their cool experiences. Developing a report in Tableau for me was more like playing a video game, a throughly enjoyable experience to get to a cool end-product. You want the end-users to cherish the process of creation and Tableau does that with ease.
I would focus on Tableau and MicroStrategy (we went with MSTR several years ago to supplant BO), although QlickView has its proponents for ease of use...