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.
"Microsoft B's beneficial features are that it is a Microsoft product and it is well known by the staff here in the company. It suited the available skills."
"The Microsoft Power BI app is very good. It's also very flexible."
"The reports are easy to create."
"The most valuable feature would be the abundance of connectors. It is also easy to use."
"Ability to extract data from a variety of sources and systems."
"The most valuable features of Microsoft BI are the variety of possibilities to connect to various data sources. The visualizations are easily done, have useful rollover functions, and there are continuous updates being made to the system. You can benefit from the various improvements."
"What I like most is that I can do everything in Power BI that I can do in Excel."
"Helped identify bad data, enabling the corrections needed to the data for management."
"It can process big volumes of data fast."
"SAP BusinessObjects Business Intelligence Platform is definitely scalable."
"The feature that allows pivot users to create the report dashboards and run them when they want with a lot of flexibility with the drill-downs is very useful. The drill-down features are very good because, in other solutions, such as Excel, you have to create separate pivot tables and a lot of other operations to do drill-downs. SAP BusinessObjects Business Intelligence Platform tool does the drill-downs automatically. Overall the solution is user-friendly and has a lot of drag and drop features."
"The common metadata environment means that the entire organisation has the same definition of core measures rather than these being derived in spreadsheets or specific reports."
"One of the most valuable features of SAP BusinessObjects is that it's not a dashboarding solution. It's a real product. You can create operational reports and publish it to anyone. You can create schedules. You can create a Universe, semantic layers. There's also a security configuration. It's a huge product, so if there is a business need, SAP BusinessObjects can cover it."
"Has features that can be leveraged to scale out and scale up."
"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."
"Ease of report development is a key feature."
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"SSMS & SSRS."
"I would like to be able to use more predicting data science features without having to use R."
"There are some connector-related issues in their MSBA solution."
"I think that the solution is harder to use for people who are not experts in data."
"The orchestration module for refreshing data flows is something that is missing and we have to do it manually."
"I have found using Microsoft BI is not easy. For example, trying to use the auto-refresh feature is not simple."
"The solution doesn't integrate well with third-party tools."
"I would like to see integration with Excel."
"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."
"SAP BusinessObjects Business Intelligence Platform has to be improved performance-wise. The look and feel of this application, its scalability, setup, and technical support also need improvement."
"It could be a lighter solution."
"The platform should be a bit more user-friendly."
"When we implemented BusinessObjects, the setup was straightforward. After SAP bought BusinessObjects, it gradually became more and more stepwise. There are too many steps, and they take too much time."
"They could reduce the licensing expenses. There is nothing really wrong with the product in terms of what it does. It works well. If you are a part of BI Launch Pad, then you could run ad hoc reporting, but for the integration, you need access to BI Launch Pad, which is quite expensive. We're an organization with 18,000 employees. It is not really practical to give people access to BI Launch Pad. So, from a customer perspective, in terms of saturating our employee base, we don't really have great saturation because of the expense."
"The performance could be improved, like when we extract a large amount of data."
"Currently, we can use Explore to do data discovering, but cannot generate charts."
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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 103 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 Qlik Sense, whereas SAP BusinessObjects Business Intelligence Platform is most compared with SAP Analytics Cloud, Oracle OBIEE, IBM Cognos, Oracle Essbase 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...