We performed a comparison between SAP BusinessObjects Business Intelligence Platform and SAS Visual Analytics based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."SAP BusinessObjects Business Intelligence Platform is definitely scalable."
"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."
"We find that we can scale it as needed."
"Enables us to present data with Smart Objects that can be embedded within presentations and which automatically update when the presentations are run."
"It is more user-friendly and easier to work with the report creation part, creating reports out of an established universe. Maybe a business person could liberate the existing universe and create a report on top of it, as well. So that's one cool feature."
"The most valuable feature we have found to be the SAP BW, which is a warehouse tool. Additionally, it is an easy tool to use."
"We use it to identify critical KPIs to senior management."
"Reporting from SAP Business Objects Web Intelligence is amazing, and gives users the ability to quickly access data from existing universes and/or relevant data sources, without the need to involve a functional business analyst or financial analyst."
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"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"Great for handling complex data models."
"It's relatively simple to create basic dashboards and reports."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"It integrates well with SAS, making it simple and quick for developers."
"It provided the capability to visualize a bunch of data in an organized way."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"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."
"The admin features for disk space management need work. It's very difficult to manage the disk space by the application; good admin features and not included to allow you to do that. I don't believe that is in the latest version of the product either."
"SAP BusinessObjects Business Intelligence Platform should be made easier for the end-users and the performance could be improved."
"Recently, it's become less stable if I am working on Citrix."
"The UI could be updated a bit."
"This product could be improved with Cloud Integrations and Predictive Analytics functions integration."
"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."
"Currently, we can use Explore to do data discovering, but cannot generate charts."
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"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
"The licensing ends up being more expensive than other options."
"Colours used on report objects"
"SAS Visual Analytics could be more user-friendly."
"The solution is a little weak at the front end."
"The solution should improve its graphics."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
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SAP BusinessObjects Business Intelligence Platform is ranked 6th in BI (Business Intelligence) Tools with 102 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 35 reviews. SAP BusinessObjects Business Intelligence Platform is rated 7.8, while SAS Visual Analytics is rated 8.0. 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". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". SAP BusinessObjects Business Intelligence Platform is most compared with SAP Analytics Cloud, Microsoft Power BI, Oracle OBIEE, IBM Cognos and Angles Professional, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks and Microsoft Azure Machine Learning Studio. See our SAP BusinessObjects Business Intelligence Platform vs. SAS Visual Analytics report.
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Thank you everyone for your very helpful comments and expertise! We own BOBJ Lumira and will be researching more about Predictive Analytics features that it claims to offer. We will be doing more thorough analysis of business requirements and prototypes to make the decision.
Even though I am not an expert (and really know very little ) in SAS and SAP BOBJ, I wanted to give you a reply.
From my experience, if you are big on SAP BOBJ an BW, I would keep that and complement with an analytics db, built for the purpose of predictive models.
It is difficult to have one solution that will satisfy everyone, or a single product that excels at everything.
To replace BOBJ/BW with a new solution would be a very risky project, time and cost consuming, lots of expectations. Moreover, there will be enemies around trying to boicot the project. I would foster a new initiative to build an analytical repository, with the best tools to support a business initiative, and the results from that repository I would bring to your BI/Reporting solution (BOBJ).
Hope my comments are of any help to you.
Best regards
Marco
I agree with Director461.
Elisabete Miranda
Comparing SAS VA to SAP BOBJ is like apples and oranges, these products are from different categories, although there is indeed some overlap. SAP BOBJ is a classic enterprise BI platform whereas SAS VA is a specialty product for advanced analytics and data visualization. The products are actually complimentary, much like traditional SAS which often co-exists with enterprise BI tools.
So it all depends on your requirements as well as user expertise. If you need reporting, OLAP and dashboarding then you need SAP BOBJ or a similar platform like MicroStrategy (which we use). If you’re targeting professional data analysts that need to conduct sophisticated modeling and build fancy visualizations then you need SAS VA.
That is correct, SAS offers statistical and predictive analytics, more tuned for individual data scientist as a desktop user.
BOBJ on the other hand is well tuned for ad hoc and operational reporting, geared for IT to design and publish such reports for business users to consume.
Tool selection is very dependent on your business requirements and the audience. If your business users are not statistical function savvy and do not see value yet to make business decisions based on predictive and statistical models, SAS may not be the right tool for now.
Tool adoption is key for the success of a BI implementation.
Good luck and let me know if you need deeper understanding on tool selection.
Krish.
"We are considering SAS VA on top of HADOOP YARN platform. "
I think that would be an interesting combination. I hear HADOOP all the
time in the BI world. I have some experience in Cassandra but not HADOOP.
"What does SAS VA offer that BOBJ would not, and how can we build a
business case around SAS VA specifically?"
SAS is the market leader in BI market and specifically strong in analytic
area as you have already stated. The second area I would look at is the
data model which is the bridge between data store and analytic tools: how
efficient to construct flexible data models to plug to the algorithms,
third the performance of data retrieval which is significantly important in
production stage.
"Based on what I read so far, SAS VA offers a lot more capability in terms
of statistical analytics, predictive analytics and optimization – something
that BOBJ does not appear to have. Does that seem to be the main
differentiating factor?"
I don't have experience in SAS VA, therefore I cannot comment on it. IMHO,
algorithms are easy to add to a product suite, what makes the major factor
is how smooth and easy to flow data to the algorithms (data model).
Another part I would look at is the presentation layer, how easy report can
be created and intuitive to the business user to create report by
themselves.
I believe SAP VA have their own data storage, the comparison of data
storage should be consider as well such as scale out, efficiency... etc.
Regards,
Ray
People going to SAS must ask themselves first do they have any data scientists to implement the software. It is a leader in the Gartner magic quadrant for statistics for good reasons but to utilise its capacities you must have the appropriate staff to implement it.
You cannot compare SAS to BOBJ in reality as they are diiferent Tools. Indeed SAP now have their own statistic software called SAP Predictive Analysis which now competes directly against SAS. This Tool which came from the KXEN purchase, whilst not as mature as SAS at present offers quicker modelling capabitilities meaning it will be easy apply the solution and you do not have to have the specific thoroughbread data scientists in house.
As you are already a SAP Customer you should contact them for further information.
SAP BW are HADOOPS are of course extremely different beasts
Hi
SAS VA is a data discovery tool where business users can primarily do lightweight data mining activites on their own with the help of IT. Be sure that you have placed it right. It s counterpart in the BO world is Lumira which doesnt belong to BO BI Suite, thus paid extra.
We made a data discovery tool evaluation last year, Spotfire came to my mind at first as a DD tool with broad data mining capabilities. Have you evaluated it?
Can the tool seemlessly integrate to your hadoop Platform and perform well?
What are the data mining capabilities needed, who is going to to that business or IT/BI?
What are the front end capabilities, can the (business )users create reasonable dashboards on their own and publish them?
POC passed?
Those are the questions came to my mind
thanks,
Emre