SAP Predictive Analytics vs. SAS Enterprise Guide

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAP Predictive Analytics
Score 9.0 out of 10
N/A
SAP Predictive Analytics is, as the name would suggest, a statistical analysis and data mining platform that can be deployed with SAP HANA.N/A
SAS Enterprise Guide
Score 8.0 out of 10
N/A
SAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.N/A
Pricing
SAP Predictive AnalyticsSAS Enterprise Guide
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SAP Predictive AnalyticsSAS Enterprise Guide
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
SAP Predictive AnalyticsSAS Enterprise Guide
Best Alternatives
SAP Predictive AnalyticsSAS Enterprise Guide
Small Businesses
IBM SPSS Statistics
IBM SPSS Statistics
Score 7.8 out of 10
IBM SPSS Statistics
IBM SPSS Statistics
Score 7.8 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
SAP Predictive AnalyticsSAS Enterprise Guide
Likelihood to Recommend
9.0
(0 ratings)
5.3
(0 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(0 ratings)
Usability
6.0
(0 ratings)
5.0
(0 ratings)
Support Rating
7.0
(0 ratings)
5.3
(0 ratings)
Implementation Rating
-
(0 ratings)
7.0
(0 ratings)
User Testimonials
SAP Predictive AnalyticsSAS Enterprise Guide
Likelihood to Recommend
When you don't have much data science skills or when you need to build something quick, you can get started really fast with SAP Predictive Analytics. There are scenarios, like the ones covered by a neural network, where SAP Predictive Analytics is not well suited, but the big question is usually: "do you really need a neural network to address this use case?"
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For writing out longer code creation for shaping data on complicated reports, the clean UI is helpful. If exploring data though, SAS Studio would be better suited given its easier interface for GUI graph building.
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Pros
  • Ability to use built-in algorithms or expand using R. This means that (with training) casual users can take advantage but also data analysts can do their thing!
  • Integration and consistency with Lumira. Even Lumira on its own has a quick 'predict' functionality (although limited/black box)
  • Ability to do the analysis and then present visually using the Lumira visualization capabilities
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  • It can load a huge amount of data as compared to R Studio and Excel.
  • Data processing speed is very fast, millions of records are loaded into this software very easily and data manipulation is also very easy.
  • Inbuilt Statistical functions and procedures make it very comfortable to use for non analytics professionals as well.
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Cons
  • The "User Experience" is sometimes lacking some clear basic things. Maybe a migration to a cloud-based environment will help bridge that gap.
  • API is probably the next item on my list. The existing one is not easy to access or use which limits the integration capabilities.
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  • I would like to see advance interactions with external databases to be able to kill ongoing queries from SAS. As of now, you can stop pretty much any ongoing process besides the one running on a remote database (killing SAS/EG doesn't stop the remote process)
  • When creating prompts for programs, it would be nice to be able to have conditional prompts (based on the selection of other prompts). The prompts are clearly a recent feature and constantly under development but I wish it would be more powerful.
  • More of a SAS metadata issue but when loading SAS/EG (first connection to the server), it takes a few seconds which feels like a long time. I really don't understand why the initialization of the session can take so long. Don't get me wrong, this has no real impact on productivity but that 10s delay just feels really like eternity when you want to run some code in a new session.
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Likelihood to Renew
No answers on this topic
On account of current user experience and the organization-wide acceptance.
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Usability
the UI is a bit dated and available as a desktop tool mostly.
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It's not all bad, but I don't believe that an enterprise purchase of SAS is worth the expense considering the widely available set of tools in the data analytics space at the moment. In my company, it's a good tool because others use it. Otherwise, I wouldn't purchase a new set of it because it doesn't have some of the better analytical functions in it.
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Support Rating
The documentation provides an explanation about what features are available but not necessarily what's happening behind the scenes. On the other side, the "community" has grown since the acquisition and most questions are properly addressed by SAP folks. Since the "product maintenance" mode announcement was made, there wasn't much new content published except on the Smart Predict side (which is built by the SAP Predictive Analytics team)
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Although I use SAS support for information on functions, these are SAS related and haven't really come across anything that is specifically for SAS EG.
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Implementation Rating
No answers on this topic
I've not worked hands-on with the implementation team, but there were no escalations barring a few hiccups in the deployment due to change in requirement & adoption to our company's remote servers.
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Alternatives Considered
We have typically used Spotfire for data analysis but decided to move to SAP Business Objects due to its innate connection with SAP. I found Lumira to be good for visualizations but it is not meant for data analysis. Therefore, we have introduced Predictive Analytics to see if it can fill that gap. So far, it's been far less intuitive than Spotfire to get started, and as far as I am aware so far, it does not bring many additional capabilities. I do, however, like that it utilizes the Lumira look/feel and integrates very well.
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Python-based platforms like Pandas or Spark are very good too at displaying data and do exploratory analysis. I definitely prefer them to SAS EG. It's just too slow, and doesn't let you peek into the data very easily. Lots of clicking, and I'd rather just write some code, rather do clicking.
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Return on Investment
  • Proper forecasting increases our credibility with partners and customers
  • Forecasting determines the amount of investment in each sector and reduces the cost of additional costs
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  • Faster decision making, through powerful big data handling functionalities.
  • Faster operations on daily basis, once the project tree is built, unskilled personnel can use it in their daily operation.
  • Don’t need to choose SAS EG if you are not going to be handling big data. (such as over 1 million rows and 50 columns)
  • You need skilled personnel to build the initial project tree.
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