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SAS Enterprise Guide

SAS Enterprise Guide


What is SAS Enterprise Guide?

SAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.

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Recent Reviews

TrustRadius Insights

SAS Enterprise Guide is a versatile software that is widely used across various departments within organizations. Users appreciate its …
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SAS EG Review

7 out of 10
December 18, 2019
We use SAS EG in the Business Intelligence and Research Departments for creating ad hoc and ongoing data shaping for reports. Mostly these …
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10 out of 10
April 01, 2019
For now, Business Intelligence Analysts use it for writing SAS codes and more recently, we're able to schedule, run, and keep a version …
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What is SAS Enterprise Guide?

SAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.

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Product Details

What is SAS Enterprise Guide?

SAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.

SAS Enterprise Guide Technical Details

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Reviews and Ratings


Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

SAS Enterprise Guide is a versatile software that is widely used across various departments within organizations. Users appreciate its ease of use and quick learning curve, making it accessible to both beginners and experienced analysts. With this software, users can conduct data statistics and data quality verification, query databases, forecast future trends, and visualize data in a meaningful way. It empowers users to perform advanced analytics tasks, particularly those who are more familiar with spreadsheet-type work.

The application of SAS Enterprise Guide extends beyond basic analytics and is commonly utilized in different domains such as Credit Risk Analytics within Wholesale Banking. Here, it helps with model validation and analytics queries. Furthermore, users rely on the software for statistical analysis such as ANOVA, univariate, and regressions for model development. Across multiple business units like marketing, HR, and risk, SAS Enterprise Guide aids in data preparation, ad-hoc queries, and data exploration.

One notable feature highly valued by users is the ability to schedule, run, and keep a version history of processes from a SharePoint site. This functionality ensures the reproducibility of analyses and offers a convenient way to track progress over time. Additionally, SAS Enterprise Guide excels at data cleaning, manipulation, and analysis activities. It handles large datasets effortlessly while allowing users to export cleaned data for further examination or visualization.

Overall, SAS Enterprise Guide is praised for its versatility in solving complex analytical problems across departments such as finance, marketing, operations, and risk management. Whether it's generating reports, performing deep analysis on large datasets or shaping data for specific needs - SAS Enterprise Guide proves to be an indispensable tool for businesses aiming to leverage their data effectively.

Flexible in working with different data sources: Users have praised SAS Enterprise Guide for its flexibility in working with various data sources, making it highly adaptable for different teams. Some reviewers specifically mentioned that this feature allows them to easily integrate and analyze data from multiple databases or file formats.

Easy generation of SQL code: Reviewers who may not be proficient in SQL appreciate the ability of SAS Enterprise Guide to generate SQL code easily. This feature simplifies the process of querying databases and extracting relevant information, enabling users to perform data analysis tasks without extensive programming knowledge.

Point-and-click interface for easy data manipulation: The point-and-click interface of SAS Enterprise Guide is highly appreciated by users as it allows them to create graphics, transform data, and perform statistics without the need for extensive programming knowledge. Several reviewers mentioned that this feature enables them to quickly access and manipulate data, saving time and effort in their analyses.

Difficult User Interface: Several users have expressed frustration with the user interface of SAS Enterprise Guide, finding it difficult to navigate and slow to develop. They have mentioned that there is excessive clicking required, which slows down their workflow.

Lack of Data Viewing Capability: Some users have highlighted the software's lack of ability to view data on the fly as a major drawback. This limitation makes it challenging for them to assess the impact of changes they make, hindering their decision-making process.

High Licensing Costs: Many reviewers believe that SAS Enterprise Guide is not worth its high price tag. They feel that the software does not provide enough value compared to free alternatives like Pandas, R Studio, and Python.

Reviewers highly recommend SAS EG as an effective ETL tool for handling large datasets. They appreciate its efficient data extraction, transformation, and loading capabilities, making it suitable for data analysis tasks. Additionally, users commonly praise SAS EG for its ability to meet regulator compliance requirements, thanks to its robust features and functionalities in this area. With these recommendations, it's evident that SAS EG is a reliable choice for working with large datasets and ensuring regulatory compliance.

Attribute Ratings


(1-9 of 9)
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Ben Holmes | TrustRadius Reviewer
Score 5 out of 10
Vetted Review
Verified User
We use it for analytics, and rough end extracts. This gives our staff administrative permissions to handle inside their SAS workflows, adding external data, and retaining repeatable steps to generate the same extract. We have both PC and Server SAS. My team uses the server a lot to handle larger analytical jobs. It is also used to handle data statistics and verify data quality.
  • Flexible to data sources
  • Works well across teams
  • Helps with SQL code writing
  • Difficult to write quickly, particularly if you need to change something in the data flow
  • Lots of clicking, slow to develop
  • Doesn't view data on the fly, hard to see what impact a particular change might have
  • Lots of licensing costs, very costly for what it does, basically equivalent to Pandas, but with huge cost tag
SAS Enterprise Guide is good at taking various datasets and giving analyst/user ability to do some transformations without substantial amounts of code. Once the data is inside SAS, the memory of it is very efficient. Using SAS for data analysis can be helpful. It will give good statistics for you, and it has a robust set of functions that aid analysis.
Score 8 out of 10
Vetted Review
Verified User
SAS Enterprise Guide is used by analysts in our unit to generate reports and clean data. It is used to perform analysis on large datasets and to combine data from multiple sources.
  • Map out process used to clean data and generate reports
  • Integrate with base SAS
  • GUI format is easy to use
  • Price
  • Getting started using this software can be intimidating
SAS Enterprise Guide is great for large datasets and visual representation of the data reporting process. It is easier to use than base SAS but allows our seasoned analysts and Epidemiologists to code as well.
December 18, 2019

SAS EG Review

Score 7 out of 10
Vetted Review
Verified User
We use SAS EG in the Business Intelligence and Research Departments for creating ad hoc and ongoing data shaping for reports. Mostly these are output to CSV files to be ingested into Qlik or Excel for further visualization and exploration. Some of the features EG has like the GUI for filtering, sorting and summarizing the data are useful for investigating the data attributes but most of the time I use short queries in SAS sql to get the insight I'm after. The Explore option in the dataset list in the servers can be handy because it allows you the freedom to use drop downs in the variable names for filters as is the cases in Excel or SAS studio however it's very slow if you're going to do this on a large dataset.
  • Ability to load an AutoExec when opening a session ensuring everyone has the same global variables.
  • Formatting with Ctrl I. If you're reading someone else's code and it's not formatted correctly you can highlight the area and hit Ctrl I.
  • SAS Studio has some great examples that can be implemented. Adding a filter to the output datasets for one.
  • Some issues around having to enter my password every time I open it up. Some people are having this issue and others aren't. SAS admin is at a loss to work out why it's occurring.
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.
Score 8 out of 10
Vetted Review
Verified User

I used SAS Enterprise Guide for data cleaning, data manipulation and data analysis activities. The data gathered from different databases are introduced to the program, furthermore data mapping, data cleaning and analysis rules are coded through the Graphical User Interfaces of SAS EG. Then we get the export of the cleaned data for further analysis such as filtering, searching or grouping.

SAS EG is a powerful tool for data cleaning and analysis activities. We have used SAS EG for finance department. But it can also be used for customer data analysis in marketing or operations departments.
  • Data cleaning, reformatting, manipulation and analysis.
  • User friendly GUI for introducing SAS Queries.
  • Easy to send the project tree to different users.
  • Easy to import data from external files such as txt, Excel. Can handle big data sets.
  • Project tree structure is easy to understand as you need SAS EG to make many calculation activities.
  • Process time of data is a bit long. It depends on the size of your data and complexity of your project tree.
  • There is not enough online free training videos.
  • While working with the project tree sometimes the links between the modules are broken or the order for running the modules get mixed up. You should know your project tree by heart.
Good Scenario: The user is confident with SQL, Algorithm designing or at least have some programming experience before starting SAS EG. Then he can easily import data from databases or external sources and complete actions such as cleaning or analysis. You can group the billing data and consumption of your customers. Clean the data through easy filters then group the customers into segments and start your analysis.

Bad Scenario: When you want to show this analysis in fancy Dashboards. Well it is better to export the final data set and then use a better dashboard tool.
Akshaya Bhardwaj | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
It is used in my current project in which I use SAS9.4 and the business problem is related to the churning of customers from retail stores. For that, I use this tool to draw some inferences. Inbuilt procedures give it a lot of power by which work becomes very easy. It is used in all of the departments and as per the client requirements.
  • 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.
  • It is a costly software to use as compared to R studio and Python which are free for users.
  • No addition to the packages that are currently required for Image processing etc.
  • It is just a tool that is used for data cleaning or data manipulation or to draw statistical output. I think a number of tools are doing the same. No new changes that I have seen to it from the last 3-4 years.
  • Data visualization charts are not that good using the tool.
SAS EG is well suited in the case of normal reporting and when drawing some inferences. For this, the software is very good. Its coding is also very simple which makes it easier to learn for beginners. The ODS(Output Delivery System) by which we can put the output into PDF/XML formats is also a very unique feature. Scenarios where it is less appropriate include: When we need to perform EDA(Exploratory Data Analysis) through charts and graphs, then this tool fails because of poor visualizing capability.

April 01, 2019


Score 10 out of 10
Vetted Review
Verified User
For now, Business Intelligence Analysts use it for writing SAS codes and more recently, we're able to schedule, run, and keep a version history of processes from a SharePoint site. That is so cool as it was a solution we had been looking for to keep a version history of our foremost operational processes. SAS EG is so easy to deal with and manipulate.
  • Easy slicing and dicing of data
  • Keeping version history
  • Process flow
When you need to keep a version history of your codes, Enterprise Guide is a good go-to. You can easily revert to previous versions though it creates a newer version as well.
Rohit Narang | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
SAS EG is being used in the Credit Risk Analytics domain within Wholesale Banking for validating models along with build analytics queries for quick refresh & slide-dice data for the regulatory requirements. Also, we often create project files (.egp) to record the flow of codes. Import/export data and the underlying connections among pieces is also stored in one place. It is frequently used for carrying out statistical analysis like ANOVA, univariate, and regressions for model development.
  • EG v7. 1 offers a GUI approach to query building as opposed to predecessors like Base SAS v9.1. It's easy for non-programming background users.
  • EG offers better connectivity with a remote server, while in an earlier version we had to segregate script using "rsubmit' blocks
  • Project files is a great feature (with process flow) in EG which was missing in earlier versions.
  • It's a preferred choice for people with SQL backgrounds, as proc SQL is a quite similar and easy to use procedure.
  • Proc Import & Export usage via code is still a problem, rather one needs to do it manually at times (using the wizard).
  • Visualization capabilities and cost could be an improvement that the next versions should bring.
  • Cost is also a concern compared to other products.
Well Suited to:
1. Carry out ad-hoc analysis and use basic statistical reports.
2. Query Builder for users with GUI likelihood to design queries.
3. For writing complex macros once for repetitive tasks & repeating with multiple iterations of different parameters, it is very useful.
Not Suited for:
1. Using pass through to read large datasets could be very resource & time-consuming.
Thomas Young | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
SAS Enterprise Guide is used across the organization for creating a more user-friendly SAS experience. SAS Enterprise is mostly used by analysts that prefer a point-and-click interface as opposed to base SAS programming. The software is used for querying databases, forecasting, and data visualization. It is used every day for advanced analytics in support of others that only know spreadsheet-type work.
  • I think the most useful aspect of SAS Enterprise Guide is the ability to use a point-and-click interface to create graphics, transform data, and perform statistics. The best part is that SAS Enterprise Guide creates base SAS code from the process, making it easy to reproduce analyses.
  • SAS Enterprise Guide makes creating summary statistics about as easy as it gets. If one doesn't know proc means or proc tabulate, one can use SAS Enterprise Guide instead.
  • The time-series forecasting procedures within SAS Enterprise Guide produce fairly good results. SAS Enterprise Guide makes time-series model comparisons relatively straight-forward.
  • SAS Enterprise Guide is nowhere near as efficient as base SAS. The program takes longer to load up, and running analytics on multiple millions of records takes much longer than base SAS.
  • The default coloring schemes of SAS Enterprise Guide are hideous. If you plan on presenting the results of SAS Enterprise Guide graphics, be prepared to make a number of coloring changes.
  • The base SAS code produced by SAS Enterprise Guide is good, although it still requires some clean-up. And sometimes the created code doesn't work when attempting to re-run it on the same analysis. That doesn't happen too often, but sometimes.
I think SAS Enterprise does a great job for SAS analysts that don't have a very good grasp of base SAS. The software makes SAS much more user-friendly. With that said, SAS Enterprise Guide also does a very good job offering a host of per-packaged graphics and data transformations. I can't image using base SAS without SAS Enterprise anymore. I think SAS Enterprise Guide is most useful for traditional analytical processes, such as time-series forecasting, outlier detection, and econometrics. I think the software is less useful for advanced machine learning or AI. SAS' Enterprise Miner does a much better job at that.
Mathieu Gaouette | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
SAS Enterprise Guide is used in several business units including marketing, HR, risk (all units). At a high level, it is used for data preparation for analytics developments (models, segmentation, forecasting, ...) and also for ad-hoc queries and data exploration. Being a 4th level programing language, a lot of business users like it. It is somewhat easy and quick to learn. SAS/Enterprise guide brings that ease at the next level with lots of built-in tasks that can be used instead of code.
So in terms of business problems, let's say that SAS/Enterprise Guide is a tool to answer business questions whichever they are.
  • Get detailed information about a datasource quickly with built in statistical tasks.
  • Join data from different of different nature from multiple sources (provided you have the associated SAS/Access component).
  • Structure projects with a visual interface and allow dependencies between them. Easy to structure and maintain.
  • 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.
SAS/Enterprise Guide is a great tool to give to an analyst in a company. I call it the swiss knife of analytics. It allows lots of functionalities from the integration of data and transformation to predictive modeling (if you have the Stat module).
I recommend it for ad-hoc data querying and manipulations.
For ETL processes, I suggest going with a proper ETL software that has data tracability.
As for reporting, it will work just fine but don't expect the same levels of customizations and "wow" as reporting softwares such as Tableau.
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