Overview
What is SAS Enterprise Guide?
SAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.
SAS EG is okay, does what you needed 10 years ago, but newer stuff is better
Powerful tool for analysis
SAS EG Review
Good tool for data cleaning, analysis and manipulation
I used SAS Enterprise Guide for data cleaning, data manipulation and data analysis activities. The data gathered from different databases …
One of the best and easy to use tool for data analysis and data manipulation.
SAS EG
SAS EG : A wholesome tool to extend analytics capabilities, but cost could be a concern
SAS/Enterprise Guide, the Analyst's swiss knife
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Pricing
What is SAS Enterprise Guide?
SAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.
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- No setup fee
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- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Details
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What is SAS Enterprise Guide?
SAS Enterprise Guide Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
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Reviews and Ratings
(27)Community Insights
- Business Problems Solved
- Pros
- Cons
- Recommendations
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
Reviews
(1-8 of 8)- 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
Powerful tool for analysis
- 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 EG Review
- 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.
Good tool for data cleaning, analysis and manipulation
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.
- 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.
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.
- 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
- Easy slicing and dicing of data
- Keeping version history
- Process flow
SAS EG : A wholesome tool to extend analytics capabilities, but cost could be a concern
- 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.
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.
SAS/Enterprise Guide, the Analyst's swiss knife
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.
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.