TrustRadius Insights
SAS Enterprise Guide is a versatile software that is widely used across various departments within organizations. Users appreciate its …
Overview
What is SAS Enterprise Guide?
SAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.
Recent Reviews
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Pricing
N/A
Unavailable
What is SAS Enterprise Guide?
SAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Would you like us to let the vendor know that you want pricing?
96 people also want pricing
Alternatives Pricing
What is RapidMiner?
RapidMiner is a data science and data mining platform, from Altair since the late 2022 acquisition. RapidMiner offers full automation for non-coding domain experts, an integrated JupyterLab environment for seasoned data scientists, and a visual drag-and-drop designer. RapidMiner’s project-based…
What is AdvancedMiner?
Designed to deploy predictive modelsOne tool for data processing, analysis and modeling! The user-friendly workflow interface helps you explore all your data & more. Supports all analytical tasks: Extracting and saving data from/to different database systems, files, and data…
Product Details
- About
- Tech Details
What is SAS Enterprise Guide?
SAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.
SAS Enterprise Guide Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Comparisons
Compare with
Reviews and Ratings
(28)
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!
- 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
(1-6 of 6)Companies can't remove reviews or game the system. Here's why
April 22, 2020
Powerful tool for analysis
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
December 18, 2019
SAS EG Review
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.
October 09, 2019
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.
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.
February 23, 2019
SAS EG : A wholesome tool to extend analytics capabilities, but cost could be a concern
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.
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.
August 09, 2018
SAS/Enterprise Guide, the Analyst's swiss knife
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.
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.