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SAS Enterprise Guide is a versatile software that is widely used across various departments within organizations. Users appreciate its …
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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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What is SAS Enterprise Guide?
SAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.
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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 |
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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.
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(1-4 of 4)Companies can't remove reviews or game the system. Here's why
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
- Integrates IT development with analytical/business areas by giving a "code share"
- Visual of data flow helps communicate process to others
- Reasonably shares programs with team mates
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.
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.
- 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.
SAS EG has better Graphical User Interface to build project trees and help users to create data queries/calculations. SAS EG can handle bigger data sets compared to other programs. You can easily clean the data sets and manipulate the data. It is easier to send the project tree to other users. However SAS EG has less free online training material over internet.
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.
- SAS Enterprise Guide saves tons and tons of time. An analyst that makes $100/hr programming base SAS should be able to get a job done in a third of the time, meaning a savings per day of around $500. If you use SAS or plan to use SAS, I think SAS Enterprise Guide is the best add-on.
- Because SAS makes many analytical processes easy to perform, sometimes less experienced analysts will pretend to know what they are doing simply by trusting what SAS is doing. Essentially, the software may lure some analysts into a false sense of professional knowledge. If you're someone who criticizes model building for a living, you'll likely need to spend time with such individuals, explaining where they went wrong and what SAS is doing.
- Although SAS Enterprise Guide is not as fast as base SAS (because of all the additional features), it is still much quicker than any free tool I have tried. The proficiency makes up for the cost of the software.
- MATLAB, Microsoft BI, SAP HANA, SAP HANA Express Edition, Microsoft Access, Amazon SageMaker, IBM SPSS Modeler, IBM SPSS, RStudio, Anaconda, JMP Statistical Discovery Software from SAS, JMP Pro, RapidMiner Studio, Alteryx Analytics, MicroStrategy Analytics and KNIME Analytics Platform
Of the software tools I have tried, SAS Enterprise Guide is my preferred choice because of the efficiency of processing, the line-by-line processing, the ease of writing code, and the customer support. SAS appears to have put lots of effort into making SAS Enterprise Guide one of the best products the company produces. SAS Enterprise Guide, of course, is not the easiest to simple econometrics. It does take a little more effort to become advanced.
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.
- Positive (cost): SAS made a bundle that include unlimited usage of SAS/Enterprise Guide with a server solution. That by itself made the company save a lot of money by not having to pay individual licences anymore.
- Positive (insight): Data analysts in business units often need to crunch data and they don't have access to ETL tools to do it. Having access to SAS/EG gives them that power.
- Positive (time to market): Having the users develop components with SAS/EG allows for easier integration in a production environment (SAS batch job) as no code rework is required.
I haven't used SPSS myself but from what I was told, integration of data was much more limited and not easy to used.
Also, the number of people with SPSS knowledge is less than the number of SAS users so finding workforce can be an issue.
The whole SAS solution just made much more sense (more integrated, easier to work with, easier to find people to work with it).
Also, the number of people with SPSS knowledge is less than the number of SAS users so finding workforce can be an issue.
The whole SAS solution just made much more sense (more integrated, easier to work with, easier to find people to work with it).