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SAS Enterprise Guide

SAS Enterprise Guide

Overview

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
Incentivized
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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SAS EG

10 out of 10
April 01, 2019
Incentivized
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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Awards

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Pricing

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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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  • No setup fee

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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

Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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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!

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

(1-9 of 9)
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Ben Holmes | TrustRadius Reviewer
Score 5 out of 10
Vetted Review
Verified User
Incentivized
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.
December 18, 2019

SAS EG Review

Score 7 out of 10
Vetted Review
Verified User
Incentivized
Although not used in the enterprise, I have used Anaconda Python to shape and cleanse data from Excel reports that was too difficult for SAS to complete. The object oriented nature and the Pandas package made ingestion of the data and reshaping more useful in this use case. Anaconda was only on my local machine in this case so it wasn't an enterprise option. In this case, the IDE I was using was Spyder. It's window compartment for variable and data frame creation is very helpful as the information is only a click away and the compartment also had metadata around the variable/data frame showing it's size and shape.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
Akshaya Bhardwaj | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Why I prefer SAS EG: Data processing speed is much faster than that R Studio. It can load any amount of data and any type of data like structured or unstructured or semi-structured. Its output delivery system by which we have the output in PDF file makes it very comfortable to use and share that file to clients very easily.
Inbuilt functions are very powerful and plentiful. Facility of writing macros makes it far away from its competitors.
Thomas Young | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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.
Mathieu Gaouette | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
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).
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