Data Scientist at a tech services company with 1,001-5,000 employees
Real User
Top 10
2023-10-10T05:41:31Z
Oct 10, 2023
It streamlines our workflow involving multiple steps, from data extraction to modeling, and it is aimed at improving various aspects of banking operations, including customer retention and risk management.
Enterprise Guide is much better at generating reports than many solutions. We often use it to generate reports, and people interpret them how they like. They often probably use Excel spreadsheets or something like that after they get our data.
Senior Manager, Data Science and AI / ML Manager at Bell
Real User
2022-06-23T15:03:20Z
Jun 23, 2022
We are using SAS Enterprise Guide on a basic level and the Pro SQL and other procedures within it are the most useful right now. Additionally, it has a wide feature set and capabilities
Similar to Microsoft Access, you can drag and drop. You can simply drag and drop objects onto the page and create various flows to establish your query within the project. You can extract those queries from the preview as needed.
Head of Customer Intelligence & Research at a financial services firm with 5,001-10,000 employees
Real User
2022-05-04T07:01:30Z
May 4, 2022
The data cleaning part is valuable. SAS is a very powerful tool to work with and connect with different sources. We have several tables, and we are looking up tables from one place to another place. We are connecting with different data sources. The data is not coming from one source. There are several sources of data, and we have information coming from different sources. There are some flat files, and there is some information from the data warehouse.
SAS Application Architect at a computer software company
Real User
2021-04-26T15:36:31Z
Apr 26, 2021
Filter and sort query builder is valuable. The ability to do advanced SAS programming is also a useful feature because we can do anything by using Enterprise Guide.
It has a lot of functionalities. We can build ETL processes. There are clients who are using SAS Enterprise Guide to build ETL processes. They have a SAS-based program that is scheduled to run at a certain frequency to produce some reports for the business. It is a very useful tool for ETL unit tests and functional tests. You can also do data science projects in SAS Enterprise Guide by using different statistics. During my MBA, we used SAS Enterprise Guide for our statistic course.
To query the data, there are many solutions such as SQL, but these tools are only a part of the integration. They are only useful for querying the data and require knowledge of SQL, so they are not suitable for business users. SAS Enterprise Guide can be very easily used by business users to filter and sort the data and build queries. It is not necessary to have coding skills to use SAS Enterprise Guide. For this reason, it is attractive for businesses.
Actuarial Analyst at a insurance company with 501-1,000 employees
Real User
2021-04-25T18:06:30Z
Apr 25, 2021
We are able to work on the server, and I can copy a data set and share it with someone in my team. Similarly, if I want some data from them, I can get it. Being able to work on the server and being able to switch from one user to another is a good thing.
It is reliable and powerful, and its community is very wide.
Cenior Healthcare Economic Consultant at a healthcare company with 10,001+ employees
Real User
2020-05-07T06:06:00Z
May 7, 2020
Areas where SAS EG does a better job than regular SAS are in the realm of importing and exporting data. For instance, exporting a SAS data set in Unix to an Excel spreadsheet on a PC is a simple task compared to doing the same task with Base SAS.
In Daman, I had used the data module, where you can join the table and take whatever data we require for our work. You join tables and create columns as you wish, then analyze data in various ways depending on what the problem is. We used it to detect fraud, abnormalities, anomalies, abnormal trends, etc. It's also good for exporting and importing tables.
Data Architect at a tech services company with 201-500 employees
Real User
2019-11-11T19:21:00Z
Nov 11, 2019
Statistical functionality and basic database interaction can become very straightforward for business users that don't have a background in SQL and data analysis.
SAS Enterprise Guide is an intuitive statistical analysis solution that enables users of all backgrounds to engage in statistical analysis.
Users can create and deploy customized tasks and dynamic content that best meet their needs. Interactive content can easily be shared on the cloud and the internet.
Benefits of SAS Enterprise Guide
Some of the benefits of using SAS Enterprise Guide include:
Provides users with robust, centralized, and role based system security. SAS Enterprise Guide...
It streamlines our workflow involving multiple steps, from data extraction to modeling, and it is aimed at improving various aspects of banking operations, including customer retention and risk management.
One of the features of the SAS Enterprise Guide is that it has a server, and we can access the server.
The query builder feature is the most valuable.
Enterprise Guide is much better at generating reports than many solutions. We often use it to generate reports, and people interpret them how they like. They often probably use Excel spreadsheets or something like that after they get our data.
We are using SAS Enterprise Guide on a basic level and the Pro SQL and other procedures within it are the most useful right now. Additionally, it has a wide feature set and capabilities
Similar to Microsoft Access, you can drag and drop. You can simply drag and drop objects onto the page and create various flows to establish your query within the project. You can extract those queries from the preview as needed.
The data cleaning part is valuable. SAS is a very powerful tool to work with and connect with different sources. We have several tables, and we are looking up tables from one place to another place. We are connecting with different data sources. The data is not coming from one source. There are several sources of data, and we have information coming from different sources. There are some flat files, and there is some information from the data warehouse.
Filter and sort query builder is valuable. The ability to do advanced SAS programming is also a useful feature because we can do anything by using Enterprise Guide.
It has a lot of functionalities. We can build ETL processes. There are clients who are using SAS Enterprise Guide to build ETL processes. They have a SAS-based program that is scheduled to run at a certain frequency to produce some reports for the business. It is a very useful tool for ETL unit tests and functional tests. You can also do data science projects in SAS Enterprise Guide by using different statistics. During my MBA, we used SAS Enterprise Guide for our statistic course.
To query the data, there are many solutions such as SQL, but these tools are only a part of the integration. They are only useful for querying the data and require knowledge of SQL, so they are not suitable for business users. SAS Enterprise Guide can be very easily used by business users to filter and sort the data and build queries. It is not necessary to have coding skills to use SAS Enterprise Guide. For this reason, it is attractive for businesses.
We are able to work on the server, and I can copy a data set and share it with someone in my team. Similarly, if I want some data from them, I can get it. Being able to work on the server and being able to switch from one user to another is a good thing.
It is reliable and powerful, and its community is very wide.
The product has a drag-and-drop feature that is excellent for business users and that makes it easy-to-use.
Areas where SAS EG does a better job than regular SAS are in the realm of importing and exporting data. For instance, exporting a SAS data set in Unix to an Excel spreadsheet on a PC is a simple task compared to doing the same task with Base SAS.
The Query Builder is very valuable.
In Daman, I had used the data module, where you can join the table and take whatever data we require for our work. You join tables and create columns as you wish, then analyze data in various ways depending on what the problem is. We used it to detect fraud, abnormalities, anomalies, abnormal trends, etc. It's also good for exporting and importing tables.
Statistical functionality and basic database interaction can become very straightforward for business users that don't have a background in SQL and data analysis.
This solution allows for simplified working with large datasets.