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:
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Provides users with robust, centralized, and role based system security. SAS Enterprise Guide enables users to protect their network from a wide variety of threats. A single system of security provides and authenticates system access credentials. Individuals are empowered to easily adjust their organization’s security credentials to meet their changing security needs.
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Easily access and manipulate system data. SAS Enterprise Guide employs a user-friendly user interface that enables users to view and and use data without requiring them to have an extensive knowledge of coding. Business analysts can generate and disseminate reports without help. Information technology teams are freed up to handle more pressing issues. Datasets can also be embedded into the system so that users dont have to re-enter them into the system.
Reviews from Real Users
SAS Enterprise Guide is a statistical analysis tool that stands out among its competitors for a number of reasons. Two major ones are the solution’s intuitive nature and the suite of functionalities that it offers. SAS Enterprise Guide makes it easy for users who lack a background in statistical analysis to create workflows. The solution enables users to customize and configure queries without requiring them to have a background in coding. SAS Enterprise Guide has a wide variety of functionalities. It is highly flexible and gives users the ability to complete many different tasks.
The head of analytics at a communications services provider writes, “I think that the ease of use is the most valuable feature. I know SQL. I even taught SQL. But new people who come to the tool without in-depth knowledge of SQL or people who do not have an analytics background can still use the tool. It is very easy for these new users to climb the learning curve using SAS Enterprise Guide because of the way it was created with ease-of-use in mind. It is well-oriented to the business user. In no time new users are able to create workflows. Obviously, it is best if they have some basic knowledge of how things work in doing analysis — like the concept of joins, data profiling, and maybe some other SQL-related concepts. But the key here is they do not need to know how it is coded or the exact commands. All the features are available within Enterprise Guide through a drag-and-drop interface so queries can be built without extensive knowledge of how that works behind the scenes. The ease-of-use makes the tool valuable even for someone who is near the beginner level.”
Monica B., an SAS Application Architect at a computer software company, writes, “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 statistics course.”
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Visual Layer effectively addresses the challenges of data-intensive environments. It merges advanced visual tools with intelligent data processing, enabling users to create meaningful insights from large datasets. This integration is crafted to support informed decision-making processes applicable across a range of industries. With an emphasis on agility, it ensures flexibility and adaptability, catering to the evolving demands of its users.
What are the key features of Visual Layer?
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How does Visual Layer deliver ROI?
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Visual Layer sees application across sectors such as finance, healthcare, and manufacturing, where data-driven strategies are pivotal. In finance, it enables real-time analysis of market trends. Healthcare professionals utilize it for patient data management, improving care outcomes. Manufacturing benefits from predictive analytics, optimizing production processes.
