SAS Enterprise Miner and Alteryx both compete in the advanced data analytics market. Alteryx appears to have the upper hand due to its ease of use and flexible deployment, which attracts a broader range of users.
Features: SAS Enterprise Miner is known for its strong statistical and machine learning methods. It provides a comprehensive suite for predictive modeling, offers robust statistical capabilities, and allows integration of SAS code in its processes. Alteryx is valued for its intuitive drag-and-drop interface, the capability to blend large datasets, and its support for a variety of data inputs. It also features built-in machine learning models and seamless integration with tools like Tableau.
Room for Improvement: SAS Enterprise Miner could benefit from a simpler user interface and reduced complexity in setup. Enhancing its ease of use would make it accessible to a wider audience. Improving integration capabilities with non-SAS tools may also boost its adaptability. Alteryx could work on enhancing its advanced analytical capabilities to better cater to data scientists. Further refinement of its complex features could help advanced users who seek deeper insights. Expanding its machine learning functionalities could also enhance its current offerings.
Ease of Deployment and Customer Service: SAS Enterprise Miner often requires a more complex setup process and technical expertise, which may be challenging for some users. It's best suited for organizations with an established IT infrastructure. Alteryx offers a straightforward deployment experience with user-friendly workflows. It receives praise for its effective customer support, helping users promptly resolve issues.
Pricing and ROI: SAS Enterprise Miner involves a higher initial cost, which might be a barrier for smaller businesses but offers substantial long-term ROI for analytical projects. Alteryx, with more flexible pricing and faster deployment, provides quicker ROI and is cost-effective, making it appealing to organizations looking for immediate results.
Alteryx can be used to speed up or automate your business processes and enables geospatial and predictive solutions. Its platform helps organizations answer business questions quickly and efficiently, and can be used as a major building block in a digital transformation or automation initiative. With Alteryx, you can build processes in a more efficient, repeatable, and less error-prone way. Unlike other tools, Alteryx is easy to use without an IT background. The platform is very robust and can be used in virtually any industry or functional area.
With Alteryx You Can:
Alteryx Features Include:
Some of the most valuable Alteryx features include:
Scalability, stability, flexibility, fast performance, no-code analytics, data processing, business logic wrapping, scheduling, ease of use, data blending from different platforms, geo-referencing, good customization capabilities, drag and drop functionality, intuitive user interface, connectors, machine learning, macros, simple GUI, integration with Python, good data transformation, good documentation, multiple database merging, and easy deployment.
Alteryx Can Be Used For:
Alteryx Benefits
Some of the benefits of using Alteryx include
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Reviews from Real Users
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful." - Theresa M., Senior Capacity Planner at a financial services firm
"Alteryx has made us more agile and increased the speed and effectiveness of decision making." - Richard F., Director, Digital Experience & Media at Qdoba Restaurant Corporation
"The scheduling feature for the automation is excellent." - Data Analytics Engineer at a tech services company
"The product is very stable and super fast, five-star. It's significantly more stable than its nearest competitor." - Director at a non-tech company
“A complete solution with very good user experience and a nice user interface.” - Solutions Consultant at a tech services company
"There are a lot of good customization capabilities." - Advance Analytics PO at a pharma/biotech company
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