Alteryx is popular for data integration, automation, and machine learning, enabling data cleansing and preparation. It supports drag-and-drop functionality, enhances workflow optimization, and integrates with databases like SQL Server and SAP HANA. Users appreciate its large dataset handling and user-friendly interface but suggest improvements in visualization, pricing, and cloud integration.
A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources.
The seat is too expensive.
A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources.
The seat is too expensive.
SAS Enterprise Guide is used in data manipulation, analysis, and processing across sectors like banking and pharmaceuticals. It assists with ETL, data cleansing, and model building, empowering users through a visual interface, drag-and-drop features, and query builders. Challenges include limited visualization, machine learning integration, and enhancing Big Data connectivity.
Management liked it a lot because the license per seat was cheaper than a traditional SAS environment.
It is very expensive. We have a basic license, and there are many features that are not available with the basic version.
Management liked it a lot because the license per seat was cheaper than a traditional SAS environment.
It is very expensive. We have a basic license, and there are many features that are not available with the basic version.
