{"id":9390,"date":"2023-09-25T06:32:48","date_gmt":"2023-09-25T06:32:48","guid":{"rendered":"https:\/\/businessyield.com\/tech\/?p=9390"},"modified":"2023-09-25T06:32:51","modified_gmt":"2023-09-25T06:32:51","slug":"top-sas-viya-competitors-alternatives","status":"publish","type":"post","link":"https:\/\/businessyield.com\/tech\/technology\/top-sas-viya-competitors-alternatives\/","title":{"rendered":"Top Sas Viya Competitors & Alternatives 2023","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"\n
SAS Viya, a data analytics framework, has the potential to enhance corporate efficiency in data analysis by facilitating faster processing. SAS Viya facilitates the accessibility of big data analysis for enterprises, enabling a streamlined progression through each phase of the analytical process, encompassing data gathering and data deployment, hence enhancing efficiency. The utilization of SAS Viya has proven advantageous for all the companies I have interacted with, spanning diverse sectors, owing to its efficient timetable and adaptable operational capabilities. Please peruse the article to gain further insights into Sas Viya, its competitors, and potential alternatives.<\/p>\n\n\n\n
A cloud-based in-memory analytics engine called SAS Viya offers enterprises data visualization, reporting, and analytics for useful data insights. It combines visual analytics, visual statistics, and data science with AI to enable end-to-end self-service analytics for businesses. It has support for programming in R, Python, SAS, Java, and Lua and makes use of a uniform code base. Computer operations are split among several cores on a single server using SAS Viya. For however long it is necessary, all information and tables are kept in memory. The SAS Viya engine provides a secure, scalable multi-user environment where concurrent users can cooperate with one another.<\/p>\n\n\n\n
Utilize autonomous data exploration and manipulation to delve into data for thorough analysis and view important business indicators. To gain insight from people around the workplace, create and personalize interactive reports and visualizations. Use auto-charting to receive recommendations for the graphics that will best display the relevant data. <\/p>\n\n\n\n
Utilize neural networks, regression, and clustering to analyze data and create prediction models. Ensure version control by following the development of data models and their use by registering, validating, and keeping track of each version. creates and saves copies of model files and properties for later use. <\/p>\n\n\n\n