INDIANAPOLIS, IN, November 02, 2017 /24-7PressRelease/
-- Pinnacle Solutions, Inc. is introducing rapid Amazon Web Services (AWS) deployment of SAS Viya at AWS re:Invent 2017. SAS Viya is a flexible, scalable and cloud-ready platform that empowers users of all analytical skill levels to collaborate and deliver actionable business insights.
In addition to removing technical skill level barriers, SAS Viya enables open source users to leverage SAS' trusted platform and powerful analytic capabilities. Pinnacle Solutions has been providing SAS solutions on AWS for over five years.
"Pinnacle Solutions is a leader within our partner community, guiding SAS users toward our latest capabilities," said Robby Powell Principal Product Manager of Cloud and Platform Technologies at SAS. "Pinnacle Solutions' efforts have enabled multiple clients to leverage SAS workloads on AWS, and this next step will aid our clients' adoption and deployment of SAS Viya products on AWS."
Pinnacle Solutions is currently deploying all available SAS Viya analytics products on AWS, including SAS Visual Analytics, SAS Visual Statistics, SAS Visual Data Mining and Machine Learning, SAS Visual Forecasting, SAS Optimization, SAS Econometrics and SAS Event Stream Processing. They will also be deploying other SAS Viya offerings as they become available. Pinnacle Solutions is a Bronze Sponsor and will be showcasing SAS Viya in the AWS re:Invent Expo at booth number 2837 in The Venetian hotel.Pinnacle Solutions
, Inc. is a business intelligence (BI) solutions provider that uses SAS to integrate, analyze and interpret the "mountain" of data that organizations collect and utilize to run their operations. From a concept to a complete implementation, Pinnacle Solutions' full-service offerings help departments and agencies understand the past, monitor the present and predict outcomes as they move the organization ahead. Pinnacle Solutions' services empower organizations to rise to a higher level of clarity, thus providing high-quality services efficiently and effectively to constituents, while maximizing limited resources and budgets.