At the recently concluded SAS Global Forum, SAS announced several new analytics solutions for the Internet of Things and customer interactions. It also announced an open and cloud-ready architecture.
SAS Analytics for IoT helps organizations interpret rapidly moving and accumulating data, and confidently make decisions based on that data. The resulting gains – such as improved safety and reduced injuries or enhanced product quality – translate into healthier profits, says SAS.
Open and cloud-ready
SAS Viya provides businesses, governments and other organizations a single, open and cloud-ready architecture.
SAS Viya supports new analytic methods that can be accessed from SAS and other programming languages, initially Python, Lua and Java, as well as public REST APIs.
The company says SAS Viya is service-oriented and cloud-ready for many public or private cloud infrastructures, and will deliver new public APIs that can be called as a service. From casual business users to data scientists and application developers, SAS Viya provides fast, analytically-proven answers for anyone.
“The open SAS Viya architecture makes analytics accessible to anyone, and we want to build upon that openness by creating a community for knowledge sharing,” said Randy Guard, SAS Executive Vice President and Chief Marketing Officer. “Our users will be able to contribute code, procedures, visuals and services, and collaborate on ideas.”
Analytics for customer intelligence
The SAS Customer Intelligence 360 is a new digital marketing hub that unites data from all channels to help users make smarter decisions and improve their customers’ experience. Delivered through the cloud via SaaS, SAS Customer Intelligence 360 arms marketers for successful customer interactions through guided analytics, data freedom, one customer across all channels and performance insights.
“We built SAS Customer Intelligence 360 as an intuitive digital marketing hub that brings together all available data. It helps marketers meet customers’ needs in real-time,” said Wilson Raj, Global Director of SAS Customer Intelligence. “For example, with integrated data at their disposal, a marketer can immediately send a personalized offer to a customer’s smartphone when they’re near a brick-and-mortar location.”