SAS Analytics for IoT Features

Provides useful pre-defined data connections to various types of IoT sensors and objects.

Provides a robust external interface for integrating data, logic and workflows with other software applications.

Maintains an efficient, reliable data flow with established sources.

Run detailed queries for searching, sorting, and analyzing data.

Create personalized dashboards for observing and interacting with data.

Contains tools to visualize data sets or workflows.

Offers actionable insights or relevant findings from unstructured data sets.

Track the individual performance of connected devices.

Learn about overall operational performance from device observations.

Make observations about environmental and workplace conditions.

Measure the usage of and/or demand for various resources.

Executes compute functions on local devices to remain consistently available and allows users to complete tasks reliably.

Generates data related to device and application usage and performance.

Stores device and application data locally to minimize potential for vulnerabilities and exposure.

Provides administration features for deploying live applications on edge devices.

The ability for administrators to update or change processes, configurations, workflows, and securitty mechanisms.

Connects to external systems and applications as needed to complete team workflows.

Offers simple, intuitive interface for designing IoT applications with little or no coding.

Configure user access and account permissions for edge device and application access.

Allows users to manage, orchestrate, and deploy containers on local devices.

Maintains an efficient, reliable data flow with established sources.

Track the individual performance of connected devices.

Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.