SAS Analytics for IoT Features

Identify component attributes like servers, hardware, software, and manage relationships across all services

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Monitor the usage of assets, such as equipment, tools, software, etc., throughout their lifecycle

Tools for the systematic analysis of various types of data or statistics

Active reporting of data and metrics

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Process of gathering, measuring, and analyzing accurate data

Receive data and information in real time

Review data from past periods to reveal recurring tendencies and predict future performance

Track and document all activities across devices, networks, and other systems

Use AI to generate content in the form of text, images, videos, etc.

Allows users to manage data from a number of sources

Ability to handle large datasets

Predict future data based on historical data sets

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

Interact with data visualization elements, such as charts and graphs, to drill down into data

System alerts about the need to escalate an issue or request

Active monitoring of systems, applications, or networks

Notifications that are delivered to users as soon as an event occurs

Process of extracting, transforming, and loading data

Analyze and gain insights into data in real-time

Observe and track the demand, usage, progress or quality of a system, product, or user

Critical link between devices, network, and reliable delivery of IoT data.

Monitor and analyze the performance and status of a server or system/application

Track the status over time for a request, process, asset, or transaction

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

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.

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.

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.

Specialized for devices with sensors and processing ability to connect and exchange data over the internet

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.

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.

Graphical representation of data