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Description

Implement sensors tailored for IoT applications and enhance the data collected by integrating it with environmental and control system information. This integration should occur in real-time with enterprise data, facilitating the deployment of predictive algorithms to uncover fresh insights and leverage your data for impactful purposes. Utilize advanced analytics to foresee maintenance issues, gain insights into asset usage, minimize defects, and fine-tune processes. Capitalize on the capabilities of connected devices to provide remote monitoring and diagnostic solutions. Furthermore, use IoT analytics to anticipate safety risks and ensure compliance with regulations, thereby decreasing workplace accidents. Lumada Data Integration allows for the swift creation and expansion of data pipelines, merging information from various sources, including data lakes, warehouses, and devices, while effectively managing data flows across diverse environments. By fostering ecosystems with clients and business associates in multiple sectors, we can hasten digital transformation, ultimately generating new value for society in the process. This collaborative approach not only enhances innovation but also leads to sustainable growth in an increasingly interconnected world.

Description

Utilize a comprehensive, AI-integrated solution to access, organize, select, and transform data from the Internet of Things. SAS Analytics for IoT encompasses the entire analytics life cycle related to IoT, featuring a streamlined and extensible ETL process, a data model focused on sensors, and an advanced analytics framework supported by a premier streaming execution engine that facilitates complex multi-phase analytics. Powered by SAS® Viya®, this solution operates efficiently within a fast, in-memory distributed setting. Discover how to create SAS Event Stream Processing applications capable of handling high-volume and high-velocity data streams, delivering real-time responses while retaining only the essential data elements. This course introduces fundamental principles of event stream processing, detailing the various component objects that can be utilized to construct effective event stream processing applications. Our commitment to curiosity drives innovation, as SAS analytics solutions convert raw data into actionable insights, empowering customers globally to embark on bold new ventures that foster advancement. Embrace the future of data analytics and unlock limitless possibilities with SAS.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Capgemini Intelligent Automation Platform No 
DataTerrain No 
HPE Consumption Analytics No 
Hitachi Visualization Suite Yes 
NVMesh No 
Omnio No 
Phonexia Voice Inspector No 
SAS Data Loader for Hadoop No 
SAS MDM No 
SAS Visual Statistics No 
SAS Viya No 
Uptempo No 

Integrations

Capgemini Intelligent Automation Platform Yes 
DataTerrain Yes 
HPE Consumption Analytics Yes 
Hitachi Visualization Suite No 
NVMesh Yes 
Omnio Yes 
Phonexia Voice Inspector Yes 
SAS Data Loader for Hadoop Yes 
SAS MDM Yes 
SAS Visual Statistics Yes 
SAS Viya Yes 
Uptempo Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Hitachi

Country

Japan

Website

www.hitachi.com/products/it/lumada/global/en/about/index.html

Vendor Details

Company Name

SAS Institute

Country

United States

Website

support.sas.com/en/software/analytics-for-iot-support.html

Product Features

EAM

CMMS No 
Energy Management No 
Equipment Management No 
Facility Management No 
IT Asset Management No 
Inventory Management No 
Maintenance Management No 
Parts Management No 
Preventive Maintenance Scheduling No 
Software License Management No 
Warranty Management No 
Work Order Management No 

Field Service Management

Billing & Invoicing No 
Contact Database No 
Contract Management No 
Customer Database No 
Dispatch Management No 
Electronic Signature No 
Inventory Management No 
Mobile Access No 
Payment Collection in the Field No 
Quotes / Estimates No 
Routing No 
Scheduling No 
Service History Tracking No 
Time Clock No 
Work Order Management No 

Industrial IoT

Condition Monitoring No 
Data Visualization No 
Factory Data Analytics No 
Machine Learning No 
Machine Workflow Creation No 
Predictive Maintenance No 
Production Line / Factory Insights No 
Real-Time Monitoring No 
Reporting / Analytics No 
Smart Alerts / Notifications No 

Integration

Dashboard No 
ETL - Extract / Transform / Load No 
Metadata Management No 
Multiple Data Sources No 
Web Services No 

IoT

Application Development No 
Big Data Analytics Yes 
Configuration Management No 
Connectivity Management No 
Data Collection Yes 
Data Management Yes 
Device Management Yes 
Performance Management Yes 
Prototyping No 
Visualization No 

IoT Analytics

Activity Dashboard No 
Activity Tracking No 
Analytics No 
Asset Tracking No 
Data Collection No 
Data Synchronization No 
Data Visualization No 
ETL No 
Multiple Data Sources No 
Performance Analysis No 
Real-Time Analytics No 
Real-Time Data No 
Real-Time Monitoring No 
Status Tracking No 

Manufacturing Intelligence

Aggregation No 
Analysis No 
Contextualization No 
KPIs No 
Propagation No 
Visualization No 

Tradesman Job Management

Contract Management No 
Customer Database No 
Dispatch Management No 
For Builders No 
For Electricians No 
For Field Service Businesses No 
For HVAC No 
For Plumbers No 
For Roofers No 
Invoicing No 
Job Tracking No 
Payments No 
Quoting No 
Reporting No 
Scheduling No 
Time Tracking No 

Product Features

IoT

Application Development No 
Big Data Analytics Yes 
Configuration Management No 
Connectivity Management No 
Data Collection Yes 
Data Management Yes 
Device Management No 
Performance Management No 
Prototyping No 
Visualization Yes 

IoT Analytics

Activity Dashboard No 
Activity Tracking No 
Analytics No 
Asset Tracking No 
Data Collection No 
Data Synchronization No 
Data Visualization No 
ETL No 
Multiple Data Sources No 
Performance Analysis No 
Real-Time Analytics No 
Real-Time Data No 
Real-Time Monitoring No 
Status Tracking No 

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