SAP Internet of Things Description

Utilize insights derived from IoT to enhance and transform business processes for significant improvements. The SAP Internet of Things solution provides features tailored for various industrial IoT scenarios. Functioning as the IoT component of SAP’s Business Technology Platform, it allows organizations to rethink their business processes and models by integrating IoT services and data seamlessly. The SAP IoT solution includes a comprehensive reference architecture that delivers business services and key functionalities to tackle essential industrial IoT challenges across sectors such as manufacturing, supply chain, logistics, asset management, product tracking, and service management. It also offers a cloud service designed for developing IoT applications and ensures integration with existing business applications. Additionally, it incorporates Big Data capabilities that are inherently managed, enriching IoT data with relevant business context, rules, and a framework for event-driven integration. Furthermore, it provides analytical services that are live-linked to SAP Analytics Cloud, empowering organizations to make data-driven decisions effectively. This holistic approach helps organizations unlock the full potential of IoT technology in their operations.

Pricing

Free Trial:
Yes

Integrations

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Company Details

Company:
SAP
Year Founded:
1972
Headquarters:
Germany
Website:
www.sap.com/products/iot-data-services.html

Media

SAP Internet of Things Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Live Rep (24/7)
Online Support

SAP Internet of Things Features and Options

IoT Software

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

IoT Analytics Software

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

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