Best IoT Analytics Software for HPE Consumption Analytics

Use IoT-enriched business insight to embed in and expand business processes for transformative results. The SAP Internet of Things solution can address industrial IoT use case. It is the IoT layer in SAP's Business Technology Platform and allows users to reimagine business models and business processes using embedded IoT data and services. The SAP Internet of Things solution (SAP IoT), has a reference architecture that provides business services and specific capabilities to address industrial IoT use case across manufacturing, supply chain logistics, products, service management, and other areas. Cloud service for building IoT apps and integrating to business applications. Big Data that is integrated and managed. IoT data enhanced with business context, rules and an event-driven integration framework. Analytical services that allow live integration to SAP Analytics Cloud.

IoT makes your HMI/SCADA platform easier and more efficient. The Internet of Things (IoT), which is smart and interconnected, sees the world in a smart and interconnected way. Its vision is to connect assets or "things" to a larger IoT system or network of systems that makes up a smart grid. These "things" can still be controlled, actuated, automated, and operated autonomously. Users have more options than ever thanks to the unification of devices. ICONICS' SCADA for IoT collects these data and provides operators with an additional layer of actionable intelligence. ICONICS IoT connects buildings, facilities, equipment, and other devices using secure TLS encryption and Microsoft Azure. Access to your cloud data can be made from anywhere via pub/sub architecture. This allows for real-time visualization at the edge of KPI data. Through bi-directional AMQP, we provide a secure and efficient connection to the cloud via Microsoft Azure.

This complete, AI-embedded solution allows you to access, organize, select, and transform IoT data. SAS Analytics for IoT provides a comprehensive, extensible ETL solution that covers the entire Internet of Things analytics cycle. It also features advanced analytics, a sensor-focused data modeling, advanced analytics, and a streaming execution engine that can perform multi-phase analysis. SAS Analytics for IoT runs in a distributed, fast-in-memory environment. Learn how to create SAS Event Stream Processing applications that ingest large volumes of high-velocity data streams and respond in real-time. This course teaches you the basics of event stream processing and what components are needed to create event stream processing apps. Our code is Curiosity. SAS analytics solutions transform data to intelligence, inspiring customers all over the globe to make bold discoveries that lead to progress.

Urbanization is increasing at an unprecedented pace, making it more difficult for planners and administrators to provide safe, sustainable, and intelligent cities and work environments for their occupants. Their challenge is to create more sustainable urban living environments and work environments with limited resources. To achieve sustainable living and economic growth, city leaders must use data from multiple Smart City 1.0 sources. The TCS Intelligent Urban Exchange™ IoT Analytics for Smart Cities and Businesses, a modular platform that provides insight-centric software solutions to address modern-day challenges, was designed to accelerate the implementation smart IoT initiatives. This cloud platform uses data from multiple systems and IoT devices. It also runs advanced analytics that support real time decision-making.