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Say hello to PRTG Network Monitor, our award-winning and all-inclusive monitoring solution. Let us start by telling you what PRTG is and can do. First and foremost, it is an on-premise and cloud-based network monitoring solution. ...Read more
SAS Analytics for IoT is an IoT analytics solution designed to help businesses integrate real-time and historical data for analysis. Key features include best-practice templates, real-time analytics, data profiles and data mining....Read more
AppDynamics is an AI-powered application performance management (APM) platform that provides businesses with complete observability over the performance of their IT infrastructure. Unifying full-stack performance monitoring, AppDy...Read more
Sumo Logic is a cloud-based log management platform that helps small to large businesses create, manage and archive event logs for auditing, issue tracking and compliance. The centralized platform comes with real-time analytics mo...Read more
ThingSpeak is an Internet of Things (IoT) analytics platform, which helps businesses gather, analyze and visualize live data. Organizations can capture and store information about air pressure, temperature, humidity and other metr...Read more
IoTConnect is a platform as a Service (PaaS) solution that helps businesses streamline application development, data storage and device management operations. It enables software developers to gain insights into business analytics...Read more
Fleet Connect is an IoT analytics and fleet management solution that helps businesses in transportation, logistics, food distribution and other industries streamline processes related to location tracking, fuel management, complia...Read more
Google Cloud IoT is a cloud-based internet of things (IoT) platform that helps businesses securely analyze, manage and ingest data from multiple devices. The platform enables IT teams to streamline data collection, processing and ...Read more
AWS IoT Analytics is an analytics solution that helps businesses of all sizes in retail, healthcare, transportation, education, and other industries streamline operations related to IoT data cleansing, transformation, visualizatio...Read more
Biz4Intellia is an end-to-end IoT business solution: a well-integrated combination of IoT devices, an IoT platform suite, and existing business applications. A product for your IoT (Internet of Things) needs, a product to interco...Read more
DeepInsights is a AI and IoT analytics platform that offers the following features: Dashboards for Alarms and Visualization (DeepInsights): Customer-facing platform to provide the end user with real-time alerts, video monitoring ...Read more
The IoT devices you use for your business, such as smart lighting systems, wireless inventory trackers, connected security cameras, smart fleet sensors, and smart thermostats, generate large volumes of unstructured device data. If analyzed properly, this device data can provide insights into the performance of your assets and processes as well as help predict future outcomes.
IoT analytics software automates the process of collecting and analyzing the IoT data generated by internet-connected devices. You can use the generated insights to optimize operations, improve business processes, predict inventory needs, track the condition of assets and equipment, and much more. The software helps you make data-backed decisions for your business.
Given the many options available on the market, it can be confusing to decide which software to choose. In this buyers guide, we provide all the information you need to purchase an IoT analytics tool that suits your business needs.
Here's what we'll cover:
IoT analytics software is a software tool that automates the process of collecting and analyzing sensor data from internet-connected IoT devices. It allows businesses to evaluate historical device data and derive actionable insight from it to predict future outcomes, such as potential failure or breakdown of machinery.
The software offers data analytics capabilities to help businesses better understand unique data parameters such as temperature, motion, and sound from IoT devices such as connected appliances, smart factory equipment, and wearable health monitoring devices. It prepares, filters, transforms, and drills into sensor data to extract insights for decision-making.
The software has many applications, including facility management, asset management, retail customer experience management, quality management, and fleet management.
The analytics dashboard in IoTConnect (Source)
Most IoT analytics software platforms have the following common features:
Asset tracking | Analyze usage data of assets, such as software and hardware systems, throughout their lifecycle to track performance and address issues proactively. |
Data collection | Collect data directly from internet-connected devices, sensors, and time-series databases to generate insights for your business. |
Real-time analytics | Analyze the data generated by any IoT device in real time to extract insights and predict future outcomes. |
Activity dashboard | Access a centralized dashboard that compiles the data collected from IoT devices and visualizes key data points from it. |
Predictive analytics | Analyze historical and current data from IoT devices and sensors to predict future outcomes and take corrective action proactively. |
Real-time notifications | Receive real-time notifications about equipment failures, breakdowns, or any other critical event. |
Real-time monitoring | Continuously monitor the data generated by IoT devices to track device performance and stay updated on all developments. |
Extract, transform, load (ETL) | Collect data from IoT devices and load it into a centralized database to ease the process of data analysis. |
Before evaluating IoT analytics software options, determine what you plan to use it for. Most buyers of the software belong to the following industries:
Implementing an IoT analytics platform has various benefits, including:
Here are a few things to keep in mind when purchasing an IoT analytics platform:
Here are a few latest trends in the IoT analytics software market:
Note: The application selected in this guide is an example to show a feature in context and is not intended as an endorsement or recommendation. It has been taken from sources believed to be reliable at the time of publication.