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The Internet of Things (IoT) is growing at an astonishing rate and is only throttled by the shortage of chips. According to a recent report by market research firm IoT Analytics, there were 12.2 billion active IoT endpoints by 2021. And it is estimated there will be over 29 billion IoT devices connected to the […]
The Internet of Things (IoT) is growing at an astonishing rate and is only throttled by the shortage of chips. According to a recent report by market research firm IoT Analytics, there were 12.2 billion active IoT endpoints by 2021. And it is estimated there will be over 29 billion IoT devices connected to the internet by 2030.
This means that businesses will need to prepare for a world where almost everything is connected and be equipped to deal with the deluge of data these devices collect.
One of the most important aspects of this new era is IoT analytics. IoT analytics allows businesses to make sense of all the data being generated by these devices.
IoT analytics software enables companies to generate insight from the data generated by connected devices. It allows you to track the performance of your machinery, understand unique datasets, and provide predictive maintenance recommendations.
IoT analytics tools also help you prepare, filter, and transform data. This can be helpful in drilling down into specific datasets and understanding the relationships between different data points. By understanding the data generated by IoT devices, you can gain valuable insights into the performance of your business and the health of your machines.
Also see: Best IoT Platforms for Device Management
IoT analytics tools are designed to help organizations make sense of the vast amounts of data being generated by their IoT devices. But with so many options on the market, it can be difficult to know which tool is right for your organization. To help you make a decision, we’ve put together a list of the four must-have features of IoT analytics tools.
A good IoT analytics tool must be able to consume data directly from internet-connected devices, sensors, and time series databases. This data is typically stored in JSON or CSV format. The tool should also support batch and real-time data ingestion, so you can start analyzing your data as soon as it’s collected.
The tool should support data modeling, so you can create models of data to understand better what it contains. It should also support data discovery, which allows you to explore data without having to write any code. This is especially important if you’re not a data scientist or engineer.
A good IoT analytics tool will allow you to drill down into the data with interactive visualization. This way, you can quickly identify patterns and trends in your data.
The tool should allow you to create reports and visualizations based on the data. These reports and visualizations should be customizable, so you can tailor them to your specific needs.
Also see: IoT in Healthcare
IoT analytics provides the ability to collect data in real time from a variety of devices and sensors. This data can be used to gain insights into how these devices are being used as well as identify patterns and trends.
IoT analytics can help to improve decision-making by providing insights that would otherwise not be available. One example is data from IoT devices that can be used to predict demand, optimize production processes, or improve customer service.
IoT analytics can enable cost reduction by reducing the need for manual data collection and analysis. Additionally, IoT analytics can help organizations avoid potential problems before they occur, which can save both time and money.
IoT analytics can increase revenue by providing insights that can be used to create new products or services or improve existing ones. For example, data from IoT devices can be used to develop new marketing campaigns or target new customer segments.
IoT analytics can improve customer satisfaction by providing insights that can be used to improve the customer experience. A good example is data from IoT devices used to identify and resolve issues more quickly or provide personalized recommendations.
IoT analytics can enhance security by providing insights that can be used to identify potential security threats or vulnerabilities. For example, data from IoT devices used to monitor unusual activity or detect malicious behavior.
IoT analytics can increase competitiveness by providing insights that give organizations a competitive advantage. For instance, data from IoT devices can be used to develop new business models or strategies or enter new markets.
Also see: Guide to IoT Analytics: 7 Key Tips
We have reviewed five of the top IoT analytics providers, which we believe offer a strong combination of features and benefits for enterprises. For each tool, we provide a brief description, a list of features, pros and cons, and pricing information where available.
AWS IoT Analytics is a fully-managed service from Amazon Web Services that enables analysis of massive, sophisticated IoT data without the typical high cost and complexity normally required to build an IoT analytics platform.
AWS IoT Analytics is priced based on the volume of data processing, data storage, query execution, and custom analysis execution.
SAS Analytics for IoT is a powerful tool for businesses to make use of the high volumes of data generated by IoT devices. The platform uses a secure, flexible, and scalable artificial intelligence (AI)-embedded IoT Analytics platform that is easy to use and provides users with the ability to organize, visualize, and act on data quickly and efficiently.
This makes it an ideal solution for businesses of all sizes that want to make the most of their current IoT investments. SAS Analytics for IoT is also compelling for a variety of users, including line of business, engineering, IT, and data science professionals, due to its wide range of capabilities.
By extending the use of analytics and collaboration to the enterprise, SAS Analytics for IoT optimizes current IoT investments and provides businesses with a valuable tool for driving growth.
The vendor does not publish pricing information. Pricing is available on request, and customers can sign up for a free demo.
Oracle IoT Cloud Service helps you connect your devices to the cloud and manage them with ease. With this managed platform as a service (PaaS), Oracle takes care of all of the underlying infrastructure, so you can focus on your data and applications.
Oracle IoT Cloud Service provides real-time data analysis from your IoT devices, allowing you to make better-informed decisions. You can also easily integrate Oracle IoT data with enterprise applications, web services, and other Oracle Cloud services. Oracle’s IoT solution is reliable, scalable, and secure, making it a good choice for businesses of all sizes.
Oracle IoT Cloud Service is available through a pay-as-you-go subscription model. Actual pricing information is not published, but the vendor offers a cost estimator to help customers determine their potential costs. There is also a free trial available for those interested in trying out the platform before purchasing.
TrendMiner is a sophisticated IoT analytics solution that helps organizations make better use of their big industrial data. The platform is web-based and intuitive, making it easy for users to get up and running quickly. TrendMiner offers a self-service option, allowing users to access the platform without having to go through IT. The platform is available as a SaaS, on-premises, or private cloud solution.
TrendMiner’s plug-and-play feature adds value immediately, and its cross-site collaboration capabilities help organizations improve their overall performance. It is especially suited to process manufacturing companies in chemical, oil and gas, food and beverage, water and wastewater, and other industries where process data is important.
Finding the price for TrendMiner can be difficult, as the company doesn’t publicly list its pricing. However, you can request pricing from TrendMiner, or even request a demo of the product before making a decision.
The name is a portmanteau of “things” and “speak,” an acknowledgment that there are insights in the “Internet of Things” data, if we only listen with the right tools. ThingSpeak is the perfect way to monitor, visualize, and analyze live data streams. You can get data from your devices sent straight to ThingSpeak as well as send alerts.
It also includes MATLAB analytics and visualizations.
ThingSpeak is a flexible, extensible platform that allows you to store and analyze data from a variety of sensors and sources. The pricing for ThingSpeak is based on the number of channels required and on a count of messages to be processed and stored in a one-year period.
ThingSpeak capacity is bought in units, where one unit allows 33 million messages to be processed and stored in a one-year period (~90,000 messages/day). One unit, which is the standard license type, costs $675.00 USD per year.
Kihara Kimachia is a writer and digital marketing consultant with over a decade of experience covering issues in emerging technology and innovation. In addition to appearing regularly in Enterprise Networking Planet, his work has been published in many leading technology publications, including TechRepublic, eSecurity Planet, Server Watch, Channel Insider, IT Business Edge, and Enterprise Storage Forum.
Enterprise Networking Planet aims to educate and assist IT administrators in building strong network infrastructures for their enterprise companies. Enterprise Networking Planet contributors write about relevant and useful topics on the cutting edge of enterprise networking based on years of personal experience in the field.
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