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Memfault, the developer of the embedded device observability platform, has announced the launch of Product Analytics.
This is, according to the company, a powerful new feature set that’s been designed to deliver deep insights into internet of things (IoT) device performance and usage.
Memfault’s Product Analytics will help businesses to make informed decisions by providing a complete picture of how devices are used and performing in real-world environments.
By 2030, the number of IoT devices worldwide is projected to surpass 29 billion, doubling since 2020 but despite the exponential growth of connected devices driven by software across various industries, the technology needed to monitor and improve user experience has not kept pace. In fact, obtaining targeted insights into the usage and functionality of connected devices that are in the hands of users has been a complex and time-consuming process that delivers less than optimal results.
Teams are required to either adapt solutions designed for mobile or cloud-based applications or build custom solutions from scratch. In response, Memfault has developed an analytics solution tailored specifically for IoT companies.
Memfault’s Product Analytics, an add-on to the current Memfault observability platform, can be integrated into an existing fleet regardless of the development stage – even working with mature devices already in the field. It provides a level of granularity that allows product managers and engineers to identify popular features, understand the performance of each individual feature, and cut out wasted functions that can impact cost and waste time.
“IoT devices often lack direct user interaction and are deployed in diverse environments leaving product managers and engineers with limited insight into usage and functionality,” said François Baldassari, CEO of Memfault. “Memfault’s Product Analytics empowers product managers to get a complete picture of product performance and usage, while engineers get a better understanding of how devices operate in the real world. With this data, it’s easier to optimise product strategies for current and future product iterations.”
Key Features of Product Analytics include:
This analysis can be applied across an entire fleet, specific segments, or even individual devices, providing granular visibility into feature utilisation and impact.
According to a recent Memfault survey, 60 percent of users reported only regularly using 75 percent of their devices’ capabilities. To optimise productivity, product managers and engineers can allocate time and money to areas with the greatest impact.
“Our goal is to provide our customers with better data so they can make better decisions,” explained Baldassari. “With Product Analytics, our customers can achieve unparalleled insights into their IoT devices, driving more reliable products, better customer experiences, and more efficient teams and processes.”
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