Improving Asset Utilization With Pathway – Combining IoT Data With Real Time Data Processing
Pathway explores how combining IoT data with real time data processing can help companies improve their asset utilization.
Asset utilization is becoming increasingly important as organizations strive to optimize their operations, reduce capital expenditure, and maximize their efficiency, especially in today’s economic context. With the emergence of IoT, asset utilization can be improved by connecting physical assets (vessels, trucks, containers, grids, equipment, etc.) to the Internet, gathering data, and using real-time analytics to inform decisions.
This white paper discusses how real-time IoT data processing can improve asset utilization and offers best practices to achieve this goal, from identifying assets to monitor, to making data-driven decisions based on analytics and predictive analytics in real-time. Pathway with its reactive data processing framework that lets users build real-time data products, provides adequate tooling. Specifically, Pathway Logistics App – the lighthouse data product built in the Pathway framework – provides immediately actionable insights on top of asset data, including IoT data and status data.
You will learn about leveraging real-time data processing to improve asset utilization, despite low quality or sparse data that you may have. You will also read about use cases with some of Pathway’s Enterprise clients such as La Poste, on how they use Pathway to optimize their asset utilization, and answer some crucial questions that have a direct impact on their bottom line and generate significant cost savings. Notably, thanks to Pathway, business users such as the Transportation & Flows Project Leader at La Poste were able to demonstrate how they could optimize their equipment spending, and align capital expenditure with the actual needs of the company.