Unlocking the Value of Time-Patterns

Many senior executives understand the business value of condition based maintenance (CBM) and have heavily invested in sensors. However, due to complex nature of statistical analytics and monitoring approaches, their teams struggle to determine whether this approach generate enough value or if there are better alternatives. Trendalyze is a unique highly scalable platform for Industrial IoT sensor data and other types of time series analytics that enable CBM. Like Google, it leverages pattern matching algorithms to identify and search continuously for anomalies and other trends in time-series data generated by sensors and alert engineers to take the necessary actions. The new search based approach makes it extremely useful and intuitive to engineers and other professionals who want to analyse and monitor the performance of various smart devices and equipment. It eliminates the dependence on data scientists and the need for complex statistical modelling. Thus, it lowers the cost and time to implement successfully CBM.

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