20+ cumulative experience and recently conducted industry survey have resulted in the development of an array of versatile, mouldable and agnostic solutions which filters data from various sources into valuable statistical data by performing real-time analysis.
IOTahead's IIoT Analytics Platform proposition comprises of sophisticated software tools which master the art of pooling operational data into a centralized cloud system for real-time monitoring & analysis & convert raw data into useful and actionable insights. Complex Industries & Enterprises churn enormous data in a raw format where manual analysis runs in contradiction with instant analysis. Our 20+ cumulative experience and recently conducted industry survey have resulted in the development of an array of versatile, mouldable and agnostic solutions which filters data from various sources into valuable statistical data by performing real-time analysis.
IoT data from various source points in any industry is highly unstructured which is difficult to analyze using traditional analytics and business intelligence tools. Further, the data points generating this unstructured data(e.g: temperature, fluid flow etc) are prone to noise which needs to be filtered before feeding them for analysis.
IOTahead is equipped with deep market understanding provides analytics platforms which avoid the above-mentioned pitfalls to provide an unparallel, highly accurate system adapt for huge amounts of data and seamless integration with various data points. We make sure the analytics platform is adapt to interruptive synchronization and power outages to make the data flow secure from external elements. With our platforms, data can be transformed and processed by using mathematical formulas before data is analyzed by running queries using built-in SQL query engine. Our solution supports the collection of data from multiple configurable devices which can be further enriched with data-specific metadata such as device type and location.
IOTahead's IIoT Analytics Platform specializes in:
Single Pool Points: All the data is pooled and computed in a centralized cloud-enabled server infrastructure which can be remotely accessed.
Data visualization frameworks: The computed and analyzed data is presented in a structured format with supporting graphs and trend charts for easy interpretation.
Streaming Data/ Live data: The real-time data analysis is available and accessible at all times through our interactive design user interface.