In several industries with high-complexity, interdependent processes such as manufacturing, utilities, transportation, industrial automation, telecom, government, healthcare and consumer goods, professional technology operators concur that vital data required for decision-making is only available at a time-lag, diminishing the value of data. A real-time, high-availability, self-serve IoT Analytics platform enables business and functional users to transform IoT data into timely knowledge. Utilizing integrated real-time monitoring and predictive advanced analytics, users can analyze, predict / forecast and act upon the rich insights provided by their IoT data.
Merging Data Analytics and IoT will Positively Impact Businesses by enhancing productivity, IOTA boost employee productivity, better resource utilization and operational efficiency.
IoT Analytics offers better utilization of resources with real-time analytics, thus reducing unit cost of production.
IoT Analytics can enable business collect and process historical industrial data (data lake) to enable building custom-models to predict target objective functions.
IoT Analytics provides real-time analytics to help detect process gaps and anomalies and take remedial or proactive actions.