With the rise of the Internet of Things (IoT), industries are awash in petabytes of Big Data from an increasing array of wired and wireless sensors. These sensor networks are continuously monitoring and reporting on everything from heart rates, to production flow, to turbine wear, creating opportunities for industries poised to take advantage of this wealth of data to reduce maintenance costs, predict equipment failures, and drive transformation in their business operations. We at dhiOmics helps the client to unlock value from their sensor and IoT data.
Equipment downtime can be costly, last-minute repairs are often difficult to schedule, and replacement parts may be difficult to find.
By leveraging IoT data analytics organization can predict when equipment is likely to need maintenance before it may be evident to operators, allowing the organization to proactively schedule preventative maintenance and repairs before a failure occurs to prevent costly equipment downtime and improve operational efficiency and productivity.
Sensor/IoT data is a rich information source that can be used to understand user behaviour, segment populations for targeted marketing, personalize customer interactions, and track product usage through log data.
dhiOmics has experience providing value for our clients by creating predictive models, helping visualize usage trends, and improving user experience. dhiOmics IoT data analytics solutions can enhance customer experience, reduce churn, and increase customer lifetime value.
Detecting anomalous behaviour or readings before a fault degrades user experience or leads to costly device failures is a big challenge for organizations all over the world.
IoT data analytics will provide the first line of defence in detecting an anomaly. Sensor readings unusual for normal operating conditions can trigger alerts and enable intervention by experienced technicians. This will enable the organization to prevent any unwanted events.