Top HPE Vertica Use Cases for IoT Analytics:
Continuous monitoring of machine and sensor data help equipment manufacturers and service providers predict and address maintenance issues before they occur, unlocking new value for manufacturers and customers in the form of service cost reductions, new revenue opportunities, SLA adherence, operational efficiencies, reduced downtime, and more.
Sensor data from delivery trucks is helping businesses ensure driver safety, schedule preventive maintenance before mechanical issues can disrupt fleet operations, and enable intelligent route optimization to reduce fuel costs and emissions. Insurance companies use data generated from in-vehicle telematics sensors to offer drivers attractive rates based on the amount of driving they do in congested areas, their driving habits in terms of idling and braking, and even the relative location of their home and office.
Facilities personnel use monitors to gather data on building systems, including heating, ventilation, and air conditioning (HVAC) equipment. By analyzing this sensor data, engineering teams can control equipment across the building more efficiently, as well as anticipate and troubleshoot issues before they escalate to “hot” or “cold” calls.
Manufacturers use sensor data analytics to monitor the health and performance of their products and to work proactively to address service and maintenance issues before they lead to product downtime. Data collected on how customers are interacting with physical features also enables product management and engineering teams to analyze user behavior and experience for incorporation into future product development.
Smart Devices and Wearables
Manufacturers are embedding sensors into more consumer electronics to address a wide range of needs—everything from replenishing groceries in a refrigerator to optimizing the use of washing machines and stoves. Consumers are buying multiple wearable devices to track their daily steps, sleep patterns, heart rate, and more. As more data is collected from smart devices and wearables, data analytics can help uncover user-specific insights and value-added services.
Utilities are deploying digital, networked advanced metering infrastructure (AMI) to systematically track consumption and demand data across regions. Smart metering data helps to personalize customer experience and communication, analyze grid consumption and manage demand, and comply with new regulatory requirements.