With the route systems and telematics around drivers, data analytics helps us to be more safe, green, and efficient.

- Steven John, Chief Information Officer, AmeriPride

Within a few years, the “IoT” is projected to include millions, if not billions, of connected devices, generating an unfathomable amount of sensor data.

With emerging, real-world use cases—such as predictive maintenance, smart metering, telemedicine, and usage-based insurance—forward-looking enterprises and equipment manufacturers are reducing costs, improving customer satisfaction, and creating new business models based on the inherent value of information. All of these use cases are driven by analyzing terabytes to petabytes of data collected from sensors and Machine to Machine (M2M) communications.

To capitalize on this emerging mega trend, your organization must do more than simply collect massive amounts of sensor data in, say, Hadoop. Your success with these new business models hinges on your ability to leverage a proven and massively scalable Big Data SQL analytics platform that stores and analyzes volumes of sensor data at extreme scale to become a data-driven organization.

Top HPE Vertica Use Cases for IoT Analytics:

Predictive Maintenance

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.

Vehicle Telematics

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.

Smart Buildings

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.

Product Monitoring

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.

Smart Metering

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.

Conservation International is helping improve global biodiversity with HPE Vertica

The Challenge:

  • Understanding and protecting dwindling animal species
  • Difficulty deriving finer scale measurements of biodiversity within the forest
  • Analyzing more than 8 million climate measurements with continual data curation

The Solution:

  • Leverage data from climate sensors to have deeper, data-driven conversations with key stakeholders and enable scientists to identify and proactively respond to threats as they emerge with HPE Vertica

The Result:

  • Generating species trends and reports on the related impacts of climate, people, and land use in 16 countries and more than 261 species within 30 hours, 9 times faster than before

Read the Full Case Study

Our partnership with HPE is enabling us to have deeper insights into our data. It is really enabling us to execute our mission by shining a light on the trends of tropical forest wildlife that we can share with protected area managers. Vertica is the cornerstone of the analytics system we have developed together.

- Eric Fegraus, Director of Technology, CI

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