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.

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.

See why more intelligent device manufacturers are turning to Vertica to manage and analyze large volumes of IoT data for predictive maintenance solutions.

 

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Top 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.

Suunto unlocks fitness coaching market with Big Data project

The Challenge:

Required a high-performance database to ingest and analyze massive data volumes created by customers’ coaching solutions and enhance the user experience.

The Solution:

The Vertica Analytics Platform. A highly scalable column-oriented relational database that handles modern analytic workloads with high-performance query analytics functionality. The advanced analytics solution drives all features of Suunto’s movescount.com application.

The Result:

  • Manages and analyzes massive data volumes rapidly and reliably via a highly structured database, eliminating the limitations of traditional data warehouse technology.
  • Constantly updates the data pool, generating highly accurate progress and performance information to users.
  • Boosts brand awareness and enhances the user experience substantially, delivering a competitive edge in a highly aggressive market.

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With Vertica in place, we’ve the ability to build a comprehensive understanding of each individual runner or cyclist and how they progress over time. This capability gives us a considerable competitive edge.

  • - Janne Kallio, performance business digital leader, Suunto