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.
Find out how Philips is moving towards zero unplanned equipment downtime of medical imaging systems using remote monitoring and predictive analytics, powered by Vertica.
Top 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.
Sensor data from delivery trucks help businesses ensure driver safety, schedule maintenance before mechanical issues can disrupt fleet operations, and enable intelligent route optimization to reduce fuel costs and emissions.
Facilities personnel use monitors to gather data on building systems, including heating, ventilation, and air conditioning (HVAC) equipment to anticipate and troubleshoot issues before they escalate to “hot” or “cold” calls.
Data collected on how customers are interacting with physical features enables product management and engineering teams to analyze user behavior and experience for incorporation into future product development.
Smart Devices and Wearables
Product developers are embedding sensors into consumer electronics to uncover user-specific insights and value-added services across a wide range of needs—everything from smart appliances to fitness trackers.
Utilities are deploying digital, networked advanced metering infrastructure (AMI) to systematically track consumption and demand data across regions.
“Vertica is the data warehouse the market needed for 20 years, but didn’t have… It’s absolutely amazing. It’s game changing. People can sit at their desktops now, manipulate data, come up with new ideas and iterate without having to run a batch and go home.”
– Larry Lancaster, Founder and CTO, Zebrium
Suunto unlocks fitness coaching market with Big Data project
Required a high-performance database to ingest and analyze massive data volumes created by customers’ coaching solutions and enhance the user experience.
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.
- 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.
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