Flexibly and securely ingest IoT data from any connected device or machine, correlate data from multiple data sources, and act on custom insights and applications.

Treasure Data IoT Analytics Platform

Treasure Data IoT Diagram

Simple

Transport your IoT data from any data source to any output destination without the need for specialized IT staff.

Smart

Wrangle IoT data to achieve distinct and clear understandings from the massive IoT complexity giving you unlimited opportunities for competitive advantage.

Secure

Secure your IoT end-to-end data pipeline with encryption both at rest and while streaming; and know that you control permissions and access to that data.

Scalable

Gain unprecedented insights by communicating the right IoT data to the right systems and people with the speed to impact decisions in real-time.

Use Cases

Telematics

A multinational maker of digital products needed to reliably collect IoT data from hundreds of thousands of vehicles worldwide in order to develop new products for an emerging market . Pertinent IoT data included systems for telecommunications, vehicular technologies, road transportation, road safety, and electrical engineering.  A flexible, scalable solution was needed to unite a large quantity of different data types that were unrelated at the time of collection and would change regularly.

IoT Use Case - Telematics

By deploying Treasure Data’s as-a-service platform for IoT, this company:

  • Developed new lines of business including a consumption-based auto insurance.
  • Improved profitability by using machine learning to identify at-risk drivers.
  • Grew scale to 2.5 billion events each month with no additional overhead.
  • Gained a flexible IoT infrastructure able to be ported to data centers globally.
  • Experienced 25-50x ROI.

Wearables

IoT Usecase Wearables

A top 5 consumer wearables company experienced an explosive growth in their product adoption but had limited insight into usage of devices and point-of-sale IoT data. Intense competition in this market demanded innovation and fast time-to-market of consumer-driven new products, features and sales channels. The data science team needed to not only collect usage data but combine it with third party retail point-of-sale, user support and inventory management data in order to deliver the IoT insight demanded to drive market strategy and product development.

By using Treasure Data as the core platform for IoT analytics and data science, this company:

  • Created a real-time usage tracking dashboard that reduced time to insight from days to minutes.
  • Discovered consumer usage patterns, leading to the development of sleep tracking capabilities.
  • Correlated IoT data with point-of-sale data to identify new marketing and channel opportunities.
  • Developed two-way IoT communication to deliver personalized reports and insights to their millions of users.

Industrial IoT

A Forbes Global 2000, heavy industry equipment company saw an opportunity to reduce maintenance costs by leveraging sensor data produced by wind turbines. Unlike modern consumer IoT devices, the wind turbines relied on a legacy system to transport sensor data to external systems, requiring a data management platform with robust, secure data collection and streaming support.

IoT Use Case - Industrial

By using Treasure Data as the core platform for IoT analytics and data science, this company:

  • Experienced scale and speed to collect and unify 30 billion sensor data events across 3,000 wind turbines on an hourly basis.
  • Gained the flexibility to monitored the health of the turbines with granularity using their preferred dashboarding tools.
  • Saved millions of dollars in maintenance by analyzing data with advanced machine learning techniques to predict anomalies and identify preventative maintenance for improved performance.