Meet Japanese Companies with Quality
Affordable & Efficient Big Data Analytics toor Inc. IP
Website: toor Inc.
Category: IT
toorPIA easily uncovers trends and outliers in big data that escape human data scientists
As digital data expands exponentially day by day, finding a meaningful, cost-effective way to analyze that data is essential to businesses worldwide. While the cost of hiring data scientists is prohibitive for many institutions, toor Inc.’s toorPIA data visualization software puts big data analysis within reach for everyone.
“Why isn’t big data being exploited effectively?” muses Tetsuya Kanada, COO of toor. “For the most part, it’s collected, but then wasted.” Indeed, making profitable sense out of big data can be a big headache for many businesses and organizations.
“Finding hidden correlating factors is essential,” Kanada says. “Without them, data is just scattered information.” But the skilled data scientists needed to find those correlations come at a cost, and it can take months for them to analyze the huge amounts of digital data being created every day. Kanada, along with toor CEO Yoshio Takaeda, dreams of making meaningful big data analytics affordable, and they’ve developed the software to do just that.
Patented Correlations
toorPIA is toor’s big data visualization software. It’s able to cluster, visualize and extract correlating factors in big data, making it easy to spot trends and outliers.
The backbone of this technology lies in three key patents toor holds in the U.S. and Japan. The principal patent deals with finding, extracting and mapping those essential hidden correlations, while the other two deal with the analysis of different kinds of data, including sensor data and real-time data. These key patents are supported by a further six patents in Japan.
COO Tetsuya Kanada at toor Inc.’s Tokyo office.
Data in Action
Applications for toorPIA are broad. It’s already being used by the Fukushima prefectural government to monitor road conditions via event data recorders in cars picking up vibration data. Fluctuation data and sound data can also be analyzed and mapped, with uses ranging from monitoring railway tracks for problems to monitoring tunnels and bridges for safety issues.
Real-time data analysis uses include insurance and credit card fraud analysis, where claims can be filtered as they’re submitted based on decided criteria, and log data analysis for failure prediction, where incoming data is compared to a baseline functioning level.
Overseas Analytics
Always striving to improve, Takaeda and Kanada spent part of fall 2016 in the U.S., attending TechCrunch Disrupt SF, an exhibition for entrepreneurs and investors, as well as receiving direct mentorship from U.S. tech firms through JETRO’s TechMatch initiative. They came out with a sharpened focus for toor’s expansion into the U.S. market: open innovation to allow their software to both reach users and develop, and collaborations with business intelligence (BI) software providers to provide consumers with an integrated package of BI software and data analytics capabilities.
With estimates suggesting the world will be home to 40 trillion gigabytes of digital data by 2020, the need for effective, efficient analysis is only going to increase – and toor is well poised to provide it.
Based on interview in October 2016
Website: toor Inc.
