Suunto

Solution

In 2010, Suunto launched Suunto Moves count, an indigenous cloud solution that connects to a range of Suunto devices.

After Suunto customers had stored several years of tracked data into Moves count, the company sought a technology to analyze the massive data volume. The goal of the project was to build a data analysis setup that analyzes, stores, groups and feeds back the data to downstream systems via the Representational State Transfer (ReST) architecture in real­ time. The database continues to grow every time somebody runs a Suunto connected product.

Suunto opened the discussion with OpenText (formerly Micro Focus) by asking how it should tackle this vision of Big Data based training insights. “When we embarked on this Big Data journey we adopted a completely open mindset as we knew the data would lead to the solution,” says Kallio.

“HPE Software (acquired by Micro Focus, now OpenText) and Eficode had a similar open attitude and we liked how Vertica (now OpenText) fitted into the equation. It adopted a bold approach by saying its solution could do all the things we wanted. And it certainly does. It’s extremely fast and readily processes the vast amount of data generated by our devices every time there’s a new training session.”

The OpenText™ Vertica Analytics Platform is a highly scalable column orientated 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, with millions of training sessions entering the system weekly.

“With the data stored in Vertica (now OpenText), we easily pull out current facts about how people are training and hundreds of thousands of people now benefit from the tools we provide based on this Big Data analysis,” reveals Kallio. “Analysis has yielded one billion data points and, as the database grows, it becomes increasingly accurate, leading to better training feedback.

Results

Today, with the help and support of Eficode, Suunto runs the Vertica Analytics Platform to deliver a multichannel experience to users over watches, mobile applications and the movescount.com website.

Users log into the site and they can compare their performance instantly against peers, creating virtual competitions. The company’s database currently contains details about more than a hundred million sports exercise sessions, which it has analyzed to create new value for users.

“Customers want to know whether they’re making progress with their fitness regime or how good they are performing against other users. We’re using Big Data to help them train more effectively,” continues Kallio. “Instead of using a coach or research to understand physiology, we’re analyzing customer data from every exercise session.

“For long distance triathlon athletes like me, trying to understand how to get faster is very important. This usually involves conducting performance checks such as lactic acid threshold testing while running,” states Kallio. “With our coaching solutions and software technology, testing is no longer necessary as athletes gain an all embracing view of each training session.”

Suunto also employed the platform to support the launch of the next generation Suunto Spartan product range. Research suggests that the market expectation is huge for these new coaching solutions as they will readily satisfy customer expectations and enhance the user experience by delivering additional value.

The cost-effective software analytical database also helped Suunto to resolve several cloud service challenges. The data analysis supports the many different types of device across a wide range of users providing a level of quality and the ability of offering the features 24/7 globally.

“With Vertica (now OpenText) 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,” concludes Kallio.

With the data stored in Vertica (now OpenText), we easily pull out current facts about how people are training and hundreds of thousands of people now benefit from the tools we provide based on this Big Data analysis.