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Product performance intelligence challenges in Big Data analytics

by Siemens Dreamer Siemens Dreamer ‎05-23-2016 02:32 PM - edited ‎05-23-2016 02:33 PM

Companies are dealing with an explosion of data stemming from the Internet of Things (IoT) and all of its variants. It’s become incredibly difficult to gain useful, actionable insight from that data, so what options do companies have?

In this series on gaining product performance intelligence from Big Data, Bill Boswell looks at the best way companies can address these challenges and how Siemens PLM is a valuable partner to help companies overcome those challenges.

How can Big Data analytics address the explosion of IoT data?

We understand automation. We understand the IoT. And we understand product lifecycle management. With this first-hand knowledge and experience, we are now applying Big Data analytics in new and exciting ways that only a few companies in the world can dream of doing.

 

Everybody agrees that the IoT world is growing fast, but estimates vary on just how fast. The amount of available sensor data is exploding as more things connect: pets, cars, buses, toilets, jet engines, wearable fitness and health devices and even cows [1].

 

By 2020, Gartner predicts that the estimated number of connected devices on Earth will be between 26 billion to 50 billion. Earth's population currently sits at 7.3 billion. How many connected devices will every person on the planet have?By 2020, estimates for connected devices range between 26 billion and 50 billion. How will companies harness all of that Big Data?By 2020, estimates for connected devices range between 26 billion and 50 billion. How will companies harness all of that Big Data?By 2020, estimates for connected devices range between 26 billion and 50 billion. How will companies harness all of that Big Data?

And it isn’t just the number of connected devices. Data of all kinds is growing. According to IDC, there will be as much data IoT alone produces by 2025 as there was total data in the world in 2013. We need new tools and techniques to deal with this volume of data. 

 

Head over to the Digital Transformations blog to read Bill's entire post.

 

[1] http://venturebeat.com/2014/03/24/cow-computing-scottish-company-creates-wearable-sensors-for-cows/

 

About the author:
Bill Boswell is senior director of cloud services marketing and business strategy for Siemens PLM Software, focusing on delivering PLM solutions in the cloud and the Omneo big-data analytics software as a service solution. From 2011 to 2015, Boswell was senior director of Partner Strategy. He directed go-to-market strategy for Siemens PLM Software global consulting and systems integration partners, more than 500 software and technology partners and thousands of GO PLM global academic partners. From 2004 to 2011, he led worldwide product marketing for the Teamcenter product line, which became the world's most widely-used PLM portfolio. Prior to joining Siemens, he was chief technology officer and vice president of Solutions Development and Delivery for E-Markets, Inc.