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Improve Big Data Analytics to Improve Product Performance Intelligence

Siemens Dreamer Siemens Dreamer
Siemens Dreamer

This is a snippet of part one of a three part series to improve Big Data analytics by Bill Boswell, Senior Director, Marketing and Business Strategy, Cloud Services. In part two, Bill discusses how Big Data analytics gives companies the power to harness the data explosion from the Internet of Things and the Siemens PLM Big Data analytics solution.


Throughout history, humans have built tools to observe processes and to find context and meaning. Consider Stonehenge. 

Archaeologists believe Stonehenge was built between 3,000 BC and 2,000 BC. Some popular theories identify Stonehenge as an ancient observatory to mark midsummer [1]. Recent theories suggest it was used year-round and for predicting solar and lunar eclipses.

Stonehenge provides a good metaphor for the state of business intelligence (BI) today in many companies. These companies have primitive, obsolete tools few people understand how to use, and there’s a central place to go to seek information rather than being able to independently find it.

Companies that still rely on standard reports, spreadsheets and intuition live in a place like Stonehenge. Maybe that’s where their old, failed internal IT projects also end up going to die.

Unless you’ve been living under one of the rocks at Stonehenge, you know that Big Data and the Internet of Things (IoT) are hot topics. You’ll also hear about the Industrial Internet of Things (IIoT) where machines in a factory talk to each other. And if IoT wasn’t broad enough, we now have the Internet of Everything (IoE).

The Harvard Business Review has written cover stories on these trends that accurately capture the challenges and opportunities Big Data and IoE present to companies. How do you get control over Big Data in business? And how will smart, connected products transform your business?

The answers lie in the latest industrial revolution. Every industrial revolution has driven an increase in complexity and an increase in the amount of knowledge needed. From steam-powered machines in the first industrial revolution [2] into the mass production, division of labor and electrification during the second industrial revolution [3], complexity increased, and so did the skills the workers needed.


Siemens PLM Big Data analytics 1


Head over to the Siemens PLM Corporate blog to read the rest of Bill's post and learn what  Angela Merkel, Chancellor of Germany, saw  first-hand when she visited the Siemens Amberg facility in early 2015.