By 2020, some analysts predict there will be roughly 30 billion connected IoT devices – including refrigerators, racecars, robots and many other interesting items. From connected thermostats, coffee pots, medical devices, lighting, audio speakers, TVs, factories, buildings and remote controls nearly everything will have an IP address capable of transmitting data for analysis.
So, if one major retailer already generates 2.5 petabytes of data in an hour of transaction data – more than 167 times the amount of data stored in the Library of Congress – what will become of the data deluge? Should we simply wait for all of the yottabytes (1 trillion gigabytes) to show up in Bunblehive? Or maybe wait for data science unicorns and PhD statisticians to analyze and make sense of the ever-growing mountain data?
Of course not. Those who wait too long may not be in business tomorrow.
These four key trends are disrupting entire industries, and challenging the status quo:
To address these challenges, Tim Alosi of Sanofi stated that one of the big benefits will help the “compression of time” and allow organizations to act on the data sooner.
How Statistica 13.1 helps your organization
The latest version of Statistica provides your organization with several new features so you can more easily adapt to these trends. We’ll talk a bit more specifically about Statistica 13.1 in subsequent blogs. But, the key capabilities and enhancements of this newest version include:
Interested in learning more? Register now for our May 12th webcast about Statistica 13.1. to gain a deeper understanding of how this release will benefit your organization.
 IoT Analytics And Dell Statistica Deliver Time Compression. Gill Press, Forbes. April 15, 2016.