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Why 'Planes, Trains And Automobiles' Are Chasing Big Data

Forbes Technology Council
POST WRITTEN BY
Peter Platzer

Our company was founded in 2012 in San Francisco by three close friends who shared a dream. It’s unthinkable, but only in April, we celebrated the milestone of launching our 100th LEMUR satellite . Now, hardly a day goes by that I’m not asked: “How has your industry grown at such an accelerated pace over such a short period of time?”

The short answer is data.

Big data can organically grow more efficient operations at a rapid pace. It can also be instrumental in how companies achieve and sustain lower operational costs. These methods can expedite and encourage how your company creates a more data-centric process while growing with scalability. If we examine the ways in which business leaders are leveraging data and analytics (and the innovative ways it is obtained), we can understand how growth is a direct result. With that in mind, here are four industries that are using big data in new ways:

Aviation/Aerospace

We are seeing a new demand for all kinds of big data across many areas in aviation that can affect how a business grows. Today, data impacts every single plane that flies in the sky. According to researchers at the Amrita School of Engineering in India, the average transatlantic flight generates about 1,000 gigabytes of data. From plane routes to fuel consumption, data is feeding new progress in this industry.

Maritime

Both transportation and logistics companies have recognized for some time that previously unavailable data is critical to the maritime industry, and we see many others following suit. Two years ago, German company SecureSystem GmbH announced the launch of its U.S. subsidiary to bring smart container technology to North America. The company's technology provides "real-time monitoring of a container’s location, internal conditions, and physical integrity anywhere around the world."

Government

Government agencies are using big data in fraud detection, education initiatives and healthcare research. They are powered by new data sources to assure a parity of progress with and partnerships with commercial entities. Our company has worked to build a customer solution based on the rising demand for the operational provision of space-based data -- a new type of predictive data to help government agencies. And San Francisco-based Earth imaging company Planet Labs is teaming up with the state of California to "develop and eventually launch a satellite capable of detecting the 'point source' of climate pollutants, monitoring leaks and other anomalies at specific locations."

Weather And Climate

In the next five years, climate will be considered one of the most important issues facing businesses in terms of business forecasting success and preventive preparation. As the CEO of a company whose focus is on providing space-based weather data, I've seen firsthand how corporations are struggling to adapt to extreme and more frequent weather events. Global business is witnessing how climate change is pressing its way into the balance sheets and minds of CEOs. Google Earth is a great example of how big data can be used to inform businesses about weather changes. The National Ecological Observatory Network has also used big data to track carbon storage levels in deep soil.

The Big Data Imperative

Now imagine you had access to this information before anyone else.

Helen Keller said, “Walking with a friend in the dark is better than walking alone in the light." Big data is that illuminating friend. There is always a definitive business advantage when you provide data no one else has. We simply want businesses to realize the real first-mover advantage of acquiring and using reliable, predictive big data. You can succeed by simply being among the first companies in your particular market to provide a data set of previously inaccessible, actionable, information.

We prescribe to the religion of Daniel Keys Moran, a noted programmer and science fiction author in terms of describing our sector’s organic growth: "You can have data without information, but you cannot have information without data."

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