The Importance of Predictive Analytics

September 29, 2016

Takeaways

Sealed Air is harnessing the power of big data to reducing food waste, increasing productivity and more

Editor's Note: this blog was originally published here: http://bit.ly/2c0wlD7

Predictive analytics and the use of big data aren’t necessarily new concepts. Scientists, business leaders, even government agencies, have scrutinized and studied their fields to better serve their client or bottom line for decades.

Today, the struggle is not gathering massive amounts of data; it’s harnessing that data into meaningful and useful information to make our customers succeed. That is the key to business success and exactly why Sealed Air is no longer in the packaging and hygiene business. We are in the knowledge business.

We know that reducing food waste, increasing productivity in the food supply chain, protecting the movement of goods, and improving global hygiene are essential, and we’re using predictive analytics and big data to solve these resource challenges to create a better way for life. And by combining cutting-edge technology with sophisticated analysis and insight, we will directly impact our customers’ bottom lines.

Recently, we acquired a new company whose services will strengthen our ability to further save resources for our customers. In the case of TTS-Ciptec’s technology, we’ll better optimize brewing, beverage, and dairy companies through predictive analytics tracking and remote monitoring. Additionally, we’ve launched the Internet of Clean, which has already begun revolutionizing the cleaning and hygiene industry. Our new platform connects machines, dispensers, sensors, and beacons to increase operational efficiencies and improve productivity and safety. Furthermore, we’re working on integrated solutions to solve many of the greatest packaging and shipping issues to better assess risk, forecast future scenarios, and improve our internal operations.

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