Data is one of the essential components that determines the success of a company regardless of the industry it operates. This is precisely the reason the transport industry is banking on it to propel its operations to the next level. One of the subsectors that has taken advantage of data is train transport that’s using it to ensure trains stay on time and operate safely. In the Netherlands for instance, big data analytics is doing an amazing job in the management of trains and railways. The country has in the past faced numerous challenges such as lateness, overheating of trains, freezing of switches and other maintenance problems.

The number of data centers is expected to soar in the next several years. The global data center market is estimated to reach revenues of around $174 billion by 2023. Yet, data centers are in the spotlight over their carbon footprint. The growing number of these facilities and their increasing electricity demands strains power generation resources and grid infrastructure.

As digital transformation continues gaining momentum, a new generation of companies that depend on data is also emerging. Regardless of the industry that these organizations fall into, they are now embracing new applications that rely on distributed data for production and enhanced efficiency. As these organizations continue embracing big data technologies and the Internet of Things (IoT), that are necessary for consumer analytics, fraud prevention and marketing, new applications that address these needs keep emerging. This calls for radically new methods of dealing with large volumes of data in real-time.

Big data is the leading buzzword among businesses and government agencies nowadays. No matter the industry in that a company operates, data is a vital resource that is changing the economic landscape. In government agencies, big data has helped avail information that can be used to in governance issues, inclusivity and to build sustainability. For a comprehensive agenda to be established, the economic and environmental data needs to be collected and analyzed to show patterns.