Vanessa C. DiDomenico, Karen H. Shin, and Sharon R. Klein



Big data is not a “trend” or fad; big data is a concept of gathering, deciphering, and analyzing massive quantities of information to ultimately reveal patterns and associations, and it’s here to stay. Companies have proven how useful it can be to interpret performance trends to expose areas of vulnerability or underperformance within a company. Big data can be used to make strategic decisions within a company’s operating profile. In particular, the maritime industry is using big data to revolutionize the way engine performance and maintenance is carried out aboard vessels. Understanding how to effectively capture data—and the risks involved—will enable users to apply big data in ways never considered before.
The Value of Big Data
The maritime industry has progressed at a moderately stable speed with various innovations to proven mechanical systems, such as energy reducing pumps and updated models of equipment; however, compared to other industries it is decades behind digitally. To capitalize on the benefits of big-data technology, maritime companies must define the goals they will achieve, such as reducing fuel consumption. By clearly defining a goal, systems can be constructed to deliver the required data points.
Once the goals are defined, sensors and instruments can be installed onboard to capture new data points that, when spliced with existing readings already extracted from the vessel’s automation, such as weather patterns and engine load signals, create interconnected data ecosystems that can be used to examine performance.
Continue reading “Sensor Ships: Managing Big Data Generated in the Maritime World”