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RISK variable quality of 3rd party providers, al- lowing us to aggregate data across numerous sources and to create a single ‘golden record’ that is updated in real time.”

According to Norman, the model works. “A vessel with a 1 star rating in 2015 was 20 times more likely to have an incident than a vessel with a 5 star rating. This predictive model is ? uid, and we have the capacity to continuously improve it; however customers can be con? dent that it works.”

Despite the dif? culty in predicting the hu- man element, RightShip records show that in terms of the top ? ve reasons that vessels are turned down for charter, the Crew Matrix ranks right up there with an Unsatisfactory

SIRE report, Age of the Vessel, PSC actions and/or Environmental Sustainability (or lack thereof). But, he cautions, “There is a blurred line between vessel risk and the hu- man element. When the latter is not explic- itly measured, we ? nd that PSC and DOC reports are often a mask or proxy for crew experience (or lack thereof) as issues will often be uncovered in this process.”

F M IVE INUTES WITH

S T US CHELL RADING OMPANY

On the front lines in the battle to ensure that the world’s merchant ? eet and in partic- ular, its oil tankers are run to the safest stan-

Shell dard possible, it is likely that no one entity

The assumption is that experience is aligned with competence has more at stake than Shell Trading US Company. At the tip – which is often the case, but not always so. As well as privacy of that spear is (Captain) Tim Gaughan, Shell’s General Man- laws, more general issues surrounding the privacy of individu- ager of Maritime Talent. Long before he was tasked with ? nd- als need to be factored in here too, adding to the complexity.” ing the best and the brightest for Shell, he’s done just about

This year, RightShip is introducing the next generation every job that he recruits for. Most importantly, Gaughan, ? rst vetting tool, RightShip Qi. Pronounced ‘key’ – and an acro- and foremost, knows risk. nym for Quality Index – RightShip Qi is all about improving

A graduate of SUNY Maritime College and from St. John’s maritime safety and ef? ciency. According RightShip, the new

University in New York with an MBA in Executive Management, system harnesses ‘big data,’ predictive analytics and real-time he has been with Shell for over 26 years and joined the company risk assessments to better target substandard maritime per- after completing a 13-year seagoing career working aboard crude, formance. Vast quantities of ever-changing data are analyzed product and chemical carriers, ultimately sailing Master for three by sophisticated algorithms to spot patterns and draw conclu- years. Along the way, he held marine technical, operations, and sions from data sets too large, diverse and dynamic for analy- commercial positions within Shell Oil Company in Houston, and sis with previous technology. then, overseas. Those roles have taken him from London to The

The newest version of RightShip – Qi has moved from an

Hague, into Nigeria and ? nally back to Houston in 2012.

expert-opinion model (SVIS) to a predictive model (Qi). War-

Gaughan describes the reach of his domain, saying, “We wick explains, “Previously we utilized multiple data feeds have about 3,500 seafarers on our operated vessels that are from different providers, however now we are managing it all managed out of our Shell Ship Management Limited (SSML) in-house through our own data warehouse. This eliminates the of? ce in the Isle of Man, UK. Currently, we have about 500 56 Maritime Logistics Professional 3Q 2016 | | 50-63 Q3 MP2016.indd 56 8/17/2016 10:28:32 AM