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THOUGHT LEADERSHIP
BIG

INSIGHT

BEATS

By Steen Brodsgaard Lund, Vice

IGDATAPresident and Regional Manager

South East Asia and India, DNV GL

B
ig Data has become fashionable in We need more transparency But is there a risk that new schemes for

the maritime industry. But is it trueThere is a clear trend in our industry monitoring and reporting will sufocate the
that everyone talks about it but towards more monitoring and data-based shipping industry, adding more costs and

nobody really knows how to do it? Big Data decision making. In our dialogue with increasing the administrative burden ? Not

is popularly deined as involving data sets stakeholders we are often met with the necessarily. Intelligent schemes may pay

so large or complex that traditional data request: “We need more transparency”. for themselves and more, reducing costs
26 |processing applications are inadequate, but Whether for operational, or inancial and opening new revenue opportunities.

it often refers simply to the use of predictive improvements, or for proof of compliance, And they will involve Big Data.

analytics or certain other advanced both from within the shipping industry and
methods to extract value from data. It by regulators.We want more insight, not

seems we know it involves large amounts of The introduction of the SEEMP (Ship more data

data, from which we extract some hidden Energy Eiciency Management Plan)Sensor technologies and ship to shore
added value. But let’s have a closer look at and MRV (Monitoring, Reporting and connectivity are growing exponentially,

what most of us are interested in, namely Veriication) regulations have also fuelled while sensor miniaturization has made

that added value and how to get it.this demand for better monitoring.sensor and databased strategies much

more afordable. Over the last ten years,
average sensor costs fell roughly by 50%.

Over the same time period, maritime

satellite communication capacity has
doubled every two years, enabling the

lood of data from these sensors to be

transmitted to shore.
But data is not information, even when

LEFT: Fig. 1: DNV GL’s ECO Insight was aptly
named – It aims for Big Insight rather than

“just” Big Data, combining information fusion
approaches with advanced analytics and
imbedded expert knowledge

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