A key factor that has contributed to the exponential growth of the shipping industry in the past few years is the advent of big data and its adoption in the field. Maritime data analytics is an integral application of this technology for shipping companies to use the information available from the vessels as well as external sources for a variety of purposes to enhance the practice. 

The trend so far was to manually sort and analyse the large volumes of data obtained from traditional sources like previously entered spreadsheets, employee intuition and so on. However, these processes are now streamlined and made easier with maritime data analytics which can offer insights from data obtained from traditional sources as well as unconventional data sets. 

Maritime data analytics is especially useful in this era of green shipping where more companies are attempting to embrace sustainable practices in day to day activities to eventually reduce carbon emissions. 

Let’s take a closer look at the many applications of maritime data analytics from start to finish and how it eases the overall workflow in the shipping industry. 

  1. Pre-construction for Shipbuilding

Using historical data from older vessels, improvements on ship design can be proposed using analytics to get an insight into the final design at a minimum spend. 

     2. Ship Operations

  • Data analytics proves to be a helpful tool in ensuring energy-saving operations by giving insights on fuel consumption to be environmentally conscious by charting out their correlation with optimum speed. This data is correlated with degrees of engine wear, maintenance, schedules and rates. 
  • Safety in operations is another factor that can be influenced by the use of maritime data analytics. 
  • Scheduling of routine maintenance operations is another process aided by maritime data analytics.

     3. Fleet Planning 

Getting fleet information to make more informed decisions using real-time data are aided greatly by maritime data analytics. An isolated instance of this type of maritime data analytics involves forecasting weather with a higher degree of accuracy for route mapping. 

   4. Business Enhancement 

An obvious benefit of maritime data analytics is that it adds value to the customer served but another, often overlooked, aspect is that it could serve as a tool to encourage business collaborations between shipowners. This would eventually lead to a more transparent shipping industry on the whole where all players can benefit greatly via the collaborative digital strategisations. 

In summary, maritime data analytics helps ensure operational efficiency, remaining in compliance with regulations and minimises long-term losses in the shipping industry with reliable predictive analysis.