Custom Business Intelligence solution for a global maritime company

Shipping companies have to deal with multiple regulations seeking to reduce the environmental footprint of vessel operations and achieve cost-effectiveness.

The insights from data can make businesses hyperaware of their efforts and give them actionable steps to improve various strategies. Basing decisions on inaccurate data can have far-reaching negative consequences, so it’s crucially important to be able to trust your own data collection procedures and abilities. By ensuring accurate data collection, business professionals, especially in such industries as the maritime industry, can feel secure in their business decisions.

This is where Wallenius Marine, a Swedish shipping company, decided to strategically move by developing its own Business Intelligence solution to improve reporting and analysis.


Wallenius Marine operates around 125 vessels servicing 15 trade routes to six continents, a global inland distribution network, 66 processing centres and eight marine terminals. The significant impact on the global environment due to the emissions from the operations, as well as operating cost optimisation, plays a significant role here.

At that time, the company, working with huge amounts of data, needed a custom solution to ensure they gathered all crucial data to support reliable and accurate decision-making. Furthermore, high fuel expenses in the shipping industry have always been a challenge. So, the limited reporting tool or reports based on Excel files is not an option for such types of companies.

Therefore, Wallenius Marine turned to Baltic Amadeus with a need for reliable reporting and analysis solution.



After in-depth analysis, Baltic Amadeus has proposed implementing a Data Warehouse (DWH) and custom Business Intelligence (BI) solution.

The custom and brand-new reporting and analysis tool was aligned with multiple variables critical for fuel consumption optimisation: weather data retrieved from hydrometeorological stations, vessel voyage and route data, and raw data from sensors placed on vessels. The tool combined raw vessel data with voyage and weather data, which was accumulated and later presented in BI for analysis. Finally, based on the developed data analytics model, effective vessel performance monitoring and preventive maintenance were achieved, too.

Also, Baltic Amadeus implemented the advanced role-based access control mechanism. It involved setting permissions and privileges to enable access to only authorised users to monitor and analyse data of vessels they were operating.

Finally, all gathered data could be processed, stored, managed, analysed, and visualised to aid the client’s decision-making process.

Added value

With the new BI analysis and reporting tool, decision-makers can independently execute situation and discovery analysis. The gathered data is displayed via a user-friendly dashboard, enabling users to drill down on the chosen field. Also, the dashboard provides an at-a-glance method of visualising large amounts of data supplied via charts and graphs summarising the data and pivot tables for in-depth analysis.

This technology-powered flexibility extended with data-driven prediction models enables the client to identify possible operational risks ahead of time and provide fleet maintenance, e.g. extensive dry docking for the hull and propeller maintenance, right on time. All it ensures is effective and reliable shipping services.


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