In 1956, the first standard shipping container was invented. Since then, containerization has revolutionized trade by changing the way transportation, shipping, loading and unloading of goods is done. Now shipping is transporting approximately 90% of the world's cargo. It is fair to believe that this invention gave globalization one of the biggest pushes.
With the development of connectivity and digitalization, the maritime industry has become a data rich sector, and is once again at the cusp of a new era. Operational intelligence bridges the gap between technology and business model innovation. With operational intelligence, shipping companies can use it to improve performance, visibility, safety and cost-control for their fleet.
Operational Intelligence is a way to convert big data into smart data. It works with a combination of in-memory computing and parallel real-time data analyses with the purpose of delivering visibility and insight into business operations. This allows companies to access performance metrics in real-time, analyze problems, identify solutions, and show the future prediction. For example, when a worker inspects the condition of a cargo hold, machine vision can give direct feedback on the percentage of rust within a certain area. This feedback directly informs his next course of action: Is there maintenance work required or not? Is it safe to load a certain type of cargo? Further assistance can be provided from shore, where this information is directly related to voyage plans and fleet availability.
To get started with Operational Intelligence, it is required to have sufficient data and to understand what the data looks like - what is being generated, where it’s being stored and how it is currently being analyzed. After the proper data cleanup and identifying metrics, operational intelligence then is able to perform analysis based on data pool without further modeling. For example, anomalies or trends can be displayed live with just a click.
Traditionally, Operational Intelligence depended on the use and aggregation of data stored in data warehouses to create analytics on business operations. The problem with this approach is that the information is based on the past events, providing insights only in the hindsight but not in a context on the actual state of the moment.
The advent of big data technologies like cloud infrastructure and modern cloud data platforms allowed the capture of real-time data. Through streams of information from various sources being captured and aggregated in distributed data platforms, it becomes possible to break data silos and analyze metrics based on actual real-time business operation conditions to allow proactive measures.
With the feature of processing real-time data fast, Operational Intelligence gives visibility, insights and actions shipping companies need to make better decisions faster, managing the fleet in real-time. This opens up multiple possibilities in fleet operation management:
➡ Real-time operation visualization
➡ KPIs monitoring
➡ Operational process improvement
➡ Visibility of the fleet’s overall and each specific vessel’s condition
➡ Predictive maintenance
● Cost optimization
➡ Operation projection
➡ Reduce offhire
➡ Optimize administrative overhead
Even though shipping companies are required to keep track of vessel condition, collect machinery data and ensure regulatory compliance, the information has always been scattered across multiple systems and is most of the time outdated. Therefore, despite the rise of big data and cloud computing, systemizing data collection will have to be the first step in utilising operational intelligence effectively in the maritime industry.
For Kaiko Systems, the objective of applying Operational Intelligence in the maritime industry is to deliver strategic, tactical and operational insights to all levels of a shipping company.
To solve the problem of non-standardized data, Kaiko Systems starts at the root, right where data is generated. Kaiko Systems digitizes routine inspections with a crew-friendly, mobile-first application. Meta-data analysis immediately checks the plausibility of results, and can therefore verify inspection reports. This not only ensures high data quality and reliability, but also helps to save ca. 50% of the time spent on routine inspections, without extensive hardware investments.
Kaiko Systems provides insights to optimize processes and performance:
● Asset condition analysis helps shipping companies to adjust their maintenance plans for better business performance and a stronger bottom line.
● Information on the crew's operational performance allows shipping companies to change, update, and amend processes in a matter of days, not months.
● Furthermore, Kaiko Systems breaks down data silos in the company by rapidly visualizing customized reports and dashboards, and by seamlessly integrating into existing ERP systems. This provides every stakeholder data access and decision support wherever they are.
Companies in the maritime industry have identified technology and business model innovation as the main avenues to maintain competitiveness. The use of operational intelligence can help companies to emphasize long standing management issues and optimize processes.
Kaiko System is designed to deliver shipping companies strategic and actionable insights to manage assets proactively and operate with confidence.