The Challenges of Digitisation and Data Analysis in the Maritime Domain

J. G. Kallimani
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Abstract

ABSTRACT The volume of collected and synthesised data available to governmental leaders assessing the maritime domain has increased rapidly over recent years. Analogue data has given way to digital data, which provides an opportunity for better storage, analysis and transfer. Data infusion and management has become the key constraint in respect of data collection. Using data to make decisions requires the appropriate tools and processes to assess and transfer data to near real-time user domains. In the maritime environment, there is a constantly growing demand for intelligence, surveillance and reconnaissance (ISR) data for both national security and commercial purposes, including data sharing among partner nations. However, an increase in available data does not automatically equate to an increase in decision-ready information. Rather, the increase in data can overwhelm sensors, databases and analysts. The concept and use of “big data” exacerbate the already overwhelming flow of data in terms of the volume, variety, and velocity of the data being received. This paper will explore the digitisation of the maritime domain, and the prospect of performing data analysis in a world of rapidly growing data. Abbreviations: BAMS: Broad area maritime surveillance; DAMA-DMBOK: Data Management Association Guide to the Data Management Body of Knowledge; ECDIS: Electronic chart display and information system; EDM: Enterprise data management; ELT: Extract, load, transform; ETL: Extract, transform, load; ISR: Intelligence, surveillance and reconnaissance; MDA: Maritime domain awareness; PWC: PriceWaterhouseCoopers; ROI: Return on investment; SDLC: Systems development life cycle; TCPED: Tasking, collection, processing, exploitation and dissemination; WGS: Wideband global satellite
海事领域数字化和数据分析的挑战
近年来,可供政府领导人评估海洋领域的收集和综合数据量迅速增加。模拟数据已经让位于数字数据,这为更好的存储、分析和传输提供了机会。数据的注入和管理已成为制约数据采集的关键因素。使用数据做出决策需要适当的工具和流程来评估数据并将数据传输到接近实时的用户域。在海洋环境中,出于国家安全和商业目的,对情报、监视和侦察(ISR)数据的需求不断增长,包括伙伴国家之间的数据共享。然而,可用数据的增加并不自动等同于决策就绪信息的增加。相反,数据的增加会使传感器、数据库和分析师不堪重负。“大数据”的概念和使用在接收数据的数量、种类和速度方面加剧了已经势不可挡的数据流。本文将探讨海洋领域的数字化,以及在数据快速增长的世界中进行数据分析的前景。缩写:BAMS:广域海上监视;DAMA-DMBOK:数据管理协会数据管理知识体系指南;电子海图显示和信息系统;EDM:企业数据管理;ELT:提取、加载、转换;ETL:提取、转换、加载;ISR:情报、监视和侦察;MDA:海洋领域感知;普华永道:普华永道;ROI:投资回报率;SDLC:系统开发生命周期;TCPED:任务分配、收集、处理、开发和传播;WGS:宽带全球卫星
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