Integrated multi-modal information
APIS consolidates trade data, maritime, road and rail transport data, traffic count data as well as vessel and vehicle positioning data.
APIS uses open source tools to extract data from existing operational port community systems and to transform and load the high periodicity and micro-level data into the analytical data repository.
APIS supports data quality by use of Standard classifications. APIS uses SUPERSTAR technology to store and present this micro level data in a format amenable to statistical and econometric analyses and research purposes.
Elements of a systematic approach
Data collection is not straightforward as it requires the combination and reconciliation of data from different sources and data which has been collected for purposes other than forecasting and in-depth analysis.
Data collection must be done properly and carefully or data quality will suffer and as a consequence, the data and any insight gained will not be trusted.
Data analysis is required for terminal operators and shipping lines to respond to the requirement for greater efficiency in the ports such as queues and waiting zones. Data management and control systems are needed to plan and measure a port's performance level. To measure the efficiency of port services provided, such as port turnover per cargo type, port performance indicators must be defined and implemented.
Data infrastructure must be used to monitor and identify bottlenecks in the network and gauge the environmental impact of port operations. Implementation of such performance indicators requires current operational data, residing in different areas of port community system as well as satellite systems and their combination with historical data.
