The document discusses an Analytic Port Information System (APIS) that aims to integrate data from various sources like port community systems, statistics, road counts, and railroad systems using extraction, transformation, and loading engines. It seeks to establish a comprehensive set of performance indicators and visualizations to provide balanced scorecards and in-depth analysis tools to support decision making at ports. The system aims to disseminate reports and integrate demand-driven visualization using microdata and standards like SDMX for statistical publication requirements.

1. Analytic Port Information System
PARADIGMA, Vienna, August 7, 2012

2. PARADIGMA & Transportation Sector
Statistical production, marketing potential and business development
Establish the empirical foundation for Austria's road transport model
(Ministry of Transport and Infrastructure)
Combine different survey‟s and administrative data sets
Production of national road transportation statistics using ICT
(R&D project with freight forwarders, truckers and academic institutions)
Utilize existing transport management systems and onboard technology
Feasibility studies to connect the Baltics with the Adriatic using rail
links (Venice/Italy, Szczecin/Poland, EU funded project)
Market potential study for transport relations between the Eastern
Mediterranean and Central Europe (Venice/Italy)
Identify cargo, consigners/consignees, transportation service providers
Identify barriers to multimodality ( in Europe) and develop case
studies to test their economic and ecological impact (Bologna, EU
funded project)
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3. PARADIGMA & Maritime Ports
Mediterranean ports
Port of Livorno and its role in a multimodal transport process
Supply chain development of imports of Subaru cars from Japan to
Italy, crossing the Alps and to the national car distributor.
Port of Ravenna and inland ports in the empty container
movement cycle
Business process modeling and prototyping to manage the relocation
of empty containers.
Port of Venice and monthly tracking of cargo movements
(maritime, road and rail)
Combining data from APV‟s own port community system, with rail
shunting data and traffic counts from the highway administration
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4.  Maritime ports are faced with a plethora of challenges that require
decisions founded on solid empirical evidence as opposed to
subjective experience only.
 In spite of the considerable investment in information technology
made in the past, port communities are not satisfied with the quality
of the data nor with the decision support.
 More often than not information is not current, lacks detail as well as
reliability making any analysis, no matter how sophisticated, which is
based on such data, dubious at best.
… a set of methods and software components to support Port
Authorities in their the analytical, planning, monitoring, controlling
and publishing work.

5. Components of APIS
 Integrating data from disparate sources (PCS, statistics, road counts,
Managing railroad systems, AIS, …) using ETL engines
Complexity  Classification Management System
 A comprehensive set of performance indicators
Balanced
 Visualizations tailored to highlight the information content
Scorecard
 Easy definition and implementation of additional PPI„s
 Analysing trends and deviations by means of reach statistics functions
In-Depth and visual data analysis tools (SuperCROSS, SuperWEB)
Analysis  Interfaces for use of industrial analytical tools (SPSS, SAS, R, … )
 Integration of demand driven reports and visualization using
Dissemination & microdata (SuperVIEW) in existing web applications
Publication  SDMX interface to comply with statistical reporting requirements
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6. Different sources – different data – same business
Terminal operators Rail operators/carriers Road transport comp. Customs/officials Gov‘t/official statistics
By location of
origin,
destination
or transit
By cargo or
products
traded
By means of
transport or
transport
equipment
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7. Components of APIS
 Integrating data from disparate sources (PCS, statistics, road counts,
Managing railroad systems, AIS, …) using ETL engines
Complexity  Classification Management System
 A comprehensive set of performance indicators
Balanced
 Visualizations tailored to highlight the information content
Scorecard
 Easy definition and implementation of additional PPI„s
 Analysing trends and deviations by means of reach statistics functions
In-Depth and visual data analysis tools (SuperCROSS, SuperWEB)
Analysis  Interfaces for use of industrial analytical tools (SPSS, SAS, R, … )
 Integration of demand driven reports and visualization using
Dissemination & microdata (SuperVIEW) in existing web applications
Publication  SDMX interface to comply with statistical reporting requirements
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8. SMART criteria
Requirements
rating  Specific
Loose, broad or vague goals are not desirable. Specific
goals allow to hold someone to account for their
achievement.
 Measurable
Specific The measure may be quantitative or qualitative, but
measurement should be against a standard of performance
and a standard of expectation.
Time-
sensitive
Measurable  Attainable
Goals should not be out of reach but reasonable and
SMART attainable. Setting goals is a balance between this degree
of “attainability” and challenge and aspiration.
 Realistic
A goal might be attainable, but not realistic in the
Realistic Attainable particular working environment. A realistic goal helps
examining the availability of resources and selecting PPIs.
 Time-sensitive
Goals should have a time frame or completion date to
monitor progress. This is instrumental in developing a
realistic action plan including intermediate objectives.
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9. Using AIS data to measure dwell times in port areas
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10. Select suitable indicators
PPI catalog … based on best industry practice and research
Perspective Requirement Indicator Computation Unit type Unit Direction
Processes Productivity Dwell time Total no. of cargo tons x days time hours Minimize
in port divided by Total
tonnage of cargo handled
Asset Throughput Berth Total tonnage of cargo number tons Maximize
handled at berths divided by
throughput Total no. of berths
Finance Income Income per Total income (expenditure) number € Maximize
divided by Total GRT (or NRT)
GRT of shipping of shipping
Processes Efficiency Average Total tonnage of cargo number tons Maximize
handled divided by (hour)
tonnage per Total no. of vessel days
vessel day (hours)
Processes Efficiency Average ship Total hours vessel stay in port time hours Minimize
divided by Total no. of vessels
turn-round
time
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11. Components of APIS
 Integrating data from disparate sources (PCS, statistics, road counts,
Managing railroad systems, AIS, …) using ETL engines
Complexity  Classification Management System
 A comprehensive set of performance indicators
Balanced
 Visualizations tailored to highlight the information content
Scorecard
 Easy definition and implementation of additional PPI„s
 Analysing trends and deviations by means of reach statistics functions
In-Depth and visual data analysis tools (SuperCROSS, SuperWEB)
Analysis  Interfaces for use of industrial analytical tools (SPSS, SAS, R, … )
 Integration of demand driven reports and visualization using
Dissemination & microdata (SuperVIEW) in existing web applications
Publication  SDMX interface to comply with statistical reporting requirements
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12. PPI Analysis
… control target achievement
Terminal turnover by Bullet graph array
cargo types
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13. Web analysis of transport & trade flows
GTDS for Transport
based on SuperVIEW technology
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14. In-depth desktop analysis tool: SuperCROSS
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15. Components of APIS
 Integrating data from disparate sources (PCS, statistics, road counts,
Managing railroad systems, AIS, …) using ETL engines
Complexity  Classification Management System
 A comprehensive set of performance indicators
Balanced
 Visualizations tailored to highlight the information content
Scorecard
 Easy definition and implementation of additional PPI„s
 Analysing trends and deviations by means of reach statistics functions
In-Depth and visual data analysis tools (SuperCROSS, SuperWEB)
Analysis  Interfaces for use of industrial analytical tools (SPSS, SAS, R, … )
 Integration of demand driven reports and visualization using
Dissemination & microdata (SuperVIEW) in existing web applications
Publication  SDMX interface to comply with statistical reporting requirements
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16. Live monitoring web interface
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17. Website integration of self-service charts
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18. Beneficiaries & benefits
 Enhance the competitive position of ports
 Improve the efficiency and visibility of supply chains (door-door)
 Enhance the image of the port, provide meaningful information to the
public and industry players.
 Consolidated and aggregated statistics will serve as a benchmark for
terminal operators and LSP’s
 LSP’s will be able to increase the transparency and visibility of the Supply
Chains
 LSP’s will be able to develop innovative logistics concepts
 Public Administration and transport planners will be able to guide public
policy formulation.
 Customs will be able to monitor and analyze the development of traffic
and cargo movements, combining APIS with their own data to detect
potential safety and security exposures.
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19. APIS Hallmarks & Differentiators
Seamless integration with existing PCS and other datasources, without
1 impacting the performance of the operational systems
A comprehensive and consolidated view of all essential aspects of a ports
2 business ready for analysis and reporting
Enabling different user groups within the port community to develop their
3 own analysis from simple tables to advanced analytics without the
involvement of IT staff
Comprehensive set of predefined and extensible indicators which allow
4 the management of the port to plan, manage and monitor the execution
of strategies
Built in and customizable access control features, ensuring the
5 confidentiality and sensitivity of underlying microdata
Integrated mechanisms (SuperVIEW, SDMX) to support the publication and
6 dissemination of statistics, meeting stakeholder expectations and
complying with international reporting requirements
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20. Backup
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21. APIS Architecture
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22. APIS Deployment phases
Customization & training of customer personel
Map local data sources Provide role
(PCS) to the Adapt and calibrate adequate training
consolidated APIS data port performance for management,
model (using NLIP indicators to local analysts and system
standards) levels administrators
Data Report Calibrate
consolidation alignment PPI„s
IT integration Training
Align APIS reporting Purchase licences for
to the requirements productive usage
of the port. Interconnect APIS
Integrate in existing with existing software
INTRA – INTERNET applications
platforms.
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