APIS - Analytical Port Information System - a set of methods and software components to support the analytical, monitoring, publishing, controlling work and business development. http://apis.paradigma.net/

1. Analytic Port Information System
1.12.2010

2. “ APIS is a set of methods and software
components to support the analytical,
monitoring, publishing, controlling
work and business development.
„

3. 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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4. 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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5. Data sources for APIS
Port terminal data
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6. Data sources for APIS
Rail shunting data
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7. Data sources for APIS
Road-based surveys
and official stats
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8. Data sources for APIS
Air cargo traffic
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9. APIS - managing complexity
Rail shunting data
Air cargo traffic
Integrated
multi-modal information
Road-based surveys
and official stats
Port terminal data
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10. 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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11. E.g., code list mapping
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12. Elements of a systematic approach
Actor-specific Correspondence Standardized & integrated
code lists tables & transformations dimensions
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13. 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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14. Support services for strategy development
Management process
Define
Prioritze Operationalize
strategic goals
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15. Support services for strategy development
Management process
Define
Prioritze Operationalize
strategic goals
Define Rate Develop
requirements requirements indicators
Process model
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16. Support services for strategy development
Management process
Define
Prioritze Operationalize
strategic goals
Port performance indicator framework
Define Rate Develop
requirements requirements indicators
Process model
Requirements Requirements
PPI catalog
Framework artifacts catalog rating matrix
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17. Classify industry requirements
Requirements
catalog
… according to their position in the port environment
Macro
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18. Prioritize strategic requirements
Requirements
rating matrix
… data availability vs. urgence of topics
high
Customers Environmental
satisfaction impact
Throughput
Competitiveness
Effort to obtain data
Modal split
Stakeholders
satisfaction
External
Reliability trade ratio
Productivity
Utilisation
Occupation Cost split
low
high Management priority low
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19. 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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20. 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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21. PPI Analysis
… compare business areas internally and against competitors
Annual growth for cargo
types (%)
Market share of cargo
types (%)
Growth-share matrix
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22. PPI Analysis
… control monthly/weekly/daily target achievement
Terminal turnover by Bullet graph array
cargo types
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23. PPI Analysis
… show breakdown of turnaround time to identify areas of improvement
Turnaround time and
terminal operations Waterfall diagram
performance
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24. Using AIS data to measure dwell times in port areas
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25. Integrated
multi-modal information
Web analysis of transport & Live monitoring
trade flows web interface
Self-service analysis In-depth desktop
in your web browser analysis
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26. In-depth desktop analysis tool: SuperCROSS
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27. Web analysis of transport & trade flows
GTDS for Transport
based on SuperVIEW technology
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28. 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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29. Live monitoring web interface
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30. Beneficiaries & benefits
 Port Authorities gain insight into the rapidly changing landscape
of transport chains, support decision making processes and
management at the operational, tactical and strategic level
 Provide potential clients, stakeholders and the interested public
with accurate and timely information about the ports economic
development
 Consolidated and aggregated statistics will serve as a benchmark
for terminal operators.
 Analyzing in more depth their own data they will be able to
develop operational programs to improve performance levels.
 Customs will be able to monitor and analyze the development of
traffic and cargo movements, supplementing their own data to
detect potential safety and security exposures.
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31. APIS Hallmarks
Differentiators to other offerings …
1 Seamless integration with existing port communication systems and other data sources, without
impacting on the performance of the operational systems.
A comprehensive and consolidated view of all essential aspects of a ports business ready for
2 analysis and reporting in the form of different layers of a datawarehouse.
Enabling different user groups within the port community to develop their own analyses from
3 simple tables to advanced analytics and reports without the support of IT staff.
Comprehensive set of predefined and extensible port performance indicators that allow the
4 management of the port to plan, manage and control the execution of development strategies.
Built in and customizable access control features ensuring the confidentiality and sensitivity of
5 the underlying microdata.
Integrated mechanisms (SuperVIEW) to support the publication and dissemination of statistics to
6 meet the expectations of stakeholders as well as to comply with national and international
reporting requirements (SDMX).
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32. PARADIGMA Management Consultants
Reasons for engaging our experts …
A unique blend of experiences and skills relevant to ports
 10 years of transportation and supply chain industry experience, with an emphasis on
transnational and multimodal transport chains.
 Deployment of Business Intelligence in the Transport, Retail and Public Sector
Experience gained in international assignments
 15 years of experience in working in an international setting with partners and networks
proves the viability of combining the agility of a small company with a global scope.
 Software development to enhance statistical production and decision support processes
Knowledge about the use of process and document standards
 Participation in standardization organizations and contributing to the development of
interoperable process and document standards ensures the adoption of standards useful
and necessary in todays business environment.
Supported by a network of technology partners
 Global Partnership with Spacetime Research, the major technology provider of APIS,
reduces otherwise existing supply side risks.
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33. APIS Deployment phases
Customization & training of customer personel
Provide role
Map local data sources Adapt and calibrate adequate training
(PCS) to the port performance for management,
consolidated APIS data indicators to local analysts and system
model 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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34. Architecture
Analytical Port Information System
Control & Econometric and Domain Specific
Scheduling Simulation multidimensional
Application Modeling (SPSS, R) Statistical Datamarts
(SUPERSTAR)
PCS, AIS, … Dashboard
(SuperVIEW)
EUROSTAT
Statistical
Railroad, Analysis &
Road Counts Staging Tabulation
Consolidated
Area (SuperCROSS)
Analytical Database
Self Service
Transformation & Reports
Integration (SuperWeb)
(PENTAHO, TALEND)
Dimensions & Geographical
Classification Geographical Trade & Transport
Management Reference Data Visualization
(ESRI, GOOGLE)
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35. Contact
Analytical Port Information System
Thank you !
Michael G. Bodenstein
michael.bodenstein@paradigma.net
+43 664 340 27 83
PARADIGMA Management Cnsulting
Mariahilferstrasse 47
A1060 Wien / Vienna
Austria
www.paradigma.net
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