APIS presentation at an EPCSA meeting in Rotterdam

1. Analytic Port Information System
PARADIGMA, Rotterdam, 26.2.2013

2. Addressing the requirements of port communities
Changing role of maritime ports
 Volatility in the global economy
means variability in the demand for
transportation services, requiring
thourough analysis of the business.
 Adoption of intermodality exerts
pressure on port authorities to
morph from a maritime port to a
competitive multimodal services
facility.
 Concerns about the negative impact
of maritime, truck, and rail
transportation on the environment
require ports to respond and
communicate effectively
Page  2

3. Components of APIS
Managing
Complexity
Balanced
Scorecard
In-Depth
Analysis
 Integrating data from disparate sources (PCS, statistics, road
counts, railroad systems, AIS, …) using ETL engines
 Classification Management System
 A comprehensive set of performance indicators
 Visualizations tailored to highlight the information content
 Easy definition and implementation of additional PPI‘s
 Analysing trends and deviations by means of reach statistics functions
and visual data analysis tools (SuperCROSS, SuperWEB)
 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
Page  3

4. Different sources – different data – same business
Terminal operators
By location of
origin, destin
ation or
transit
By cargo or
products
traded
By means of
transport or
transport
equipment
Page  4
Rail operators/carriers
Road transport comp.
Customs/officials
Gov‘t/official statistics

5. Consolidated data model & UN/ECE Recommendations
Recommendation 19
mode of transport
Recommendation 28
means of transport
Recommendation 16
location codes
Recommendation 21
cargo, package types
Page  5

6. Components of APIS
Managing
Complexity
Balanced
Scorecard
In-Depth
Analysis
 Integrating data from disparate sources (PCS, statistics, road
counts, railroad systems, AIS, …) using ETL engines
 Classification Management System
 A comprehensive set of performance indicators
 Visualizations tailored to highlight the information content
 Easy definition and implementation of additional PPI‘s
 Analysing trends and deviations by means of reach statistics functions
and visual data analysis tools (SuperCROSS, SuperWEB)
 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
Page  6

7. Port Strategic Management
Management process
Define
strategic goals
Prioritze
Operationalize
Analytical
Hierarchy
Process
Implement
indicator
system
Port performance indicator framework
SMART goal setting
Process model
Framework artifacts
Page  7
Requirements
catalog
Requirements
rating matrix
PPI catalog

8. Define & 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
in port divided by Total
tonnage of cargo handled
time
hours
Minimize
Asset
Throughput
Berth
throughput
Total tonnage of cargo
handled at berths divided by
Total no. of berths
number
tons
Maximize
Finance
Income
Income per
GRT of shipping
Total income (expenditure)
divided by Total GRT (or NRT)
of shipping
number
€
Maximize
Processes
Efficiency
Average
tonnage per
vessel day
Total tonnage of cargo
handled divided by (hour)
Total no. of vessel days
(hours)
number
tons
Maximize
Processes
Efficiency
Average ship
turn-round
time
Total hours vessel stay in port
divided by Total no. of vessels
time
hours
Minimize
Page  8

9. Using AIS data to measure dwell times in port areas
Page  9

10. Implement Indicator System
PPRISM
Page  10
… Implementation of selected PPRISM indicators
… Throughput, Market Share, Herfindahl Index using
EUROSTAT maritime data

11. Implement Indicator System
PPRISM
Page  11
… define growth rates using „cleansed“ data

12. PPI Visualization
Page  12

13. PPI Dashboard
Page  13

14. PPI process benefits
 SMART supports the definition of suitable KPI‘s
 AHP assists in selecting & prioritizing KPIs
 Which indicators should be developed first
 Which indicators should be improved to reflect objectives ?
 Transparent & auditable implementation of KPI‘s
 Using a declarative language used in statistical production processes
 Providing components to impute missing values and data cleansing
 Visualization of KPI‘s using dashboards or dissemination
tools
Page  14

15. Components of APIS
Managing
Complexity
Balanced
Scorecard
In-Depth
Analysis
 Integrating data from disparate sources (PCS, statistics, road
counts, railroad systems, AIS, …) using ETL engines
 Classification Management System
 A comprehensive set of performance indicators
 Visualizations tailored to highlight the information content
 Easy definition and implementation of additional PPI‘s
 Analysing trends and deviations by means of reach statistics functions
and visual data analysis tools (SuperCROSS, SuperWEB)
 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
Page  15

16. Web analysis of transport & trade flows
GTDS for Transport
based on SuperVIEW technology
Page  16

17. In-depth desktop analysis tool: SuperCROSS
Page  17

18. In-depth desktop analysis tool: Network Analysis
Page  18

19. Components of APIS
Managing
Complexity
Balanced
Scorecard
In-Depth
Analysis
 Integrating data from disparate sources (PCS, statistics, road
counts, railroad systems, AIS, …) using ETL engines
 Classification Management System
 A comprehensive set of performance indicators
 Visualizations tailored to highlight the information content
 Easy definition and implementation of additional PPI‘s
 Analysing trends and deviations by means of reach statistics functions
and visual data analysis tools (SuperCROSS, SuperWEB)
 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
Page  19

20. Self-service analysis & charts for stakeholders
Page  20

21. Website integration of self-service charts
Page  21

22. APIS Hallmarks & Differentiators
1
Seamless integration with existing PCS and other datasources, without
impacting the performance of the operational systems
2
A comprehensive and consolidated view of all essential aspects of a ports
business ready for analysis and reporting
3
Enabling different user groups within the port community to develop their
own analysis from simple tables to advanced analytics without the
involvement of IT staff
4
Comprehensive set of predefined and extensible indicators which allow
the management of the port to plan, manage and monitor the execution
of strategies
5
Built in and customizable access control features, ensuring the
confidentiality and sensitivity of underlying microdata
6
Integrated mechanisms (SuperVIEW, SDMX) to support the publication and
dissemination of statistics, meeting stakeholder expectations and
complying with international reporting requirements
Page  22

23. Benefits for Port Community System Providers
EXPAND SCOPE OF EXISTING PORTFOLIO
 Provide analytical and BI support to
serviced port communities
 Support the analytical, reporting
and publication requirements of the
community by seamlessly providing
PCS’s and other data sources
 Provide a set of port performance
indicators to enable the communiy
to plan, manage and monitor the
execution of strategic plans
Page  23
PROTECT PCS INVESTMENT
 Seamless integration without
impacting operational systems
 Enable users to perform their
analyses independent of the support
from IT specialists
 Maintain the confidentiality of
business data using integrated data
protection mechanisms
 Use SDMX to support the
dissemination of statistics compliant
with reporting requirements of
institutions

24. Primary beneficiaries: the ultimate customers




Support the decision making processes at tactical and strategic level
Manage and monitor the execution of strategic plans using PPI’s
Provide timely, and meaningful informationto stakeholders
Publish information in an attractive and convenient manner.
 Identify new and emerging business opportunities
 Manage and monitor the execution of strategic tactical and
operational plans.
 Aggregated statistics and PPI’s will serve as a benchmark for
terminal operators and other actors
 Guide policy formulation using empirical analysis
 Efficient implementation of a risk management system.
 Monitor the development of traffic and cargo movements, combining
APIS with their own data to detect potential safety and security
exposures.
Page  24

25. APIS Architecture
Analytical Port Information System
Control &
Scheduling
Application
Statistics &
econometric analyses
(SuperCROSS, R, SPSS
, SAS, …)
PCS
AIS
Rail
Dashboard
Staging Area
Transformation
& Integration
(PENTAHO)
Dimension &
Classification
Management
Page  25
Domain specific
multidimensional
Statistical Datamarts
(SUPERSTAR )
Consolidated
Analytical
Database
Geographical
Reference Data
Self Service
Reports
SDMX Web
Service
Geographical Trade &
Transport Visualization
(ESRI, GOOGLE)

26. APIS Deployment phases
Customization & training of customer personel
Map local data sources
(PCS) to the
consolidated APIS data
model (using NLIP
standards)
Data
consolidation
Adapt and calibrate
port performance
indicators to local
levels
Report
alignment
Align APIS reporting
to the requirements
of the port.
Integrate in existing
INTRA – INTERNET
platforms.
Page  26
Provide role
adequate training
for
management, analy
sts and system
administrators
Calibrate
PPI‘s
IT integration
Purchase licences for
productive usage
Interconnect APIS
with existing software
applications
Training

27. 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)
Page  27

28. 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
Page  28