apis - analytical port information system
DESCRIPTION
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/TRANSCRIPT
Analytic Port Information System
1.12.2010
APIS is a set of methods and software
components to support the analytical,
monitoring, publishing, controlling
work and business development.
„“
Page 3
Managing
Complexity
Balanced
Scorecard
In-Depth
Analysis
Dissemination &
Publication
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 microdata (SuperVIEW) in existing web applications
SDMX interface to comply with statistical reporting requirements
Components of APIS
Page 4
Managing
Complexity
Balanced
Scorecard
In-Depth
Analysis
Dissemination &
Publication
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 microdata (SuperVIEW) in existing web applications
SDMX interface to comply with statistical reporting requirements
Components of APIS
Data sources for APIS
Page 5
Port terminal data
Data sources for APIS
Page 6
Rail shunting data
Data sources for APIS
Page 7
Road-based surveys
and official stats
Data sources for APIS
Page 8
Air cargo traffic
APIS - managing complexity
Page 9
Integrated
multi-modal information
Road-based surveys
and official stats
Port terminal data
Rail shunting data
Air cargo traffic
Page 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
Page 11
E.g., code list mapping
Page 12
Elements of a systematic approach
Actor-specific
code lists
Correspondence
tables & transformations
Standardized & integrated
dimensions
Page 13
Managing
Complexity
Balanced
Scorecard
In-Depth
Analysis
Dissemination &
Publication
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 microdata (SuperVIEW) in existing web applications
SDMX interface to comply with statistical reporting requirements
Components of APIS
Page 14
Support services for strategy development
Define
strategic goalsPrioritze Operationalize
Management process
Page 15
Support services for strategy development
Define
strategic goalsPrioritze Operationalize
Define
requirementsRate
requirements
Develop
indicatorsProcess model
Management process
Page 16
Support services for strategy development
Define
strategic goalsPrioritze Operationalize
Define
requirementsRate
requirements
Develop
indicators
Requirements
catalogPPI catalog
Requirements
rating matrixFramework artifacts
Process model
Port performance indicator framework
Management process
Page 17
Classify industry requirements
… according to their position in the port environmentRequirements
catalog
Macro
Page 18
Requirements
rating matrix
Prioritize strategic requirements
Management priority
Eff
ort
to o
bta
in d
ata
low
high
hig
h
low
… data availability vs. urgence of topics
Environmental
impact
Stakeholders
satisfaction
Throughput
Customers
satisfaction
Modal split
Reliability
External
trade ratio
UtilisationProductivity
Competitiveness
Occupation Cost split
Page 19
PPI catalog
Select suitable indicators
… 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 vesselstime hours Minimize
Page 20
Managing
Complexity
Balanced
Scorecard
In-Depth
Analysis
Dissemination &
Publication
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 microdata (SuperVIEW) in existing web applications
SDMX interface to comply with statistical reporting requirements
Components of APIS
Page 21
PPI Analysis
… compare business areas internally and against competitors
Growth-share matrix
Annual growth for cargo
types (%)
Market share of cargo
types (%)
Page 22
PPI Analysis
… control monthly/weekly/daily target achievement
Terminal turnover by
cargo typesBullet graph array
Page 23
PPI Analysis
… show breakdown of turnaround time to identify areas of improvement
Turnaround time and
terminal operations
performance
Waterfall diagram
Using AIS data to measure dwell times in port areas
Page 24
Page 25
Web analysis of transport &
trade flows
In-depth desktop
analysis
Self-service analysis
in your web browser
Live monitoring
web interface
Integrated
multi-modal information
In-depth desktop analysis tool: SuperCROSS
Page 26
Page 27
GTDS for Transportbased on SuperVIEW technology
Web analysis of transport & trade flows
Page 28
Managing
Complexity
Balanced
Scorecard
In-Depth
Analysis
Dissemination &
Publication
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 microdata (SuperVIEW) in existing web applications
SDMX interface to comply with statistical reporting requirements
Components of APIS
Page 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.
Page 31
APIS Hallmarks
Seamless integration with existing port communication systems and other data sources, without
impacting on the performance of the operational systems.
Enabling different user groups within the port community to develop their own analyses from
simple tables to advanced analytics and reports without the support of IT staff.
Built in and customizable access control features ensuring the confidentiality and sensitivity of
the underlying microdata.
Integrated mechanisms (SuperVIEW) to support the publication and dissemination of statistics to
meet the expectations of stakeholders as well as to comply with national and international
reporting requirements (SDMX).
1
2
3
5
6
Differentiators to other offerings …
A comprehensive and consolidated view of all essential aspects of a ports business ready for
analysis and reporting in the form of different layers of a datawarehouse.
4Comprehensive set of predefined and extensible port performance indicators that allow the
management of the port to plan, manage and control the execution of development strategies.
Page 32
PARADIGMA Management Consultants
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.
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
Reasons for engaging our experts …
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
Experience gained in international assignments
Supported by a network of technology partners
Global Partnership with Spacetime Research, the major technology provider of APIS, reduces otherwise existing supply side risks.
APIS Deployment phases
Page 33
Map local data sources
(PCS) to the
consolidated APIS data
model
Customization & training of customer personel
Adapt and calibrate
port performance
indicators to local
levels
Provide role
adequate training
for management,
analysts and system
administrators
Align APIS reporting
to the requirements
of the port.
Integrate in existing
INTRA – INTERNET
platforms.
Purchase licences for
productive usage
Interconnect APIS
with existing software
applications
Data
consolidation
Report
alignment
Calibrate
PPI‘sIT integration Training
Page 34
Architecture
Analytical Port Information System
PCS, AIS, …
EUROSTAT
Railroad,
Road Counts Staging
AreaConsolidated
Analytical Database
Geographical
Reference Data
Control &
Scheduling
Application
Transformation &
Integration (PENTAHO, TALEND)
Dimensions &
Classification
Management
Dashboard
(SuperVIEW)
Domain Specific
multidimensional
Statistical Datamarts
(SUPERSTAR)
Geographical
Trade & Transport
Visualization(ESRI, GOOGLE)
Self Service
Reports
(SuperWeb)
Econometric and
Simulation
Modeling (SPSS, R)
Statistical
Analysis &
Tabulation
(SuperCROSS)
Page 35
Contact
Analytical Port Information System
Thank you !
Michael G. Bodenstein
+43 664 340 27 83
PARADIGMA Management Cnsulting
Mariahilferstrasse 47
A1060 Wien / Vienna
Austria
www.paradigma.net