apis - analytical port information system

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Analytic Port Information System 1.12.2010

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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/

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Page 1: APIS - Analytical Port Information System

Analytic Port Information System

1.12.2010

Page 2: APIS - Analytical Port Information System

APIS is a set of methods and software

components to support the analytical,

monitoring, publishing, controlling

work and business development.

„“

Page 3: APIS - Analytical Port Information System

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: APIS - Analytical Port Information System

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

Page 5: APIS - Analytical Port Information System

Data sources for APIS

Page 5

Port terminal data

Page 6: APIS - Analytical Port Information System

Data sources for APIS

Page 6

Rail shunting data

Page 7: APIS - Analytical Port Information System

Data sources for APIS

Page 7

Road-based surveys

and official stats

Page 8: APIS - Analytical Port Information System

Data sources for APIS

Page 8

Air cargo traffic

Page 9: APIS - Analytical Port Information System

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: APIS - Analytical Port Information System

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: APIS - Analytical Port Information System

Page 11

E.g., code list mapping

Page 12: APIS - Analytical Port Information System

Page 12

Elements of a systematic approach

Actor-specific

code lists

Correspondence

tables & transformations

Standardized & integrated

dimensions

Page 13: APIS - Analytical Port Information System

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: APIS - Analytical Port Information System

Page 14

Support services for strategy development

Define

strategic goalsPrioritze Operationalize

Management process

Page 15: APIS - Analytical Port Information System

Page 15

Support services for strategy development

Define

strategic goalsPrioritze Operationalize

Define

requirementsRate

requirements

Develop

indicatorsProcess model

Management process

Page 16: APIS - Analytical Port Information System

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: APIS - Analytical Port Information System

Page 17

Classify industry requirements

… according to their position in the port environmentRequirements

catalog

Macro

Page 18: APIS - Analytical Port Information System

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: APIS - Analytical Port Information System

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: APIS - Analytical Port Information System

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: APIS - Analytical Port Information System

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: APIS - Analytical Port Information System

Page 22

PPI Analysis

… control monthly/weekly/daily target achievement

Terminal turnover by

cargo typesBullet graph array

Page 23: APIS - Analytical Port Information System

Page 23

PPI Analysis

… show breakdown of turnaround time to identify areas of improvement

Turnaround time and

terminal operations

performance

Waterfall diagram

Page 24: APIS - Analytical Port Information System

Using AIS data to measure dwell times in port areas

Page 24

Page 25: APIS - Analytical Port Information System

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

Page 26: APIS - Analytical Port Information System

In-depth desktop analysis tool: SuperCROSS

Page 26

Page 27: APIS - Analytical Port Information System

Page 27

GTDS for Transportbased on SuperVIEW technology

Web analysis of transport & trade flows

Page 28: APIS - Analytical Port Information System

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 29: APIS - Analytical Port Information System

Live monitoring web interface

Page 29

Page 30: APIS - Analytical Port Information System

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 - Analytical Port Information System

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: APIS - Analytical Port Information System

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.

Page 33: APIS - Analytical Port Information System

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: APIS - Analytical Port Information System

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: APIS - Analytical Port Information System

Page 35

Contact

Analytical Port Information System

Thank you !

Michael G. Bodenstein

[email protected]

+43 664 340 27 83

PARADIGMA Management Cnsulting

Mariahilferstrasse 47

A1060 Wien / Vienna

Austria

www.paradigma.net