- United Nations ESCAP

Transcription

- United Nations ESCAP
Information and data requirements
for informed decision-making and
policy formulation
HIGH-LEVEL MEETING ON STRENGTHENING INTERISLAND SHIPPING AND LOGISTICS IN THE PACIFIC
ISLAND COUNTRIES
UNESCAP
IMO
PIFS
SPC
23 – 25 JULY 2013 @ SPC PASIFIKA CONFERENCE ROOM, NABUA, FIJI
Megan Streeter – Systems Development Adviser
Content
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Overview and Definitions
Knowledge Pyramid
DIKW and Records Management
Communications Management - Social Media
• Resources – HR, hardware & software
• Port data and ICT systems
• Ownership / Stewardship
• Regional data warehouse - EDDIE
• Benefits and Challenges
Knowledge
Pyramid
WISDOM
KNOWLEDGE
INFORMATION
DATA
Overview and Definitions
• Data – can be converted into information
– Discrete objective facts of little use by themselves
– eg. Numerical quantities, attributes derived from observation,
calculation or experimentation (cost, speed, time, capacity, etc)
• Information – has meaning and is organised
– Data with relevance and purpose
– Collection of data and associated explanations, interpretations
• Knowledge – originates in the minds of people / based on information
– Experience, values, contextual information, expert insight, intuition
– Embedded in docs, repositories, routines, processes, practices, norms
• Wisdom
– Ability to identify truth and make correct judgements
– Intellectual capital in org wisdom is application of collective knowledge
Relations between data, information,
knowledge and wisdom Source: Adapted from Liebowitz, (2003)
Interesting Facts
• Different studies have shown that:
– Information saves time and money
– Middle managers spend up to 25% of their time
searching for the information required to do their jobs
– Corporate executives spend more than 20 hrs/week looking for
information
– Government agencies primarily engaged in providing
information-based services to citizens, businesses and internal
clients
– A major portion of staff time in general is used for information
gathering, verifying, communicating and preserving for future
use.
Sources: Lachance, 2009; Bailey, 2003; EMC/Documentum Partner; Feldman & Sherman, 2001
One view of the data, information, knowledge,
wisdom (DIKW) hierarchy (D. Clark, 2004)
Records Management
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From creation to disposal / archiving
Multiple formats and variations in security control
Electronic Databases – MS excel, access, SQL, sharepoint, etc
Networked servers – backup, offsite
Cloud – sovereignty, online capability,
CONSIDERATION: MUST BE
Timely, accurate, complete, cost-effective, accessible, useable
FEATURES COULD INCLUDE:
Dashboards, mobile applications, reports,
WHAT TO RECORD, WHY, HOW, WHEN, FOR WHO, RESULT?
Communications
Management
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• Plan – implement – monitor and review
communications within organisation and
externally
• Quality management system
Processes and Procedures – media liaison, helpdesk, hotline
Monitoring, Evaluating and Reporting
Visibility (demonstration of achievements) and client
feedback (being part of the solution)
Specific, Measurable, Achievable, Realistic, Time - SMART
Focus on RESULTS
Consider gaps of where we are and where we’d like to be
Social Media
• Easy-to-use (key feature) web tools connecting people (social
networking / social reporting)
• User generated content - collaboration, people interacting
over content [create and share]
• Tools go beyond content to our connection to that content
and each other
• Can be used for development to help turn ideas into action
[find, use, curate, organise and reuse content]
• Access to massive global audience fostering larger networks
• Blogs, podcasts, tweets, videos, instant message, etc (Facebook,
Twitter, Hi5Networks, Myspace, LinkedIn
More Interesting Facts
• In-house information services are a vital resource
- 40 to 84% managers feel that information provided by their
company’s information service leads them to make better
decisions or make them consider a new dimension or handle
some aspect of the decision making process differently
- It is 2.3 times more expensive to provide information from
outside sources than from an in-house information/library
service.
- Organisations without information services/libraries spend
about two to four times as much to acquire information as
organisations with in-house information services/libraries.
Source: Volpe National Transportation Systems Center, 1998
Resource$
• Human – staff capacities and computer literacy
• Regular training and professional development
• Hardware – servers, laptops, desktops, periphery – printers,
monitors etc. in numbers
• Sites – internal and external hosting (servers)
• Technologies used – diversity, bandwidth, etc
• Software – interoperability
– PMTA case study of OnePort solution
• Financial, procurement, assets, HR, payroll, etc
• Storage, traffic, user licenses etc
Port Data & ICT Systems
Ownership / Stewardship
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Regional data/information policies – privacy and security
Intellectual property of data
Sharing / User agreements – terms and conditions
Provision of reports to original data owners
Regional results – analyses of trends to inform decisionmaking and policy formulation
• Uses of value-added information
• Benefits in reduced costs, risks etc
– Cybercrime (theft, fraud, unauthorised copying…)
– Reliability of content
Regional Data Warehouse – EDDIE
Anonymous Login
SQL Server
Web Server
Anonymous User
EDDIE Pages
EDDIE
Data
Internet
Intranet
EDDIE
SQL
DB
EDDIE Reports
Maritime Member
Contacts
Data
Aviation Member
IRIS
Sharepoint
DB
File Server
Secured
Login
Documents
& Multimedia
Sharepoint
& Project
Server
Energy Member
IRIS Pages
Intranet
EDDIE Administrator
Benefits and Challenges
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Harmonisation of templates – data collection mechanisms
Pacific data status – storage and access (EDDIE)
Spatial representation – GIS, mapping, traffic density, etc
Multiple devices – rapidly evolving tools (smart phones)
Management tools – dashboards, regular reports, apps
Information reciprocation – sharing knowledge
Continuous improvement – evolving with modern technology
Use of wisdom in decision-making and policy formulation
Are there any questions?
Pusan
Pusan
Pusan
Pusan
Pusan
Pusan
San
San
SanFrancisco
Francisco
Francisco
Yokohama
Tokyo
Tokyo
Yokohama
Tokyo
Yokohama
Tokyo
Yokohama
Tokyo
Yokohama
Tokyo
Yokohama
Shanghai
Shanghai
Shanghai
Shanghai
Shanghai
Shanghai
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Los
Long
Long
Los
Long
Los
Angeles
Angeles
Angele
Beach
Beach
Beach
Long
Los
Long
Los
Long
Los
Angeles
Angeles
Angele
Beach
Beach
Beach
San
San
San
Diego
Diego
Diego
San
San
SanDiego
Diego
Diego
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Taichung
Taichung
Taichung
Taichung
Taichung
Taichung
Honolulu
Honolulu
Honolulu
Honolulu
Honolulu
Honolulu
Total Freq/Yr
Manila
Manila
Manila
Manila
Manila
Manila
5 0 0 to 1 ,0 0 0
2 0 0 to 5 0 0
1 0 0 to 2 0 0
5 0 to 1 0 0
2 0 to 5 0
1 to 2 0
a ll o th e rs
Apra
Apra
Apra
Apra
Apra
Apra
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Port
Port
Port
Moresby
Moresby
Port
Port
PortMoresby
Moresby
Moresby
Moresby
Pago
Pago
Pago
Pago
Pago
Pago
Pago
PagoPago
Pago
Pago
Pago
Papeete
Papeete
Papeete
Papeete
Papeete
Papeete
Suva
Suva
Suva
Suva
Suva
Suva
Noumea
Noumea
Noumea
Noumea
Noumea
Noumea
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Brisbane
Brisbane
Brisbane
Brisbane
Brisbane
Brisbane
Sydney
Sydney
Sydney
Sydney
Sydney
Sydney
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Questions?
“It is a capital mistake to theorize before one has data.
Insensibly one begins to twist facts to suit theories,
instead of theories to suit facts.”
Arthur Conan Doyle, Sherlock Holmes
THANK YOU