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Transcript of Communicating the NSO value proposition – Ensuring that official statistics is a well recognized...
Communicating the NSO value proposition – Ensuring that official statistics is a well
recognized brand
Modernization Committee on Products and Sources
UNECE Works Session on the Communication of Statistics
Geneva 18-20 June 2014
Modernisation Committeeon Products and Sources
MC-PSOne of four MCs overseen by HLG-MOS
Eight countries (AU, CN, FR, IE, IT, NL, NZ, PL) andthree organisations (OECD, Eurostat, UNECE)
Key areas of interestBig Data, CSPA, Mixed Mode, Mobile devices and Marketing
Current Activities:Big Data Inventory
Branding of Official Statistics
Survey: NSOs’ best practices in communicating their value proposition
UNECE Modernisation Committee for Products and Sources 2
Why Branding of Official Statistics?
Recent developments in:Source situation (big data, web panels etc.)
Alternative statistics (Billion Prices, Google etc.)
Dissemination modes (social media, mobile devices etc.)
Official Statistics to react:Develop brand of “Official Statistics”
Define our common value proposition
Build on our strengths and address weaknesses
UNECE Modernisation Committee for Products and Sources 3
NSOs’ Strengths
Quality focus
Standardized concepts
Maximum accessibility of data
Independence
Positive public image
International network
UNECE Modernisation Committee for Products and Sources 4
NSOs’ Weaknesses
Timeliness could be improved
Limited responsiveness to user needs
Including tailored requests
Long time to market
For developing new products
For incorporating new sources
UNECE Modernisation Committee for Products and Sources 5
How to build on strengths and address weaknesses?
Different approaches to deal with challenges
Best practices are worth sharing
Four examples from MC-PS members
IE, IT, NL, NZ
Other countries also have valuable examples
Australia: Run That Town
Denmark: Sales and Marketing Division
South-Korea: Homo Statisticus
UNECE Modernisation Committee for Products and Sources 6
Valuing the Censusin New Zealand
Objective:
Measure the value from the five-yearly census
Approach:
Independent report places dollar value on the information
Conclusion:
Benefits clearly exceed direct cost
UNECE Modernisation Committee for Products and Sources 7
Improving statistical literacyin Ireland
Education Outreach Programme
Objective:Long term investment to increase awareness and use of statistics
ApproachEducating key data users
• Schools• Third level and continued professional development• Media and wider society
Fostering partnerships at national and international level
UNECE Modernisation Committee for Products and Sources 8
Supplying Customised Statisticsin the Netherlands
Objective:Increase (re)use of data
More flexibility and responsiveness
Approach:Tailor-made statistics
Research questions from paying customers
Results published on website of SN
Effect:Now 30 researchers active
Expenses fully covered
UNECE Modernisation Committee for Products and Sources 9
Statistical Storytellingin Italy
ObjectiveMake results of official statistics accessible and understandable
ApproachSeveral storytelling projects, ranging from basic to highly interactive
Examples
NoiItalia: Indicators involving a broad range of statistical subjects at different territorial levels; more than 200 text stories with graphic facilities
Scuoladistatistica-lab: Laboratory to create stories on data by discovery, curiosity and exploration mechanisms
UNECE Modernisation Committee for Products and Sources 10
Survey: NSOs’ best practices in communicating value proposition
NSOs’ best practices are worth sharing!
Collaboration opportunities?
MC-PS plans to conduct survey
Results will be published
Idea supported by CES and HLG-MOS
Will you contribute?
Do you have suggestions?
UNECE Modernisation Committee for Products and Sources 11
Backup slides
UNECE Modernisation Committee for Products and Sources 12
Information Gathering and Survey
Objective Development of a shared resource on best practices examples Identifying opportunities for collaboration on the marketing of official statistics
Potential Content Key Stakeholders – government policy makers, students, researchers, other Strategies underway or planned Relevant research undertaken on attitudes towards official statistics Relevant research on effectiveness of strategies Collaboration between national and international statistical organisations Collaboration with other organisations (eg academic, commercial, non-government) Links to further information available publically Opportunities and Barriers
Other? Do members of the audience have input to offer for the development of the survey?
UNECE Modernisation Committee for Products and Sources 13
Sales and Marketing at Statistics Denmark
Establishment of new Sales and Marketing Division
Objective Create optimal conditions for data suppliers Increase revenue streams by professionalizing relationships with data customers
Marketing and promotional activities include: Education
o Free introductory courses on services of Statistics Denmarko Free courses on the journalistic value of published statistics provided to media students at third level
institutions o Analysis days where potential customers can outline their data needs
Direct Marketingo Phone calls to potential customerso E-mails to potential customers who have agreed to receive material from Statistics Denmarko Promotional magazine “Statistisk Perspektiv” is sent to interested parties quarterly
Provides examples of customized tasks that customers have paid for
Central Statistics Office, Ireland 14
Measuring value and awareness of official statistics Statistics New Zealand
Valuing the New Zealand Census
Objective - to measure the value produced from five-yearly census and associated population estimates Approach
independent report commissioned to place a dollar value on the information Complex process of estimation – no agreed models for measuring the value of such statistics
Conclusion The census delivers benefits well in excess of its direct cost
Measuring use and trust survey Objective – survey of data users to find out about their attitudes toward official statistics Approach
Follows guidelines developed by the OECD Committee on Statistics Survey conducted by an independent research organisation It measures for official statistics
Awareness and importance Usage and access Trust people have in official statistics
Statistics New Zealand 15
Statistical Storytelling at Italian National Institute of Statistics
Italian National Institute of Statistics, Italy 16
Storytelling type Project Description Level of interaction
Presentation of statistical outputs as stories
NoiItalia(http://noi-italia.istat.it/)
Indicators involving a broad range of statistical subjects at different territorial levels
More than 200 text stories with graphic facilities
Basic
Visual analysis of statistical outputs through stories
2010 Agricultural Census(http://censimentoagricoltura.istat.it/explorer/ )
Selection of specific stories starting from which the final user can perform an in-depth analysis
Set of advanced graphic representations fully integrated with the text stories
Highly interactive
Laboratory for free storytelling
Scuoladistatistica-lab(http://scuoladistatistica-lab.istat.it/index.php )
Laboratory to create stories on data Creation of a story by discovery,
curiosity and exploration mechanisms
Authoring tools to analyze data create their own texts and visual stories that can be shared
Objective Make the results of official statistics accessible and understandable to people
Storytelling projects include:
Improving statistical literacy in Ireland
Education Outreach Programme
Purpose long term investment to increase awareness and use of statistics
Approach Educating key data users Fostering partnerships at national and international level 3 broad target areas
o Schools : Influence curriculum
Statistics competition
Online educational tools o Third level and continued professional development : Diploma in Official Statistics
Seminars on subject areaso Media and wider society : Press conferences
: Statistical Liaison Groups
: Parliamentary briefings
Central Statistics Office, Ireland 17
Acronyms
HLG-MOS: High-Level Group for the Modernisation of Statistical Production and Services (http://www1.unece.org/stat/platform/x/xIR8Aw)
CES: Conference of European Statisticians (http://www.unece.org/stats/ces.html)
MC-PS: Modernisation Committee on Products and Sources
CSPA: Common Statistical Production Architecture (
http://www1.unece.org/stat/platform/x/PojNBQ)
UNECE Modernisation Committee for Products and Sources 18
Members and participants of the Modernisation Committee on Products and Sources:
Jenine Borowik (Australia) Chair
Julie Trépanier (Canada)
Franck Cotton (France)
Richard McMahon (Ireland)
Stefano De Francisci / Monica Scannapieco (Italy)
Barteld Braaksma / Barry Schouten / Johan van der Valk (Netherlands)
Jean Watt / Amy White / Emma Mawby / Lyn Kaye (New Zealand)
Anna Dlugosz (Poland)
Michail Skaliotis / Martin Karlberg / Pilar Rey del Castillo (Eurostat)
Yuri Gyomai / David Barraclough (OECD)
UNECE Secretariat: Taeke Gjaltema / Steven Vale
UNECE Modernisation Committee for Products and Sources 19