innovations in data collection, data dissemination, data access and data analytics “modernisation:...
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Innovations in data collection, data dissemination, data access and data analytics
“Modernisation: Evolution or revolution”
Pádraig Dalton, John Dunne & Donal Kelly
Global Conference on a Transformative Agenda for Official Statistics
New York 15-16 January 2015
What am I going to talk about?
Introductions
Context for the paper
Environmental issues
Modernisation challenges
Highlight questions
What am I hoping for?
Open discussion
Amongst colleagues
Inherited our organisations and systems
Trying to wear a global hat!
Provocative and perhaps challenging
Lots of questions – fewer answers?
Consider the power of “One Voice”
Modernisation – Broad perspective
Expectation may be technology, Big Data,
CSPA
Context and audience led to broadening of
definition of modernisation and relativity
Asking questions to tap into experience at
conference and develop understanding
Environmental context
Only constant - change
Pace of change
Increased user demand
Emergence of global user
Digital age – technology, sources, strategic alliances?
Skills: Re-profiling, outsource?
Availability of skills?
Environmental context - continued
Politicisation – crisis, targets and indicators
Resources – are we too passive, a consistent message?
Urgency some areas – revolution?
Other areas will take more time – evolution?
How do we decide – links to collaboration?
Modernisation Maturity Model?
Modernisation Maturity Model (MMM)
Just an idea – has it a role?
• Build & maintain strategic relations, nationally & internationally• Build & maintain external statistical excellence• Advance inter-agency & international collaborations • Secure support for statistical & capability portfolio
Manage financesManage human
resourcesManage IT
• Understand national & international directions & factors• Determine organizational vision & values• Determine organizational value proposition• Determine organizational goals • Communicate values & expectations
• Develop strategies for achieving organizational goals• Prioritize statistical portfolio• Prioritize capability portfolio• Allocate portfolio & programme budgets• Build & maintain internal statistical & professional excellence
Capability Corporate support
Plan capability improvementsDevelop capability
improvementsManage capabilities
Support capability implementation
Manage business & performance
Strategy
Position Govern Influence & collaborate
• Manage IT services• Manage IT & information security
• Manage documents & records • Manage knowledge • Manage information standards & rights
• Manage communications and media relations• Manage stakeholder consulations• Educate users and improve statistical literacy• Manage cross-product user support
Manage information & knowledge
Manage consumers & suppliers
• Manage business performance• Manage change and risk• Manage legislation & compliance• Manage physical assets, including building facilities
• Maintain accounts (including assets & liabilities)• Manage procurement & contracts
• Manage employee performance • Manage & develop skills• Manage talent• Manage recruitment• Ensure succession planning
• Identify 'disruptive' & other capability improvements• Propose capability improvement projects, including shared infrastructure• Manage capability improvement programmes
• Undertake background research• Develop detailed capability requirements• Design capability solution• Build & release capability solution, including shared infrastructure• Manage capability development project
• Maintain capabilities, including shared infrastructure• Promote capabilities• Evaluate capabilities• Manage data, metadata and process data• Manage quality
• Support design • Support operations• Support use externally
Modernisation Challenges
Institutional setting
Without appropriate institutional settings for NSIs,
despite having numbers, do we have robust, trusted,
reliable and internationally comparable data?
Statistical Framework Pillars
Data Protection
Freedom of Information (FOI)
Statistical legislation
Statistical legislation the starting point?
Long-standing problem outside power of NSIs – but can we
influence?
Without Data Protection and FOI can we have an effective
statistical framework?
Secondary data sources
Variety of data sources
Hot topic is Big Data but…….
Administrative data
- Administrative data also evolving
- Access remains an issue – Why?
- Value proven where in use
- Have we a communications problem to address?
Have we a role in educating custodians on why and value?
Big Data
Must continue our work in this area
Are considerable opportunities and challenges
Mobile phone data, smart metering, traffic loop data
Need to move from potential to actual delivery
Are challenges/questions
- Conflating volume with insight
- Sustainability of data sources over time
- Availability of skill sets
- Technology challenges
- Privacy and data security concerns exist
Big Data
Not necessarily better than traditional sources but there
is value
Is it over-hyped at this point and are we managing
expectations?
Those that can should push ahead but ….
Coherent output(s) to maximise value of investment
Create a road-map for others to follow
Privacy & Data Protection
Are a range of challenges
- Linking secondary and primary data sources
- Implication of strategic alliances
- Privacy and efficiency debate
Privacy & Data Protection
How do we retain trust in such an environment?
Do we have a role in surfacing the issues and bringing a
balance to the debate?
Beyond legal issues – cultural also?
Communications challenge?
One Voice
Technology
Proliferation of mobile technology
Web services
Web scraping
Visualisation
Pace of change is incredible
NSIs must share experiences (and tools) – collaboration
Technology
With technology and “systems development tools”
changing so quickly in what skills etc. should NSIs invest?
Public-private partnerships – if so in what areas?
What is the appropriate model for these partnerships?
Should we “club” together to increase
influence/negotiating power?
Could or should we pool resources?
Standards based modernisation
A lot of work ongoing
UNECE HLG MOS – GSBPM, GSIM, GAMSO, CSPA
DDI, SDMX
Stability/maturity of standards - Is there development for
development sake in some areas?
Standards based modernisation
Is there development for development sake in some
areas?
Does it mitigate against implementation?
Proliferation of players (ownership and maintenance)– is
it a challenge?
How can we collaborate and influence the development
and maintenance of modernisation relevant standards?
Communications
Already referenced - resources and privacy
Quality-timeliness debate
Race to the bottom?
Must improve timeliness but trade-off limit?
Are we clear about where we want to position official
statistics – our brand?
Are we all agreed on our competitive advantage(s) and
unique selling point?
Communications continued
Each of us strike our own balance or One Voice?
How can we progress these communications
challenges?
What will be the most effective approach?
Conclusions
Couldn’t address all of the modernisation issues
Focussed on what we thought were the big strategic issues
Lots of questions – fewer answers!!
Broader definition of modernisation required
Is an urgency to modernise in many areas
Reality - are also modernisation challenges that will take time
WHO, WHAT, WHERE and WHEN? MMM to help?
Conclusions
Collaboration is key – easy to say, difficult to do
effectively
Are a lot of modernisation programmes underway at
both national and international level
What are the most effective and efficient mechanisms,
and divisions of labour, to support the transformative
agenda?