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Achieving the NZ DFFs vision: New Zealand is a world leader in the - - PowerPoint PPT Presentation

Achieving the NZ DFFs vision: New Zealand is a world leader in the trusted use of shared data to deliver a prosperous, inclusive society - Implications for the public sector James Mansell & Miriam Lips 5 November 2014 John


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James Mansell & Miriam Lips 5 November 2014

Achieving the NZ DFF’s vision: “New Zealand is a world leader in the

trusted use of shared data to deliver a prosperous, inclusive society” -

Implications for the public sector

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John Whitehead, Chair

  • CNZM. Former Secretary

to Treasury. Former Executive Director, World Bank

Stephen England-Hall

Chief Executive Officer, Loyalty New Zealand Limited

John Roberts

Director, Relationship Management, Department of Internal Affairs

Evelyn Wareham

Manager, Integrated Data and Research, Statistics New Zealand

Paul O’Connor

Founder, Director and Head of Research & Development, Datamine

James Mansell

Director of Innovation, Ministry of Social Development

Joshua Feast

CEO and co-founder, Cogito

Miriam Lips

Professor of e-Government, Victoria University School

  • f Government

David Wales

Manager, Analytics and Insights, Performance Hub, Treasury

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Doc 1 Doc 2 Doc 3 The adaptive challenge A test for any country An adaptive ecosystem

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DOC ONE

The challenge; value and risk

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Profiling and targeting of you

Harvesting data and person profiling to better target your customers. Loyalty NZ MSD Police Fraud detection Boarder security NSA

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The very personal business of personal health

Health monitoring in real time: Nokia’s $2.25 million prize

  • What you eat
  • Your activity level
  • Medical sensors; blood pressure,

blood chemistry,…

  • Genome
  • Family history
  • Crowd-sourced outcomes for

several million other people

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New Zealand personal cloud software start-up MyWave has been cited as a leading proponent of personal information management services (PIMS) in a new UK market report. The report, by Crtl Shift, which specialises in analysing the personal information economy, estimates the PIMS market to be worth around $16.5 billion in the UK alone. MyWave founder and CEO Geraldine McBride says the research is a strong endorsement of the MyWave

  • approach. “It clearly states that a new market dynamic is emerging,

focused on consumers controlling their own data.” More than 30 PIMS companies that use modern technologies to fill consumer value gaps were researched. In the foreword of the report, Sir Nigel Shadbolt, chairman and co- founder of the Open Data Institute and professor of artificial intelligence at the University of Southampton, says big changes are sweeping the world of data, with rich new sources coming

  • nstream with social media, the nternet of things and open data.

He says the new PIMS will help individuals do with data what

  • rganisations have long done: “Use it to drive administrative

efficiencies, identify patterns and trends, gain new insights, inform better decisions, and plan, organise, coordinate and orchestrate complex tasks and processes. McBride says MyWave allows individuals to maintain control over their own data so they can better manage their day-to-day taks and decision-making. “It turns the old world of customer-managed relationships on its head and places control in the hands of the consumer.”

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DOC TWO

Navigating the data future - What should any country or data use ecosystem aim for?

Mahia he kai mō te tau, mo te pae tawhiti. Anei nga mea o muri, nga mea nunui, ko kaitiakitanga, hei manaaki ki a tatou, hei kotahitanga, ka puta he tumamaako. Preparing to sustain our focus on the future. Things valued, of the past, important

  • things. We can manage for the future by supporting and sustaining each other, and

working together to build trust and create value.

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The future will be about data (re-)use

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The right to privacy (1890)

Warren & Brandeis: newspapers had “violated

people’s right to be left alone” through publication of “instantaneous photographs” and the “unauthorized circulation of portraits of private persons”

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New Zealand should use data to drive economic and social value and create a competitive advantage. To achieve this we should

  • treat data as a strategic asset
  • encourage collaboration and sharing
  • support creativity and innovation
  • promote our unique data-use eco-system in New Zealand

and overseas.

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All parts of New Zealand society should have the opportunity to benefit from data use.

  • We should support all New Zealanders, communities and

businesses to adapt and thrive in the new data environment.

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Data management in New Zealand should build trust and confidence in our institutions.

  • Transparency and openness should form the foundations on

which we build trust and enhance understanding about what data is held, and how data is managed and used.

  • Privacy and security are fundamental values that should be built

into data frameworks and the full data life cycle.

  • Data collectors, custodians and users should be accountable for

responsible stewardship and should exercise a duty of care.

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Individuals should have greater control over the use

  • f their personal data.
  • Individuals should be better able to determine the level of

privacy they desire on the basis of improved insight into how their personal data is processed and used.

  • Informed consent should be simple and easy

to understand.

  • Individuals should have the right to correction and the

right to opt out.

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DOC THREE

How do we get there?

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Coercive data harvesting to target individual agents Consent based access to shared data to provide services to individual Safer harvesting of data for non-personal use Consent based access to shared data for non- personal use Personal* use

  • f shared data

Non-personal use of shared data Individual consent No individual* consent

Thinking about applying the principles to different kinds of data use

* Note that “personal” and ”individual” really denotes agent level and may include an identifiable person or business or service provider So probably should read “agent-level” targeting for example.

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Personal* use of shared data Non-personal* use of shared data Individual* consent No individual* consent

Kinds of data use

* Note that “personal” and ”individual” really denotes agent level and may include an identifiable person or business or service provider So probably should read “agent-level” targeting for example.

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Servicing control + Executive control

  • f customers

Executive control

  • f providers

Co-production

So what kind of insights business model do you want?

Your choice will affect your relationship with your customers, the way you drive value, the way you innovate, and whether you get to share data in a fearful or trusting environment. …it will also affect what you and other agencies can do in the future.

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Discussion

For public sector organisations:

  • How could you best put the four guiding principles into

practice and drive value?

  • What insights business model would suit your

scenario? Could you be creating a co-production environment?

  • Have you been talking to the innovators in your sector

about what they would do with the data available to your scenario?

  • How, as a small country, do we foster an innovative

data-use ecosystem that is open to new ideas and avoids monopolistic practice?

  • How do we foster expertise across

New Zealand?