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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


  1. 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 James Mansell & Miriam Lips 5 November 2014

  2. John Whitehead, Chair Stephen England-Hall John Roberts CNZM. Former Secretary Chief Executive Officer, Director, Relationship to Treasury. Management, Loyalty New Zealand Limited Former Executive Director, Department of Internal Affairs World Bank James Mansell Paul O’Connor Evelyn Wareham Director of Innovation, Founder, Director and Head of Manager, Integrated Data and Research & Development, Research, Ministry of Social Development Datamine Statistics New Zealand Joshua Feast Miriam Lips David Wales CEO and co-founder, Professor of e-Government, Manager, Analytics and Insights, Performance Hub, Victoria University School Cogito of Government Treasury

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

  4. The challenge; value and risk DOC ONE

  5. 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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  8. The very personal business of personal health • What you eat • Your activity level • Medical sensors; blood pressure, blood chemistry,… • Genome • Family history • Crowd-sourced outcomes for several million other people Health monitoring in real time: Nokia’s $2.25 million prize

  9. 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 onstream with social media, the nternet of things and open data. He says the new PIMS will help individuals do with data what organisations 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.”

  10. 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. Navigating the data future - What should any country or data use ecosystem aim for? DOC TWO

  11. The future will be about data (re-)use

  12. 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”

  13. 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.

  14. 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.

  15. 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.

  16. Individuals should have greater control over the use of 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.

  17. How do we get there? DOC THREE

  18. Thinking about applying the principles to different kinds of data use No individual* consent Individual consent Consent based access Coercive data Personal* use to shared data to harvesting to target of shared data provide services to individual agents individual Consent based access Non-personal Safer harvesting of data to shared data for non- use of shared for non-personal use personal use data * Note that “personal” and ”individual” really denotes agent level and may include an identifiable person or business or serv ice provider So probably should read “agent - level” targeting for example.

  19. Kinds of data use No individual* consent Individual* consent Personal* use of shared data Non-personal* use of shared data * Note that “personal” and ”individual” really denotes agent level and may include an identifiable person or business or serv ice provider So probably should read “agent - level” targeting for example.

  20. So what kind of insights business model do you want? Executive control + Executive control Servicing control Co-production of providers of customers 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.

  21. 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?

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