Data, innovation & transformation in the public sector


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Atkins’ geospatial lead, Colin Henderson, gave a masterclass on how public sector organisations can use data in innovative ways to provide better services to the public. Colin presented two case studies on how innovative data analysis is being used to deliver cost effective broadband services in rural Scotland and how data is being used to understand and develop the Scottish ICT infrastructure.

This presentation was first delivered in June 2014 at One Public Sector Scotland in Edinburgh, UK.

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Data, innovation & transformation in the public sector

  1. 1. Data, innovation and transformation of public sector services One Public Sector Scotland 19 June 2014 Atkins Lectures
  2. 2. 9 The importance of data Should it be open?
  3. 3. Things to consider when collecting data 10 ● What type of data do you need? – numbers? timetables? location based? is it qualitative or quantitative? ● Source – where can you get this data? is it from an open database? the public? data that already exists in your organisation? ● Granularity – how specific and to what degree of accuracy do you need the data to be? ● Use – what will you use the data for? what would members of the public use it for? how would this benefit the organisation and the public? ● Innovation potential – can the data help us do something new or improve the way we already do things? how can we make it commercially viable?
  4. 4. Should all data be open? 11 The public sector is already making more data available to everyone, for example While it’s scary to give all that data away, there’s one big benefit - it makes the public your innovators:
  5. 5. 12 What is innovation? Should we care?
  6. 6. What is innovation? 13 "An innovation is something original, new, and important in whatever field that breaks in to a market or society". Based on Frankelius, P. (2009), Questioning two myths in innovation literature, Journal of High Technology Management Research, Vol. 20, No. 1, pp. 40–51.
  7. 7. It is not invention! 14
  8. 8. It is different from improvement 15
  9. 9. It is different from improvement 16
  10. 10. Should we care about innovation? 17 Technology Needs Expectations Environment Need to innovate
  11. 11. 18 Data innovation in action
  12. 12. Broadband infrastructure upgrade Campbeltown (>3,000 lines) Capital funding investment to upgrade broadband infrastructure Quickly extend the availability of superfast broadband services Need to understand the geography and group settlements into types Ordnance Survey data, Royal Mail data, background maps Image courtesy of LLDC
  13. 13. Case study: wireless city capabilities 20 Context Towns/cities procuring WiFi coverage in town/city centres and/or public transport Need Local authorities currently collect footfall data but collection may be limited to key streets or lack granularity Understanding how citizens and tourists use the town/city (streets visited, direction of travel dwell time, use of public transport routes, get on/off public transport) Solution Depending on suppliers offerings and procurement routes, Local Authorities may be able to negotiate access to anonymised footfall data for the area covered to review: - City scape investment/regeneration - Tourism attractions - Optimise public transport, etc.
  14. 14. Marine Scotland National Marine Plan Interactive Data visualisation and interrogation Stakeholder engagement Communicating decision-making through raw data distribution
  15. 15. Scottish Water Building age assessment for lead pipe replacement Feature extraction from historic raster mapping using algorithms Comparison of extracted data with current large-scale features Linked to customer database Desktop assessment of relative risk
  16. 16. 23 Thank you
  17. 17. Twitter brainstorming 24 To innovate and transform public sector services what data will be required? @RodneyMountain: Big data offers enormous opportunities for innovation @christophmccann: The people that analyse the data have to be close to the data collection @christophmccann: We have to make sure we have a reasonable non-draconian approach to the security of data @CBS_Shaun: Should all data be open and free @lwardrop: Good discussion on balance between complete v's incomplete data
  18. 18. Twitter brainstorming 25 To innovate and transform public sector services what data will be required? @colgis: WW2 aerial photos used to identify potential unexploded bombs @colgis: Poor data in will lead to poor decision making @colgis: Is it right for commercial organisations to make money from public data? @colgis: Public bodies need to fund data capture - a freemium model could be a good fit @colgis: Sharing of data between partner organisations is often difficult @ colgis: Should data innovators be afraid to fail? Failure can be good for future innovation @colgis: Challenges of data sharing - licensing, compatibility, data protection