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DataBridge OCSI using your data

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DataBridge OCSI using your data

  1. 1. Using your data Some messages from our work with DataBridge Tom Smith, OCSI tom.smith@ocsi.co.uk 01273 810 270
  2. 2. To cover <ul><li>How can data help you? Some examples </li></ul><ul><li>Our analysis with Amaze </li></ul><ul><ul><li>“ Which neighbourhoods (and groups) are under-represented on our COMPASS register?” </li></ul></ul><ul><li>Presentation is important </li></ul><ul><li>“ How to” tools </li></ul><ul><ul><li>Linking your postcode user info to published data (Graham) </li></ul></ul><ul><ul><li>Finding relevant nationally published data (Stefan) </li></ul></ul>
  3. 3. How can data help? Eg … <ul><li>Understanding need and demand (your users, published sources) </li></ul><ul><li>How can we improve services (better targeting etc) </li></ul><ul><li>Changes in user numbers and needs over time </li></ul><ul><li>Quality of services </li></ul>What is the need for our services ? Why should funders commission us ? Which areas and/ or groups are we not reaching? Unmet need ? How is demand and need changing? Emerging needs ? What is the impact of our services on users? Return on Investment ?
  4. 4. 6 drivers behind open data <ul><li>Accountability to citizens </li></ul><ul><li>Choices for service users </li></ul><ul><li>Public service productivity </li></ul><ul><li>Public service quality </li></ul><ul><li>Social growth </li></ul><ul><li>Economic growth </li></ul>How much does my government spend? Which is the best school for my child? How can I deliver a more efficient court service? How safe is my local hospital? How can I access my medical record and share my views with other patients? How can I set up a business on public data?
  5. 5. Our analysis with Amaze
  6. 6. Our analysis with Amaze <ul><li>COMPASS register of children in the city with disability </li></ul><ul><li>“ Which neighbourhoods (and groups) are under-represented on our COMPASS register?” </li></ul><ul><ul><li>Want to target promotional campaigns and contact with schools and other services located in these areas </li></ul></ul><ul><li>Comparison of COMPASS database against publicly-available data </li></ul><ul><ul><li>Used to identify ‘undercounted neighbourhoods and groups </li></ul></ul>
  7. 7. What did we do? Starting from COMPASS data ... <ul><li>Identify published datasets that can be used to compare with your data </li></ul>How to use Data4nr to find relevant data
  8. 8. What did we do? Starting from COMPASS data ... <ul><li>Identify published datasets that can be used to compare with your data </li></ul><ul><li>Linking postcode data to other geographies e.g. Super Output Areas and wards </li></ul>Postcode tool developed for local VCS to use
  9. 9. What did we do? Starting from COMPASS data ... <ul><li>Identify published datasets that can be used to compare with your data </li></ul><ul><li>Linking postcode data to other geographies e.g. Super Output Areas and wards </li></ul><ul><li>Which neighbourhoods in Brighton have the highest children-with-disability populations? </li></ul>
  10. 10. What did we do? Starting from COMPASS data ... <ul><li>Identify published datasets that can be used to compare with your data </li></ul><ul><li>Linking postcode data to other geographies e.g. Super Output Areas and wards </li></ul><ul><li>Which neighbourhoods in Brighton have the highest children-with-disability populations? </li></ul><ul><li>Which neighbourhoods are under-represented on COMPASS? </li></ul>
  11. 11. What did we do? Starting from COMPASS data ... <ul><li>Identify published datasets that can be used to compare with your data </li></ul><ul><li>Linking postcode data to other geographies e.g. Super Output Areas and wards </li></ul><ul><li>Which neighbourhoods in Brighton have the highest children-with-disability populations? </li></ul><ul><li>Which neighbourhoods are under-represented on COMPASS? </li></ul><ul><li>Which groups are under-represented on COMPASS? </li></ul><ul><ul><li>Compare COMPASS data with published data on DLA </li></ul></ul>
  12. 12. Summary <ul><li>Brief analysis for the DataBridge project </li></ul><ul><li>Shown how data held by local VCS groups can be compared with nationally-published data, to identify those areas that are under-represented in their data </li></ul><ul><li>Analysis for Amaze to inform better service targetting </li></ul><ul><li>Developed tools to help VCS groups across the city – feel free to use, contact us etc ... </li></ul>
  13. 13. Presentation is important
  14. 15. Taken from http://flowingdata.com/2011/10/21/the-venn-piagram/
  15. 16. Visualising the return on investment
  16. 17. Visualising the return on investment
  17. 19. “ How to” tools Linking your postcode user info to published data (Graham) Finding relevant nationally published data (Stefan)
  18. 20. 3 questions to take away <ul><li>What of this can we re-use in our organisation (or are doing so already) ? </li></ul><ul><li>What tools would be useful to VCS across the city (eg, as per the postcode and searchable national data tools) </li></ul><ul><li>What (additional) analysis support would be useful to VCS for … identifying need … funding bids … impact analysis … etc etc </li></ul>
  19. 21. Thank you Tom Smith Oxford Consultants for Social Inclusion (OCSI) e: tom.smith@ocsi.co.uk t: 01273 810 270 w: www.ocsi.co.uk

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