NPOMF Project Insights: Improving Quality of Life in Ngati Porou

This project aims to enhance the quality of life for Ngati Porou and vulnerable families in the East Coast district by establishing data-driven infrastructure and engaging with iwi/Māori communities. The focus is on understanding impact through evidence-based approaches, accessing and analyzing big data, and supporting predictive models for effective social investment. Key milestones, deliverables, and challenges related to data access and opportunity realization are also highlighted.

• Insights
• Quality of Life
• Ngati Porou
• Data-driven
• Vulnerable Families

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1. NPOMF Project Sharing Project Lessons

2. Project purpose and objectives Outcome Statistics NZ Objectives this PPP Improve the quality of life of Ngati Porou and vulnerable families living within the NI East Coast district. Support Statistics NZ to establish a formal programme of engagement with iwi/M ori for development of an appropriate data-driven infrastructure to meet the specific needs of iwi organisations NI East Coast a top priority areas for children at risk TRONPnui work with 4000 individuals and/or wh nau within the district and we need to understand what is and isn t working through a repeatable evidence base Outputs A NPOMF to understand if investments and actions are improving the quality of life for vulnerable families Access, test and overlay Government s big data with Whanau Oranga programmedata to understand the impact of health, education and social sector spending on vulnerable families Provide input into predictive models based on strengths- based social investment approaches to complement the At-Risk model

3. Xmas and New Year Shut-down/Holidays Project Plan and Deliverables Ngati Porou Outcomes Measurement Framework (OMF) Project Key Milestones and Deliverables 2016 - Quarter 1 2016 - Quarter 2 2017 - Quarter 3 2017 - Quarter 4 OMF Project Plan and Key Milestones Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun 4 1 1 1 8 25 1 8 1 5 22 29 5 1 2 1 9 26 3 1 0 1 7 24 31 7 1 4 21 28 5 9 1 3 20 27 2 9 1 6 23 30 6 1 3 20 27 6 1 3 20 27 3 1 0 1 7 24 1 8 1 5 22 29 5 1 2 1 9 26 Governance - WG Meetings Report-back Catalyst (MVP) - 2 updates Establish OMF Project & Discovery Produce Gisborne/NP Base Dataset DRAFT 1 - IDI + Registry Produce Gisborne/NP Extended Dataset DRAFT 2 - IDI + Indicators Produce OMF DRAFT 3 - Confirm Model & Indicators Produce OMF Release v1.0 and Presentation Layer Draft high level plan, estimates and options Release OMF Release v1.0 and Presentation Layer

4. Access to area/mesh based data Problem solving approach to realise opportunity Extracted data at an area level by iwi and ethnicity to identify where no result is returned in place of counts to understand impacts and options Opportunity Understand Iwi and Ethnic strength based indicators/measures against risk factors for place based services Lifted location up to a higher level that needed, i.e. area not mesh block Unrealised Opportunity Systemic changes required to fully realise opportunity Difficult to view data due to: Standard design for access to data at area and mesh block level by ethnicity and iwi confidentiality and access rules in legislation and between SNZ and other government departments Confidentiality and access protocols in place to protect individuals and enable iwi/NGO access for public good service delivery by ethnicity, iwi, and to area or mesh block level Transparent and strategic prioritisation process to systematically increase access to connected data within protocols We also encountered the same issues for Education data by school

5. Ability to reconcile data to check reliability Opportunity Problem solving approach to realise opportunity Extracting and matching IDI and Government publically available to understand what could and couldn t be matched and noting gaps To check confidence levels between government operational source data and IDI data results. Identify gaps and opportunities for improvement. Systemic changes required to fully realise opportunity Unrealised Opportunity To operationalise we will need: Problems reconciling/checking data reliability and slow progress need to have single source of truth, examples: Standard published data model Data Model Data Dictionary Agreed Extract & Usage Standards Full data dictionary Data definitions did not match Totals didn t match for employed/unemployed when summarised by iwi/region /country Defined processes for time bound data and attributes from extraction to end user Difference of units and when used, e.g. region versus district Access protocols to make data available to iwi/NGO s based on need Difference of sources and matching, e.g. iwi classifications Operational place based service delivery and strategic decision-making solutions Matching data totals between sources, years and across attributes, e.g. NCEA levels and UE qualifications at specific leaving ages

6. Time taken to get access to data Problem solving approach to realise opportunity Opportunity Project SNZ analyst undertook to complete the output 1 check Full scope coverage and testing findings with working and reference groups to test results, including mitigation plan to use the SIU Retail layer Systemic changes required to fully realise opportunity Streamline project access process Unrealised Opportunity Broaden access process to include analytical and operational purposes as well as research and statistics Problems encountered when trying to gain access to data: Streamline data release process Consider authorising by organisation with the access and use of data agreed by contract and security protocols Initial access approvals to IDI lab delayed work plan by 2 weeks Output checking for basic census population data by area - estimated to take 2 weeks, took 2 months This will be essential for iwi/NGO place based services. Lab research access to view SIU Retail layer took 26 business days, confidentiality training still required. Access delayed getting individual Department approvals

7. Other Systemic lessons to fully realise opportunity Project and operational delivery skill sets need to be broadened Project planning and resource allocation Appoint a SNZ project manager team during the proposal stage Address gaps and/or consider solution outside the SNZ IDI infrastructure, that removes access to data constraints within agreed parameters and protocols Have an integrated and detailed plan with interdependent projects identified from the start Widen mix of skills to design and deliver an Operational decision-making solution rather than a Researcher based solution Provide the project manager with control over committed resources against estimates Project team initiation and access to deliverables Relationship management and Governance Involve the whole delivery project team from the beginning so that requirements, expectations and commitments on both sides are understood and/or resolved before the project starts Continues a project lead and Senior Sponsor from the Maori Strategic Advisor team, who understands iwi partnership requirements Formalise the governance structure and process to include projects and partners across all iwi/NGO partnership projects The SNZ lead(s) must have pre-arranged authority and access to track all project deliverables