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Embedding a data driven culture

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Jade Alsop, Commercial Director at Policy in Practice, spoke at Housemark's Ten Days of Data festival about embedding a data driven culture within organisations such as housing providers, local authorities and others.

Commitment to embrace data-driven decision making is needed at all levels of an organisation to realise the full value of insights. At this event Jade joined the speaker panel with Charlotte Carpenter from Karbon Homes and Colin Sales from 3C Consultants to explore how to lead by example to ensure what we do, say and ask, fosters a data-driven culture and embeds the use of data across an organisation.

For more information visit, call 0330 088 9242 or email

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Embedding a data driven culture

  1. 1. Embedding a data-driven culture Policy in Practice Jade Alsop
  2. 2. Agenda ● A climate of change and uncertainty ● Why a data-driven culture is important ● Big issues facing our clients, and how they’re tackling them ● Three case studies ● Takeaways and top tips ● Questions and answers
  3. 3. A team of professionals with extensive knowledge of the welfare system. We’re passionate about making social policy work We help over 100 local authorities use their household level data to identify vulnerable households, target support and track their interventions Our benefit calculator engages over 10,000 people each day. We identify the steps people can take to increase their income, lower their costs and build their financial resilience Policy in Practice: What we do
  4. 4. A climate of change and uncertainty By June 2020 DWP received over 3.2 million individual declarations to Universal Credit. That’s 2.6m households and 1.1m advance payments. By August 9.6 million people were on furlough 2.6 million people claimed SEIS, worth £7.5bn Since April 750,000 people have lost their job (OBR) This could rise by up to 960,000 by October (10% of furloughed people). The number needing support via benefits is likely to increase
  5. 5. Support and help is available 1. Job Support Scheme (furlough scheme) 2. Self employment scheme 3. Social security and Universal Credit 4. Emergency provision for those who are missing out
  6. 6. Why a data-driven culture is important ● Need to see an holistic view of a household’s financial circumstance by bringing all elements such as debt, benefits, housing together ● It’s the quickest and most effective way to get support to the right people ● Prevention is critical, particularly in the Covid world. Data analysis helps you understand your customers and the action you need to take ● Cost avoidance/social impact
  7. 7. Big issues facing our clients ● Limiting and mitigating the impact of COVID-19 now and into the future ● Really understanding how their community is changing, now and in the future ● Demand from and risk to both current low income households and those who are newly financially vulnerable due to COVID-19 Our clients need to limit the risk of: ● Evictions and unsustainable tenancies ● Increased household debt ● Increased homelessness applications and repeat homelessness cases ● Increased poverty that affects residents and, in turn, disrupts the council’s ecosystem
  8. 8. How our clients are tackling these issues
  9. 9. Case study “Do we have a data problem, or a people, processes and culture problem?” Data insights Objective 1: Improve the financial resilience of carers ROI ● Proactively contacted 45% of households ● 62% had an action to claim ● £710k economic gain ● £218k fiscal gain Objective 2: Overcome internal barriers Lessons learned 1. Commit to quarterly campaigns and horizon scan opps 2. Agree a model and funding for delivery 3. Trust information governance owner 236 households mixed age partners not claiming £9,841 per family £2.3m borough wide
  10. 10. Case study “Data is already used to detect fraud and chase arrears, so why not use it to help citizens?” Data insights Activity Return on investment ● £10.9m cost avoidance by better use of discretionary funds ● £14.8m raised by benefit maximisation ● Rough sleepers down to 13, YOY reduction
  11. 11. Case study Data insights Activity Before: Lettings, Customer Support and Customer Accounts all used different software to track customer interactions. Preparing to move 15,000 customers to UC Now: one digital solution Return on investment ● Maximised benefits for 1 tenant by £7,000 ● Improved customer interactions ● Improved staff engagement rates ● Better lettings made ● Better arrears plans “The Benefit and Budgeting Calculator has changed the way we work completely across different teams. It's speeded up processes in a way that we didn't think would happen.”
  12. 12. Takeaways and top tips ● Secure commitment across your organisation to taking a preventative approach ● Work cohesively across teams. Be prepared to invest time up front on data sharing agreements and setting up the multi disciplinary partnership. It's difficult for one team to own alone ● Engage your third party and support networks to maximise impact ● Consistency is key. Your frontline agents need to have the same support conversations (and use the same tool) ● The future is challenging, but there are positive things we can do. Using data will be critical, particularly where budgets are tight
  13. 13. 131313 Questions and answers
  14. 14. ● For up to date information on the welfare support available see ● Follow up email with slides, with links ● You are invited to join our webinars to hear more: ○ Wed 11 Nov: How to find the right debt solution for everyone ○ Wed 9 Dec: 2020: A policy review of the year, and look forward to 2021 Practical tools that can help
  15. 15. 151515 Thank you Jade Alsop, Policy in Practice 0330 088 9242