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Giovanni Tonutti
Policy in Practice
CATCHING UP OR
SLIPPING BEHIND?
Are policy makers embracing
the potential of data analytics?
A UK example
Agenda
1. Introduction to Policy in Practice
2. The power of administrative data
3. The challenges facing policy makers and the use of
data
4. The vision
5. Q&A
We make the welfare system
simple to understand, so that
people can make the decisions
that are right for them
www.policyinpractice.co.uk
Policy
national impact
CONSULTANC
local impact
Software
Individual impact
Administrative data
Collected to administer a wide range of public services
Administrative data is:
• Accurate and up-to-date
• Standardised and scalable
• At the household-level
But:
• It is rarely used beyond administrative purposes
Unlocking the potential of this data to improve the design and delivery of social
policy
666
The challenges
1. The silos mentality
• Public sector departments devise and
deliver policies in isolation
• Little consideration of the combined
effects of different policies on people
• Information and data are not shared
among relevant stakeholders
Local example in Leeds
“I can’t see whether the people affected by national
policy changes are the same people that have been
clobbered by other local reforms.”
Steve Carey, Leeds City Council
A person centred approach
2. Lack of systematic evaluation of policy
effectiveness
Administrative data can support the work of policy makers at all levels of the policy
cycle.
Monitoring and evaluation of policy effectiveness is very poor.
• Some examples at the central government level (one-off exercises) and not
systematic
• Almost not existing at the local level.
Pooling data across London
Track behavioural changes
3. Support is reactive and not predictive
• Predictive analytics has not reached the
public sector
• Future projections are done at aggregate
level, little operational insight.
• Growing awareness of the importance of
preventative action, but developments are
tied down to low investments.
151515
The vision
• In the public sector, digitalisation seen as a
way to deliver efficiencies.
• Years of austerity policies meant that the
emphasis was on fewer resources, lower
costs to achieve the same outcomes
Efficiency before effectiveness
• Ambitious programme to bring together 6
different benefits from 3 different
departments under 1 system
• Simplify the benefit system to help people
better understand their circumstances, and
empower them in their choices
• Digitalisation key role
• Government saw this as opportunity to
make savings
• Reducing frontline staff
• Initial policy intent has been diluted in
striving for efficiencies
Example: Universal Credit
Let’s turn the equation on its head!
• The aim of digitalisation and data
analytics should be better outcomes
• Better outcomes in social polices leads
to efficiencies.
• Helping people towards greater
independence means less public
spending.
Effectiveness before efficiency
Better outcomes for
people
191919
Catching up or slipping behind?
www.policyinpractice.co.uk
Thank you
Giovanni Tonutti
giovannni@policyinpractice.co.uk
+44 (0) 330 088 9242

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Catching up or slipping behind? Are policy makers embracing the potential of data analytics?

  • 1. Giovanni Tonutti Policy in Practice CATCHING UP OR SLIPPING BEHIND? Are policy makers embracing the potential of data analytics? A UK example
  • 2. Agenda 1. Introduction to Policy in Practice 2. The power of administrative data 3. The challenges facing policy makers and the use of data 4. The vision 5. Q&A
  • 3. We make the welfare system simple to understand, so that people can make the decisions that are right for them
  • 5. Administrative data Collected to administer a wide range of public services Administrative data is: • Accurate and up-to-date • Standardised and scalable • At the household-level But: • It is rarely used beyond administrative purposes Unlocking the potential of this data to improve the design and delivery of social policy
  • 7. 1. The silos mentality • Public sector departments devise and deliver policies in isolation • Little consideration of the combined effects of different policies on people • Information and data are not shared among relevant stakeholders
  • 8. Local example in Leeds “I can’t see whether the people affected by national policy changes are the same people that have been clobbered by other local reforms.” Steve Carey, Leeds City Council
  • 9. A person centred approach
  • 10. 2. Lack of systematic evaluation of policy effectiveness Administrative data can support the work of policy makers at all levels of the policy cycle. Monitoring and evaluation of policy effectiveness is very poor. • Some examples at the central government level (one-off exercises) and not systematic • Almost not existing at the local level.
  • 13. 3. Support is reactive and not predictive • Predictive analytics has not reached the public sector • Future projections are done at aggregate level, little operational insight. • Growing awareness of the importance of preventative action, but developments are tied down to low investments.
  • 15. • In the public sector, digitalisation seen as a way to deliver efficiencies. • Years of austerity policies meant that the emphasis was on fewer resources, lower costs to achieve the same outcomes Efficiency before effectiveness
  • 16. • Ambitious programme to bring together 6 different benefits from 3 different departments under 1 system • Simplify the benefit system to help people better understand their circumstances, and empower them in their choices • Digitalisation key role • Government saw this as opportunity to make savings • Reducing frontline staff • Initial policy intent has been diluted in striving for efficiencies Example: Universal Credit
  • 17. Let’s turn the equation on its head! • The aim of digitalisation and data analytics should be better outcomes • Better outcomes in social polices leads to efficiencies. • Helping people towards greater independence means less public spending. Effectiveness before efficiency Better outcomes for people
  • 18. 191919 Catching up or slipping behind?

Editor's Notes

  1. So today’s agenda Why you are here The difference between the two sessions today What we need from you and what you get in return Next Steps: DWP Letter Your participation in the project Universal Credit data Intros :Go round the room, introduce yourself and say what you want to get out of today, what would you like to see the analysis or software do? I have a full presentation but can tailor it to your needs. Policy : l’ll quickly recap the welfare reform changes that are still to come in this parliament, that we know of, and share some of the analysis we’ve done on the national impact that welfare reforms have had to date. Local picture: More interestingly, I’ll then focus on the local picture of welfare reforms and share some examples of work we’ve done with other clients. I’ll demonstrate why every household matters by showing you the different impacts of reforms on next door neighbours. Our approach: By now you’ll want to know how we do the analysis so I’ll take you through our approach and show you a dataset CTRS: I have some examples of the CTRS modelling work we’ve done for other clients to show you Software: And then we’ll take a look at our software Feedback from other clients and frontline advisors Next steps
  2. We believe that change happens on the frontline. Our mission is to reduce poverty and We do this through simplifying the delivery of the welfare system. Deven Ghelani was a member of the team at Centre for Social Justice who developed Universal Credit and, when the policy was adopted by government, he left to set up Policy in Practice. He was keen to ensure that the policy intent was actually put into practice. He found the biggest challenge in policy is not legislation or implementation, it is how policy is communicated and understood Since then, and together with the team he's built at Policy in Practice and 3 core Services that makes the welfare
  3. Policy –We use our analysis and expertise to analyse current policy and guide and influence future policy . We have been commissioned to complete the JRF UC report, FIC; Benefit Cap White Paper and a few others. We facilitated conversations between leading local authorities and special advisors to number 10 to give frontline an opt to talk about what is happening in their authorities and discuss impacts of changes ahead.  such as the need for better communication between DWP and LA’s./training needs Consultancy- helping local authorities to understand the aggregate and cumulative impact of welfare reform changes on their customers so that they can accurately target support. and finally our software Policy in Practice developed to simplify the conversations that frontline advisors can have with customers by clearly showing what benefits they can get under the current system and when they move to Universal Credit, comparing the two side-by-side using data visualisation. And help support people back to work or manage their income more efficiently --- alternative narrative --- Policy in Practice has facilitated conversations between leading local authorities and the Prime Minister's office to ensure frontline feedback about welfare reform policy has been heard. We also help local organisations to understand the aggregate and cumulative impact of welfare reform changes on their customers so that they can accurately target support programmes. And finally, to close the loop, the software that Policy in Practice has developed simplifies the conversations that frontline advisors can have with customers by clearly showing what benefits they can get under the current system and when they move to Universal Credit, comparing the two side-by-side using data visualisation.  
  4. An example from one of our customers Leeds CC wanted to look at cumulative impacts of the welfare reforms on individual residents We did this piece of work at a time they were considering changing their CTRS Schemes. Our analysis gave them a clear indication of who and how people would not only be affected by reforms but also how each potential CTRS scheme considered would contribute to this and what the cost would be to them and residents.
  5. Not only do you LA’s have large amount of change coming but Governments is only looking at the impacts of these in their silos.. They are looking at how one policy affects many people We focus show how all policies combined affect one person. Its only by understanding the full picture and impacts can LA’s make decisions that are sustainable and supportive to individual residents.
  6. Not only do you LA’s have large amount of change coming but Governments is only looking at the impacts of these in their silos.. They are looking at how one policy affects many people We focus show how all policies combined affect one person. Its only by understanding the full picture and impacts can LA’s make decisions that are sustainable and supportive to individual residents.