Councils are being driven by ever tighter squeezes on budgets and the availability of smarter, cheaper technology.
And senior leaders need high quality, reliable data that can be interrogated to reveal insights that will let them do more with less.
The good news? Revenue and Benefits teams already have the data sets.
In this webinar Deven Ghelani and Daniel Cavanillas from Policy in Practice showed how some Revenues and Benefits teams are using their data to punch above their weight.
We highlighted how local government finance teams have:
- Used standardised government data sets to identify in advance which individual households will be affected by the lower benefit cap and by how much. They can take proactive steps and prioritise support to those most heavily impacted.
- Used standardised government data sets to identify which 18-21 year olds will lose their Housing Benefit as a result of changes in government policy, and which will be required to ‘Earn or Learn’. Some of our clients have commissioned targeted support on the basis of this analysis.
- Used standardised government data sets to identify exactly how much is lost through Pupil Premium funding as a result of households failing to make a claim for means tested free school meals, and exactly which households should be making a claim. This is worth over £1m to most London Boroughs.
4. Agenda
• Introduction to Policy in Practice
• Making Data Meaningful: A household level analysis
• Our approach: The cumulative impact of welfare reform to 2020
• Our impact: Examples of our past work
• The future: Understanding the changing shape of income, employment and
poverty
• How we can help
5. We make the welfare system
simple to understand, so that
people can make the decisions
that are right for them
9. We know that data is important…
• NESTA are calling for an Office of Data Analytics across London and
Manchester, and argue that working smarter is the only way that that the
local government funding gap will be met
• The DWP consistently call for better data on the impact of interventions, data
is in particular demand at ministerial level
• Local authorities have their own insight and business intelligence teams,
indicating that this information is important to policy and strategy teams
10. But using data is difficult…
• Get data from different departments, or from the ‘data person’
• Clean data that is inconsistent
• Structure data so it can be manipulated at scale
• Analyse data to produce meaningful information
• Apply data by turning that information into insight
• Deliver outcomes by following through on the data driven decision
Data for its own sake may not deliver results, it can lead to a false sense of
security
• How do you make data meaningful?
11. 111111
Poll 1: Where does your data come from?
- DWP and central government
- Local Authority Insight Team
- My departmental team
- I don’t have any data
- Don’t know
12. What if data could tell you that:
“Mrs Biggins at 73 Acacia Terrace
will be affected by all welfare
changes by £15.62 per week and
has high barriers to work”
www.policyinpractice.co.uk
14. Policy in Practice’s approach
Your Housing Benefit /
Council Tax data
Our Universal Benefit
Calculator
Rich, detailed impact
assessment: who is
impacted and what are the
Council-wide effects?
1. Use local data and
insights to inform better
decision making
2. See the impact of
different models together
with ongoing welfare reforms
3. Inform Council Tax
Support decisions
15. 151515
Let’s look at a data set now
Who could get the pupil premium, with their free school meals?
Who’ll be most affected by the Benefit Cap?
19. Compares the current
benefit system and
Universal Credit
Considers planned and
prospective changes in
government policy
More accurate and
detailed than current
approaches
Universal Benefit Calculator
21. How others are using their analysis
Birmingham City Council Identified households most vulnerable to welfare reforms
to map local support onto local needs
North Hertfordshire Council Accurately forecasted the cost of their CTRS scheme to
help eliminate £500,000 underspend
Leeds City Council Developed innovative approach to local support
Introduced targeted conditionality and justified his
decision to cabinet
Melton Council Combined analysis on the most heavily impacted
households with strategic intervention activity
Newcastle City Council and Your Homes
Newcastle
Detailed impact assessment now, along with a big data
hub to track the impact of reforms and effectiveness of
interventions in the future
23. Show how powerful your data is
Policy in Practice can:
• Get data from your SHBE and CTR datasets
• Clean data using our experience working with other authorities and policy
knowledge to make a few necessary assumptions
• Structure data into households to model welfare reforms
• Analyse data to show the individual and cumulative impact of reform, including
the benefit cap, UC and the Living Wage on each household
• Apply data and identify the impact on how each household will be affected in
the future, through to in 2020
• Deliver outcomes by helping you to prioritise which households need what
support. We model each households income today under the current benefit
system and Universal Credit, and each year through to 2020. We can combine
with data on rent and council tax arrears, and support payments to target
support to those that need it most
25. We are scratching the surface
Working with you, we want to
• Track the impact of reforms on households over time
• Combine with other datasets
• Develop a real time online dashboard on income, employment and poverty
26. Tracking and monitoring
• One off snapshots are interesting
• But tracking and monitoring over time is much more powerful
• Ongoing analysis keeps the information up to date, and take into account
recent policy changes. It can also give you:
• A richer picture about each household, including work history, the impact
of past interventions on e.g. arrears
• The ability to track the effectiveness of interventions, to help you to
commission the right support to the right people
• So that you can:
• make better informed strategic and operational decisions
• apply analysis across other service areas (e.g. employment and skills,
adult and children’s services)
29. 292929
Poll 2: Are you interested in … ?
- a one off snapshot analysis
- ongoing tracking and monitoring
- an online dashboard
- combining with other datasets
- benchmarking with similar authorities
- none of the above
Partner with us to develop evolving software that
focuses on outcomes
30. Join our rally cry
• Be at the heart of a data revolution in your local authority
• Partner with us so we can learn from you, and we can help you to learn from
each other
• Call with one voice for data sharing from DWP
• Make the case for your role in local welfare delivery, using clear headed
analysis
31. Next steps
Complete the automated survey immediately after this webinar to:
1. Request existing client reports
2. Request dataset demo
3. Request pricing details
4. Request our Customer Testimonials eBook
We have permission from existing clients to share their reports with other local
authorities who may be similar in structure, demographics or strategic vision to
your council.
Policy in Practice is a social policy software and consulting business.
We were founded by Deven Ghelani who was part of the team that developed Universal Credit at the Centre for Social Justice.
When the policy was adopted by government, he left there to set up Policy in Practice. He was keen to ensure that the policy intent was actually put into practice.
Since then, and together with the team he's built at Policy in Practice, he's facilitated conversations between leading local authorities and the Prime Minister's office to ensure frontline feedback about welfare reform policy has been heard.
In addition, Deven and the team have helped 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.