The Power of Data Analytics:

Understanding our clients and understanding what works

James Kelly and Vinny Pattison

Tuesday 10th July 2012

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Content

•One year in

•Why data analytics

•Skills and health profiles

•Putting insight into action

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Ingeus: The first year of the Work Programme

187,536

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A regional view

31%

Relative average job outcome performance / West London =100

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Why use data analytics?

To better understand:

•Client characteristics and make up

•Intervention impact

•Comparative operational performance

•Informing the policy debate

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Driving operational performance and informing policy

•Capability to rapidly interrogate multiple data sets held within the data warehouse

•Understand which journeys work for which clients

•Provide support to advisors and senior management

•A myth busting machine

•Skills

•Health

•Housing

•Childcare

•Job Goals

•Experience

•Demographics

•Skills

•Health

•Housing

•Childcare

•Job Goals

•Experience

•Demographics

Client Profile Client Profile Intervention Intervention

•Number Interviews

•Courses

•Applications

•Type of provider

•Spend per client

•Mandation

•Staff Profile

•Number Interviews

•Courses

•Applications

•Type of provider

•Spend per client

•Mandation

•Staff Profile

Outcome Outcome

•In/out work

•Sustainability

•On/off benefit

•Progression

•In/out work

•Sustainability

•On/off benefit

•Progression

Gov’t Policy Gov’t Policy

•Real time evidence

•Better policy

•Real time evidence

•Better policy

Continuous Improvement

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Gender and the Work Programme

• A male dominated Programme

Female

Male

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Age and the Work Programme

• Over 40s make up the largest group by age profile on the Work Programme

• Harder to achieve job outcomes for older clients (across payment groups)

So much of interest....

•Length of unemployment has a greater impact on returning to work than we believed

•Harder to achieve job outcomes for those who state their ethnicity is ‘White’ compared with those who state it being ‘Black’; Asian; or ‘Mixed’

•1 in 5 JSA clients declare a health concern as a barrier to finding employment

•Correlations between size of end-to-end subcontractors and performance

•Greater understanding of the impact of skills and health on outcome performance

•Etc, etc.....

But how do we use new insights to drive performance................

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The data and analytics is taken from Work Programme attachments to Ingeus between June and October 2011 across the 8 Contract Package Areas in which we operate;

The analysis focuses on 65,204 Work Programme JSA clients in payment group 1 (JSA 18-24 year olds) and payment group 2 (JSA 25+);

The analysis does not consider clients claiming Employment Support Allowance, JSA Early Referrals or JSA Ex-IB;

The analysis uses the yes/no answers to 3 basic skills and 2 health related diagnostic questions which are asked at the initial diagnostics stage.

Health and Skills Analytics

Times less likely to have started work than the best skills and health scenario (% of the JSA Work Programme population in the cohort)

The impact of basic skills and health profiles on job starts

Best

Best Worst

Worst

6.2x(1.1%)

2.7x (4.5%)

1.8x(2.4%)

Health Profile3 potential combinations

Skills P

rofile8 potential com

binations

1x(34.8%)

2.0x(0.1%)

JSA skills and health client profile - the hardest 1%

Low QualificationsDeclare that they do not have an A* - C GCSE in English or Maths

Older45 years old (on average compared to the WP JSA population who are 38 years

old on average)

Long term unemployed Have been out of work for more

than 5 years (44% as compared to 18% of the Work Programme JSA population as

a whole)

Long term benefit claimantHave been on benefits for more

than 2 years (25% compared to 15% of the WP JSA

population as a whole)

Current health concernDeclare that they have a health concern which will affect their ability to work

Historical health concernBelieve this health concern

has affected their ability to stay in work in the past

Low IT skillsDeclare that they do not regularly use the Internet

and Email

Poor numeracy and literacyDeclare that they struggle with

reading and writing

JSA clients : Internet, e-mail and job starts

Internet and e-mail use is a key indicator of a clients likely hood of starting employment

The age of a Work Programme JSA client has an impact on their use of

Internet and email

Regardless of age the likelihood of starting work is increased significantly if the client

regularly uses the Internet and email

Times more likely to have started work than a client not regularly using the Internet and email

% n

ot re

gula

rly u

sing

th

e In

tern

et a

nd e

mai

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Age GroupBUT…

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Analytics in Action: IT for Work Pilot

• Quantitative data triangulated with advisor and client insight;

• Basic IT course designed and accredited;

• Course funded with SFA money through local college;

• Pilot running for 2 months integrated with WP delivery;

• Aim: part of long term integration of employment and skills;

• Full evaluation into impact of the pilot with lessons for delivery and policy.

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Conclusions

•Very early days

•It’s just one tool

•A product of the Work Programme

•Attitude, motivation, commitment

•More tailored support

•Better policy making

•Future programme design

•Better outcomes