1 Catalysts for Innovation

SOLVING REAL-

WORLD

PROBLEMS WITH

DATA AND

ANALYTICS

2 August, 2016 |

2 Catalysts for Innovation

Client challenges

Budgets

35% - 40% Typical share of public sector

budgets devoted to health &

social programs. MN DHS

spends $1B per month

Youth Unemployment

15 - 40%+ Typical rates around the

world

Families Receiving Many

Benefits

86% of Illinois health spending

goes to 23% of families

participating in multiple

services

Aging Populations

601M to 715M The number of people around

the world over the age of 65 in

2015 and 2020: High-cost, high-

need

The share of GDP devoted to healthcare is increasing dramatically

Program Integrity

5 – 10%

Typical estimate of improper

healthcare payments associated

with fraud, waste, & error

3 Catalysts for Innovation

Organizations are using data to improve results

COLLABORATE

Improve quality and results through

multidisciplinary approaches and

evidence-based services and

treatments

INCREASE ACCESS Reduce gaps in access, help individuals to

become advocates of their own situation, and

enable greater individual and family engagement

SIMPLIFY

Efficient and flexible organisations that

enable greater focus on vulnerable

populations and individuals

Use Data to Manage

4 Catalysts for Innovation

The Florida Department of Juvenile Justice uses predictive analytics to improve

youth outcomes

Challenge: When a delinquent enters the juvenile justice system, he is at a crossroads, and

the wrong decision could set him up for a life of crime. The Florida Department of Juvenile

Justice (FDJJ) sought a way to optimize each child’s chances

The solution: The FDJJ taps into years of data about the relative success of different

interventions with different kinds of offenders. Decision makers can now use the insight

provided by predictive models and statistical analysis to quickly and accurately determine the

strategy that will work best for each young person who enters the system.

“With powerful predictive analytics technology, we can gain the deep insight we need to

increase the chance of a successful outcome for each and every child.”

—Mark Greenwald, chief of research and planning

26% decrease in the number of juveniles

referred to secure facilities

15% lower rate of referral to juvenile

probation programs

22% fewer Crimes committed by

juveniles in the first two years

5 Catalysts for Innovation

The cost of NEETs (aged 16-19) is £3.65 billion/pa nationally

The London School of Economics found that each NEET costs the taxpayer

£97,000 over the course of their lifetime

The worst will cost more than £300,000 per individual

Estimate more than £22B in foregone tax receipts

15% of NEETs die within first 10 years

Economic vitality and youth unemployment: UK’s Medway Youth Trust

6 Catalysts for Innovation

Medway uses text analytics to identify those at highest risk and group themes

“Jason had an argument with Mother’s boy friend, she threw him out. Currently sleeping rough”.

“Susan told me she is 3 months pregnant and is living in a squat”

“Jimmy dropped out of course after two weeks. Mother drinks, father out of work”

“Helen on final warning following inappropriate behaviour”

Sex &Relationship alcohol NEET

Vulnerable groups

homeless

Behaviour

Medway identified more than 700 young people who would cost the country an

average of £97,000 each throughout their lifetime

7 Catalysts for Innovation

Austria Job Search: Analytics in a mobile environment

Worker skills, interests, and location

Employer needs and location

Job matching analytics

Agile government

Won Award for Best Job

App in Austria

8 Catalysts for Innovation

Pennsylvania Dept of Corrections created a community services website to help parolees

and families with re-entry

http://reentrymap.cor.pa.gov/

Created over a summer in

2012 with information

collected by four interns.

9 Catalysts for Innovation

Video: Cognitive computing where and when it’s needed

https://www.youtube.com/watch?v=GFsc0B6DN8s

(Search IBM University of Texas Competition)

10 Catalysts for Innovation

Putting it Together: Capabilities to Deliver Value from Data

Enterprise & Cognitive Analytics Business Intelligence & Predictive

Analytics against structured, semi-

structured and unstructured

information

Understand data in context

11 Catalysts for Innovation

... while the impact of Big Data will be transformational, the path to effectively harnessing it is not.

The journey is evolutionary versus revolutionary, incremental and iterative

– Demystifying Big Data, TechAmerica Report, October 2012

1. Consider the “Art of the Possible”.

2. Start with a clear mission requirement and define discrete use cases.

3. Inventory & understand data assets

4. Assess your current capabilities and architecture against initial use cases.

5. Focus on developing skills and talent

Lessons learned on making progress

12 Catalysts for Innovation