1 | © 2012 Oracle Corporation – Proprietary
ICT Enablement of Minimum Income Support Schemes
High-level Member State Seminar, Brussels April 3rd, 2014
Christian Wernberg-Tougaard, Director, Social Welfare, EMEA
2 | © 2012 Oracle Corporation – Proprietary
The following is intended to outline our general product
direction. It is intended for information purposes only, and
may not be incorporated into any contract. It is not a
commitment to deliver any material, code, or functionality,
and should not be relied upon in making purchasing decision.
The development, release, and timing of any features or
functionality described for Oracle’s products remains at the
sole discretion of Oracle.
Safe Harbor Statement
3 | © 2012 Oracle Corporation – Proprietary
About me ...
• Head of Social Welfare Practice, Oracle Industry Bus. Public Sector, EMEA
• Nordic Public Sector Industry Lead
• Global Lead on Error, Fraud and Corruption (EFC)
• Macro economist (specialized in Developing Economics and Labour Economics)
• Worked with the impact of ICT on Public Sector for the last 17 years, including being:
– Senior expert for the Danish Government / Parliament on technology issues
– Member of Board of Technologies eVoting comittee.
– Expert for the European Commission (eInclusion Policy Support Program, Safer Internet for Children) and the European Parliament (RFID and Identity Management STOA).
– Different director roles in EMEA for IT-industry companies working with Business Development, Strategic Marketing, Innovation & Transformation. Worked as a Management consultant
– Head of Sector Danish Ministry of Science
• Frm. Chairman of The Danish Board for Greater IT-security
• Frm. Member of ENISA’s Permanent Stakeholder Group
Christian Wernberg-Tougaard LinkedIn: www.linkedin.com/in/christianwernbergtougaard Twitter: @digitizeSociety Blog: http://digitizesociety.blogspot.dk/ [email protected]
4 | © 2012 Oracle Corporation – Proprietary
Agenda
• Societal ICT Transformations Impacting Public Sector
• Focus Areas for Implementing MIS-schemes using ICT
• Recommendations
5 | © 2012 Oracle Corporation – Proprietary
Trends impacting Public Sector / Social Welfare
The Digital Service Society (#TDSS)
The Data & Innovation Driven Society (#TDIDS)
The CIIP Demanding Society (#TCIIPDS)
The Automated, Robot Aided Society (#TARAS)
We are creating Next-Generation of Digital Society in EU.
6 | © 2012 Oracle Corporation – Proprietary
Digitalization of the Social Protection Staircase* Maturity and Effectiveness!
What about Fragmentation?
Minimum Income / Social Protection Floor (ILO)
Additional Rights
Contributory
Incre
asin
g s
chem
e c
om
ple
xity
Increasing Effectiveness & Maturity of Digitalization of Social Welfare / Social Security
(*) Based on Fabio Durán-Valverde (ILO) presentation at 13th ISSA ICT conference, Brasilia, 2012 and own adds.
Social
Insurance
Funded
Own payments
to extra
pension, extra
healthcare etc.
Universal Law
Granted Rights
The Nordics
Nigeria: Mandatory
contributions from
Employers for Social
Insurance (NSITF)
Netherlands: Complex
Digitalization of Social
Security (UWV) and Old-
age Pension (SVB)
Sweden: Automated
more than 12.000 rules
for a single benefit using
OPA -> achieved 99.98%
automation; and high
convinience for citizens.
Increasing:
• Rule Complexity
• Master Data
• System
• Privacy
• Stakeholders
• TCO (Cost)?
7 | © 2012 Oracle Corporation – Proprietary
Social Services Solution High Level Business Process
Very MIS relevant
8 | © 2012 Oracle Corporation – Proprietary
Complex Rules
Objective vs
Subjective
Digital Illiteracy
Payments Digitally
Characteristics of MIS-schemes: an ICT view!
National Differences Rules/Policies
•These variates between MS – not the processes.
•Hence a uniform system with individual rules, handle the complexities of peoples’ changes of circumstances.
ICT
•Especially among the target group its difficult to understand the rules
•Right people gets the right (financial) support they are eligible for at the right time.
Digital Inclusion Citizens
•Especially among the target group its difficult to understand the rules
•In Canada its estimated that 80% of Social Welfare recipients are digital illiterates
ICT
•Enabling Assistance Centers
•Provide Screening/Application via Smart Phone Apps.
•Empowered PVP (Public Volunteer Partnership)
• Social Media Awareness Rai.
Automation / STP Schemes subjective
• Subjectivity makes it difficult to ”compute”
• Transparancy and efficiency provided by objective rules – OGP.
ICT
•Adress ”Digital ready Law-making” (end-to-end).
• Subjective rules can be transformed to objective.
Digital Payments Gov. Pay. oldfashion
• Kenya more advanced than EU average (Mpesa).
•The poor / homeless are often not allowed banking
ICT
•Ecosystem that enables poor to access/spend MIS
•Ensure functionality alternativ/digital payment (barcode for food),
9 | © 2012 Oracle Corporation – Proprietary
Complex Rules
Objective vs
Subjective
Digital Illiteracy
Payments Digitally
Characteristics of MIS-schemes: an ICT view!
National Differences Rules/Policies
•These variates between MS – not the processes.
•Hence a uniform system with individual rules.
ICT
•Especially among the target group its difficult to understand the rules
Digital Inclusion Citizens
•Especially among the target group its difficult to understand the rules
•In Canada its estimated that 80% of Social Welfare recipients are digital illiterates
ICT
•Enabling Assistance Centers
•Provide Screening/Application via Smart Phone Apps.
•Empowered PVP (Public Volunteer Partnership)
• Social Media Awareness Rai.
Automation / STP Schemes subjective
• Subjectivity makes it difficult to ”compute”
• Transparancy and efficiency provided by objective rules – OGP.
ICT
•Adress ”Digital ready Law-making” (end-to-end).
• Subjective rules can be transformed to objective.
Digital Payments Gov. Pay. oldfashion
• Kenya more advanced than EU average (Mpesa).
•The poor / homeless are often not allowed banking
ICT
•Ecosystem that enables poor to access/spend MIS
•Ensure functionality alternativ/digital payment (barcode for food),
•In Sweden eligibility to the
Dental Benefit is contingent on
evaluation of more than 12.000
lines of policy/rules. Automated
this takes 1-2 seconds (com-
pared to up to 4 weeks) and
99.98% is automated.
•In Denmark around 25% of
population is functional illiterates
– why self-service is difficult.
• New instruments – like video-
self-service kiosks – helps
empower the poor/homeless.
•New Zealand (Te Tari Taake) is
leading on using ICT to enable
holistic connectivity between
”Idea->Law->ICT enablement”.
• A requirement to enable STP is
good master data management
– eg. UWV in Netherlands.
•Ireland – DSP – is currently
evaluating how to operate a
sophisticated ePayment system.
•Denmark is enabling homeless
with ”payment” through
NemKonto or ”Citizens service”
– latter might be stigmatizing.
10 | © 2012 Oracle Corporation – Proprietary
Challenge – digitalization of subjectivity (human interaction).
• A 100% subjective evaluation of ”fit” with rules and policies gives risk for citizens to be treated unequal -> rule of law issue. Denmark has a principle of not allowing ”evaluation/judgement” to be put under ”rule”.
• To support caseworkers doing ”human evaluation” requires strong knowledge sharing (what did others do in similar cases) and exact information on the individual (Best in Class Master Data).
• Automation can be achieved by incorporating digitalization thinking when drafting the legislation / policy in order to ensure ”non-interpretation” rules and master data consistancy.
11 | © 2012 Oracle Corporation – Proprietary
Technology Innovation: Policy Automation
Separating Processes and Rules makes Administrations much more agile.
12 | © 2012 Oracle Corporation – Proprietary
Recommendations for MIS-schemes and ICT
Always Use COTS. No Custom Coding. Let Business
do the Business.
Use Natural Language Rule Engines. Let Business do the
Business.
EU Cloud for Cross MS Eligibility Determination
Examine Payment options for the citizens. And ensure
assisted self-service
Enable Transparancy of Determination Path
Ensure automation/STP. Always humans behind
For effective solutions, Member States and The EU Commission should consider:
The 80/20 Rule still apply (80% Organisation and 20% Technology)
No-one can eat a whole Elephant in one bite.
Create implementation dialog between Customer, Implementer and Vendor.
Establish good master-data, as they form the foundation for correct determinations.
IMP
LE
ME
NT
AT
ION
BE
ST
PR
AC
TIS
E
13 | © 2012 Oracle Corporation – Proprietary