Statistics New Zealand's Move to Process-oriented Statistics Production Julia Gretton and Tracey Savage IAOS Conference Shanghai, China, October 2008.

Statistics New Zealand's Move to Process-oriented Statistics Production

Julia Gretton and Tracey Savage

IAOS ConferenceShanghai, China, October 2008

Objectives

• Increase confidence in outputs

• Improve communication

• Support business and IT planning

• Improve staff orientation and training

• Improve quality and risk management

Business process modelling

Generic model

• Recognise common processes

• Understand similarities and differences

• See where our role fits

• Identify opportunities to standardise

Prioritise efforts

• Actual stateCollectNeed DisseminateDesign/

DevelopProcessBuild Analyse

Prioritise efforts

• Actual state

• Desired stateCollectNeed DisseminateDesign/

DevelopProcessBuild Analyse

CollectNeed DisseminateDesign/Develop

ProcessBuild Analyse

Expected benefits of transformation

• Decrease time processing data

• Increase time building capabilities

• Improve responsiveness to users

• Improve access

• Increase use of administrative data

• Allow complex data integration

• Facilitate business and IT planning

Collect

10 Conceptual componentsProcess Analyse Disseminate10. Dashboard / Workflow

2. Output Data Store

CleanData Data

1. Input Data Store

RawData

RADL

Web

Ou

tpu

t C

ha

nn

els

Mu

lti-Mo

da

l Co

llec

tion

CURFS

INFOS

E-Form

CAI

Imaging

Admin.

Data

Off

icia

l Sta

tistic

s S

yste

m &

D

ata

Arc

hiv

e

SummaryData

‘UR’Data

2. Output Data Envt.1. Input Data Environment

9. Reference Data Stores

7. Respondent Management 8. Customer Management

RADL

Web

Ou

tpu

t C

ha

nn

els

Mu

lti-Mo

da

l Co

llec

tion

CURFS

INFOS

E-Form

CAI

Imaging

Admin.

Data

Off

icia

l Sta

tistic

s S

yste

m &

CleanData

AggregateData

RawData

SummaryData

‘UR’Data

Da

ta A

rch

ive

3. Metadata StoreStatistical

Process

Knowledge Base

3. Metadata EnvironmentStatistical

Process

Knowledge Base

4. Analytical Environment

5. Information Portal

6. Transformations

Personal experiences

• Develop new processing system

• Obligation to meet survey release dates

• Constrained resources and time

• Compromises made

• Resulting system meets all our needs and aligns with many of the principles

Lessons learnt to date• Statistical outputs compete with strategic

outputs • Complex governance, no one single

programme owner

Focus is on separate components, rather than end-to-end solution

Driven by software solutionsAssumed ease of integrating these

Future plans

• Shift focus to people, processes, methods

• Promote wider use of existing tools• Resource development projects

separately • Continue to improve governance and

ownership of key deliverables

People Process Methods Software

Conclusion

• Seeing benefits from becoming more process-oriented

• Challenges around implementation• The principles are sound and are still

strongly supported• Change is gradual and at many levels

– Culture, behaviour, processes, standards and technology

Thank you

For further information please contact:

[email protected]

or

[email protected]