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How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

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Page 1: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

How to make EA-work impact everyday-work – the Statistics NZ

story?

Workshop on the Modernisation of Statistical Production

April 2015

Page 2: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

TopicsDo we need to consider EA everyday?

What is influencing Statistics NZ and our Enterprise Architecture

Statistics NZ’s Enterprise Architecture - Simplified Framework

The scope of Enterprise Architecture• Our focus areas• Thoughts re current activity - Who we are working with

What is a Statistical Architecture• Economic• Social

Data Data everywhere

Other issues

Key focus areas

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Page 3: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

Do we need to consider EA everyday?

The strategic refresh is opening our minds to rethinking our future state in a range of new scenarios

The government has increasing expectations related to the proactive use of our expertise and capabilities in a world of increasing data and information

The world around us continues to evolve, offering new challenges and opportunities

Our current Enterprise and Statistical Architectures (economic and social) need to be reviewed and possibly integrated. This will also include the newly developed Methodology Architecture.

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Page 4: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

What is influencing Statistics NZ and our Enterprise Architecture?

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International Standardisation and Collaboration

NZ Government Enterprise Architecture

Better Public Services

Vision and Strategy

Open Networks

Cloud Services

Future State opportunities and drivers

Government ICTStrategy and Action Plan

Page 5: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

Statistics NZ’s Enterprise ArchitectureSimplified Framework

Framework• A methodology, or toolkit with guidance for helping achieve

consistent and optimal outcomes across the organisation

• By having consistent and optimal architecture we – ensure we focus on the conceptual model (operating model first)– clearly understand ALL our deliverables– Clearly understand the dependencies between our work streams– avoid the “technology first” trap (which constrains transformational

change) 5

Context - why

VisionStrategic goalsBenefit realisation

Conceptual - what

Operating modelActivity model (GAMSO)Information model (GSIM)Business servicesCapability reference architecture

Logical - how

Process models (gBPM or GSBPM (Int’l))Information architectureData architectureIntegration architectureSecurity architectureSolution architectureIndustry Reference Architecture (CSPA)

Physical – with

Organisation structureSkills/CapabilityApplications/SoftwareInfrastructureData

Page 6: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

The scope of Enterprise ArchitectureEnterprise Architecture is wide and inclusive in scope – but the Enterprise Architecture team does not ‘do’ everything, nor does it do anything alone. It seeks to provide an aligned and integrated view across all of these areas, developing roadmaps and options to support great decision making.

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Page 7: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

The defined business architecture areas.

EA for everyday – The businessarchitecture needs to be the primary focus

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Page 8: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

Our current activity (everyday)

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Strategic RefreshCustomer Focus Project

Enterprise Collection ProjectAdministrative Data First Project (EDA Advice)2018 Census (EDA Advice)

Strategic RefreshCustomer Focus ProjectData Futures ForumGovt ICT Action Plan

Strategic RefreshPeople Strategy Refresh

Social Statistics ArchitectureStatistical Architecture (economic)Business OptimisationMethodology ArchitectureAdministrative Data First Project Operating Model - Processing

Page 9: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

High level description of how we will process/organise/ manage our data to meet customer needs

International frameworks and standards influence it

Explains how we will integrate survey and admin data

We currently have separate social and economic statistical architectures. Do we need an integrated one?

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What is Statistical Architecture

Customer Requirements

Conceptual Frameworks

Data Availability

Page 10: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

Approved in 2007

Shift from a Survey Paradigm to Admin Data paradigm with Surveys filling the gaps

Unit Record data research was a key driver

Business Register to integrate data

MEP developed to support the Architecture

Introduced automated data processing

Research is mostly complete, so we are ready for the full implementation

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Economic Statistical Architecture

Page 11: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

Completed in 2010, but more tentative

Social is much harder to do than economic

Confirmed three survey vehicle

Big issue to be resolved: should we move from a survey model supported by admin data to a an admin data model supported by surveys.

Future census research is clarifying this issue

Property data frame being developed.

IDI has grown faster than expected.

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Social Statistics Architecture

Page 12: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

Data Data Everywhere

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Page 13: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

Customer focus activities will adjust requirements

Methodology Architecture

Quality Management Framework

Business optimisation

Business Improvement

Operating Model for Processing

End-to-end view

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Other Issues to be Integrated

Page 14: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

Enterprise Architecture Focus Areas – to be useful in every day work

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•Keep the focus on the strategic outcomes•Control the scope (work in capabilities not monoliths)•Don’t do ICT for the sake of ICT

Successful Transformation

•Customer expectations are being set by accelerating advances in technology and their experiences with the private sector

•Customers expect immediate access to our services via any channel and any device

The expectations and needs of our customers are

changing

•Shift in focus: from monolithic big-bang implementation to iterative capability development

•Services orchestration over systems replacements

Right Size Enterprise Architecture

•Apply agile methodology and techniques to EA delivery•Key components include partitioning, architecture sprints, close customer collaboration and national and international collaboration and integration

Lean Enterprise Architecture

•In order to embrace agile EA combine top-down strategic architectures with bottom-up capability architectures

Top-down and Bottom-up Architectures

Page 15: How to make EA-work impact everyday-work – the Statistics NZ story? Workshop on the Modernisation of Statistical Production April 2015

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Thank You