enterprise architecture blueprint

Enterprise Architecture Blueprint

Aligning People, Process, and Technology

May 2012

Agenda

Statistics 2020 Programme

Role of the EA team

EA blueprint and current status of implementation

Case study on Integrated Data Infrastructure

Lessons learned

Impact of future trends

Questions

2

Statistics 2020 Te Kāpehu Whetū…

3

5 Key Benefits

Continued supply of

important and trusted

statistics (B1)

An agile and responsive NSO able to respond

to changing needs (B2)

Costs to government, businesses,

and households

minimised (B3)

Increased use of government

data (B4)

Government has confidence that its investment in

official statistics is value-for-money

(B5)

Strategic priorities

…

4

•Relevant statistics•Standardisation•Administrative data•Business improvement

•Governance•People•Technology•Business intelligence and performance

•Accessibility•Responding to customer needs•Demonstrating the value of official statistics

•Increasing knowledge and capability

•Governance and participation•Relevance and integrity•Accessibility•Efficient and sustainable production

SP1Lead the Official Statistics System

SP2More value from official

statistics

SP3Transform delivery

SP4Sustainable organisation

Portfolios and Projects

5

EA and Statistics 2020 Statistics New Zealand’s enterprise architecture is aligned with and enables Stats 2020 to achieve early significant programme milestones:

Stabilise our systems (Risk)

Develop new operating platforms (Value)

Standardise production of groups of statistical outputs (Efficiency)

6

Risk

.

7

Role of the EA Team

.

8

Statistical clusters

.

9

.

10

Capabilities by position in EA

.

11

End-to-end capability roadmaps

.

12

Household survey platform

.

13

Capability Reuse

Case Study - Integrated Data Infrastructure

.

14

The IDI Solution

Micro Economic Process Platform

Data matching tool

(Quality Stage)

Data Sources / Systems

Super User

Super User Analyst

Cubes

Integration Platform

Information Access

Infrastructure

Data Access Tools

(SAS, Excel, R, other)

Analyst Super User Analyst

Use of Foundation (shared) services

Direct reuse

IDI – Use of Foundation Services

15

Savings per instance

16

Lessons learned

Alignment to statistical architecture

Clear business ownership

Be proactive and directly engaged

Management of change and migration

Start with small successes and build

Always be aware of the end goal

17

Impact of future trends

FROM

18

TO

All of Government ICT Transition

Industrialisation of Statistics

.

19

IT Trends that will shape Government ICT(Gartner)

.

20

Questions?

21