Eurostat

Towards an ESS Enterprise Architecture Reference Framework (work in progress) ESS Enterprise Architecture Task Force Eurostat, Unit B1: Methodology and corporate architecture

SISAI – METADATA WG – Item 4.2 Luxembourg, June 2015

1

Users

Quality

Production Processes

New data sources

Portfolio

Portfolio of activities to implement the ESS Vision 2020

in the 5 key areas

Enterprise

Architecture

principles

GEMS – Generic Enterprise

Model for Statistics

Dissemination

ESS Vision Implementation An inclusive approach

2

ESSC declares

"We will develop an ESS Enterprise Architecture to serve as

a framework for implementing our Vision"

Expected benefits • A common language for describing what business wants

• Link ESS Vision 2020 with the design and implementation of ESS business

processes, information assets, IT applications and infrastructure elements

• Coverage and coherence (business-IT) check of the portfolio

• Standardisation of processes

• Reuse and shared development of production components (services)

• Framework for elaborating and deciding on modernisation strategies and

roadmaps

3

THE ESS ENTERPRISE ARCHITECTURE

REFERENCE FRAMEWORK

4

Business Capabilities

Principles

Architecture building blocks

Statistical Production Reference

Architecture

All artefacts are interlinked and made coherent with the ESS Vision 2020

ESS EA RF components

5

Positionning ESS EA RF artefact

To

executio

n

Contextual

Conceptual

Logical

Physical

Detail

Level of

abstraction

What

One solution More - All solutions

Vision 2020 (Business direction)

Business Architecture

Information System Architecture

Application architecture

Technological architecture

Information architecture

Statistical

production

reference

architecture ESS EA

Building

Blocks

Secu

rity A

rch

itectu

re

In development - TF ESS EA Sprint on 4-5 June 2015

Business

Capability

Model

6

ESS BUSINESS CAPABILITY MODEL

7

ESS Business Capability Model – Level 0 & 1

Statistical Production Management

Strategy Management

Corporate Support Management

New statistics development

Statistical Data collection

Statistical Dissemination

Information Resources Management

Statistical Design

Quality Management

Statistical Analysis

Human Resource Mgt. Digital Assets Mgt.

Financial Mgt.

Procurement Mgt.

Ensure Security

Processes Mgt. Legal framework Mgt.

Administrative Mgt.

Policy definition Mainten. & consol. of

strat. relations Strategic Planning PPM and budget def.

Statistical Processing

8

Analysis

Business Capability Model – Level 2

New statistics development

New data

sources

exploration

Legislative work

participation

Statistical

product

innovation

Methods and tools

devevelopment for

new statistics Statistical Data collection

Provision

agreement

management

Primary data

collection

Collection of

administrative and

other data sources

Metadata

collection and

management

Statistical Dissemination

Release Mgt.

Products and

services

promotion

Flexible data

access

provisioning

Statistical

Content mgt.

Information resources Mgt

Statistical Data

mgt Metadata Mgt.

Statistical Design

(Re) Design

production system,

statistical services,

and rules

Process &

workflow design

Process methods

design

(Re)Design

statistical

outputs

Quality management

Quality

assessment

Quality control

mechanisms mgt.

Processing

Statistical production management

Statistical data

preparation

New variables

and units

derivation

Calculation and

finalization of

output

Statistical

Registers

Management

Statistical output

analysis

Understand user

needs

9

Strategy Origination & Initiation

Planning Planning & Prelim Design

Execute Build/Test/Deploy

Manage Post-Implementation Transition

VIG - STRATEGY PROJECT/PROGRAMME MANAGEMENT

ESS EA RF and project life cycle

Business Capabilities Business Capabilities

10

Portfolio attractiveness

11

ESS EA PRINCIPLES

12

ESS EA Principles

• Capabilities are reusable

• Solid cost-benefit

• Sustainability

• Adaptive Project Management

• Continuous delivery

• Innovation

• Automation

• Communication

• Configurable

• Existing standards

• Information needs

• Quality enabled

• Useful for users

• Reuse of

information

• Reuse-b4-built

• Scalability

• Security

• Standards

Decision Design

Pro

ject

Solu

tion

13

Strategy Origination & Initiation

Planning Planning & Prelim Design

Execute Build/Test/Deploy

Manage Post-Implementation Transition

VIG - STRATEGY PROJECT/PROGRAMME MANAGEMENT

ESS EA RF and project life cycle

Business Capabilities Business Capabilities

EA Principles

14

ESS ARCHITECTURE BUILDING BLOCKS

15

Architecture Building Blocks (ABB)

The ESS EA RF identifies ABB

which

1. homogeneous high-level

functional components

supporting the statistical value

chain and the related

capabilities

2. provide a basis for organizing

technical infrastructure and

services

Business

capabilities

Architecture

building

blocks

Technical

infrastructure

16

1. Autonomous: Business processes and systems are designed and operated without coordination

with processes or systems in other units. This applies to those architecture components that are

distinct.

2. Interoperable: Coordination is through interoperability. NSIs/Eurostat have the autonomy to

design and operate their own solutions, as long as they have the ability to exchange information

and operate together effectively (of the solutions).

3. Replicated: Coordination is through duplication. NSIs/Eurostat have implemented identical

business processes, solutions and information.

4. Shared: There are common business processes, a single instance of a solution and information

that is shared by all the NSIs and Eurostat.

ESS goverance (what do we share ?/ what is unique ?)

17

The ESS target state architecture is a federated architecture supporting principles of opt-

in, opt-out and subsidiarity.

18

ESS STATISTICAL PRODUCTION

REFERENCE ARCHITECTURE

19

provides

• A generic architecture linking the key infrastructural

components

• A functional view of the 3 main business functions of statistical

production

• A tentative list of business services and their link with the

Architecture building blocks;

• A set of design principles

• Scenarios for ESS deployment (opt-in / opt-out)

ESS Statistical Production Reference Architecture

20

Tentative Target Architecture : (ESS) Statistical Production Reference Architecture

Process Control, QA, process metrics, collaboration (Dashboard)

Orchestration / Workflow (responsible for interprocess data and metadata communication)

Supporting services (Secure IT infrastructure, IAM, data, data exchange service)

Represents flows of data and metadata

between orchestrator and individual services

Represents data or metadata focused

services

21

ESS Collaboration

NSI 1

ESS Level

NSI 2

22

Business function decomposition

5.1. Integrate data5.2. Classify and

code

5.3. Review, validate

and edit5.4. Impute

5.5. Derive new

variables and

statistical units

5.6. Calculate

weights

5.7. Calculate

aggregates

Classify & code

Data visualization and

manipulation

Validation Imputation Statistical Operations Aggregation

ESS Data

Exchange

Platform

Primary Data

StorageUnified

Metadata

System

Collaboration

Platform

Identity &

Access MgtSecured IT

Services

Data integration

service

Match / record

Prioritize

Anonymize data

Data

visualization

and

manipulation

Process

6.1. Prepare draft

outputs

6.2 Validate outputs

6.3 Scrutinize and

explain

6.4. Apply disclosure

control

6.5. Finalize outputs

Analyse

Transformation Check disclosure Other services

Disseminate

Dissemination Reporting

Dissemination

platform

Data reporting

and exchangePublishing

Collect

Data Collection

Services

Data

Collection

Used by

Aggregation

Realization

Process

Service

Component

Flow

Statistical

production

system

23

Strategy Origination & Initiation

Planning Planning & Prelim Design

Execute Build/Test/Deploy

Manage Post-Implementation Transition

VIG - STRATEGY PROJECT/PROGRAMME MANAGEMENT

ESS EA RF and project life cycle

Architecture building blocks

EA Principles

ESS Statistical Production Reference Architecture

Business Capabilities Business Capabilities

24

ESS EA IN OPERATION AND CHALLENGE

25

EA deployment for Vision implementation : first ideas

1. Target:

• Imbed EA in ESS Vision Implementation Projects

• Ensure coherence through ESS EARF

2. Building EA capabilities in the ESS

• ESS EA virtual community

• ESS EA trainings

• Sharing best practices

• ESS EA RF guidelines for project managers

3. EA governance:

• DIME/ITDG owner of the ESS EA RF

• EA steering board