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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