Enterprise Architecture 2.0:
Accelerating Transformation at StatCan
Robert McLellan
Chief Enterprise Architect
April 25, 2013
Enterprise Architecture 2.0
 What do we mean by “Enterprise Architecture 2.0?”
1. Adoption of a Service-Oriented Architecture (SOA) approach to
our enterprise architecture
2. A shift in focus beyond “bottom-up” technology standardization
to service portfolio management (business services / IT
services linkage)
3. Address the “business process management” gap
4. Leverage international models and standards in our enterprise
architecture – be part of the Common Statistical Production
Architecture (Plug and Play) movement
2
Statistics Canada • Statistique Canada
Corporate Business Architecture (CBA)

StatCan’s modernization program was created in 2010 with these objectives:
•
•
•

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Create harvestable efficiency on on-going operating costs to meet financial goals for savings
and investment
Enhance quality assurance through implementation of a reduced, unduplicated set of more
robust systems and processes
Improve responsiveness in delivery of new statistical programs through streamlining of core
business processes
Phased implementation – transformation projects organized in waves
Key CBA Principles
 Corporately optimal decision making
(away from locally optimal)
 Meta-data driven processes
 Optimize use of corporate services, centralizing where there is
leverage from economies of scale, pooling of resources (e.g.
Collection, Dissemination)
 Maximize reuse through achieving smallest number of distinct
business processes and enabling computer systems
 Minimize toolkits (software tools)
 Strong Statistical Information Management – Data Service Centre
 GSBPM is the core business process framework
Preliminary CBA Services Identified
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Methodology service
Business and institutional frame service
Household frame service
Questionnaire design resource centre
Collection service
Operations service
Data service centre (Statistical IM)
Internet dissemination service
Inquiry service
Processing service (business and social)
Enterprise Architecture 2.0
 What do we mean by “Enterprise Architecture 2.0?”
1. Adoption of a Service-Oriented Architecture (SOA) approach to
our enterprise architecture
2. A shift in focus beyond “bottom-up” technology standardization
to service portfolio management (business services / IT
services linkage)
3. Address the “business process management” gap
4. Leverage international models and standards in our enterprise
architecture – be part of the Common Statistical Production
Architecture (Plug and Play) movement
6
Statistics Canada • Statistique Canada
Preliminary Enterprise Architecture View
Program Activity
Architecture
Add this

This is an example of an
approach being used by
some Government of
Canada departments
EA needs to deliver better
“tools” to planning and
portfolio management to
support decision making

Current focus
7
Statistics Canada • Statistique Canada
Business Services
Information Systems /
Enablers
GC IT Services
Current IM/IT Portfolio
Target Suites
Technology Reference
Model
Preliminary View – Statistical Business Services
Statistical Production Services
Data file finalization
Aggregate calculation
Weight calculation
New variable and
statistical unit
derivation
Imputation
Review, validation,
and editing
Data classification &
coding
Data integration
Production system
finalization & release
Statistical business
process testing
Production system
testing
Workflow
configuration
Process component
build
Data collection
instrument
Production systems &
workflow design
Statistical process
methodology
Action planning
Evaluation execution
(conduct)
Evaluation input
gathering
Data & associated
metadata disposition
Data & Associated
metadata preservation
Archive repository
management
Archive rule definition
User support
management
Dissemination product
promotion
Dissemination product
release management
Dissemination product
production
System output
updating
<tbd>
Modeling
Analysis
Concordance
Management
Classification
Updating
Classification
Definition
Metadata
export
Metadata
Search
Metadata
import
Geo
Data
management
Data validation
Data
acquisition
Business
register
Address
register
<tbd>
QDRC
<tbd>
<tbd>
<tbd>
<tbd>
International
Collaboration
<tbd>
<tbd>
<tbd>
Business
Methods
Frame & Sample
Methodology
Output finalization
Disclosure control
application
Scrutinizing &
explaining
Output validation
Data output
preparation
Collection finalization
Collection operation
Collection set-up
Sample selection
Social
Methods
Collection
Methodology
Variable description
Output design
Business case
preparation
Data availability
validation
Concept identification
Output objective
planning
Stakeholder
consultation
Information needs
analysis
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8
Other
Macro Accounts
Classification
G
o
e
Metadata
Management
Admin data
management
Register
Services
Household
Methods
Quality
services
Research &
Dev’t
Statistical Analysis & Modeling
Statistical Infrastructure Services
Methodology Services
Performance evaluation
Archive (statistical)
Dissemination
Analysis
Collection
Processing
Build
Design
Needs analysis
Motivation for change !
Enterprise complexity drives inefficiency and limits responsiveness
9
Statistics Canada • Statistique Canada
Government of Canada (GC) Factors
 Government “Infrastructure as a Service”
• Shared Services Canada (SSC) was created in 2011 to provide
datacenter, network, and corporate email services
• Future vision – “government cloud service provider”
 Back-office “Software as a Service”
• Prescriptive standards for Enterprise Resource Planning (SAP,
PeopleSoft)
• Prescriptive standards for Document and Record Management
(OpenText ECMS)
• Departments encouraged to form “hosting clusters”
 Centralized procurement of desktop solutions
 Clear architectural layering and decoupling is essential to manage
change, service performance, continuity of operations
•
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E.g. changes in network topology, email-enabled systems, hosted solutions
Statistics Canada • Statistique Canada
Views
Open Group Service Integration Maturity Model
Increasing maturity (SOA)
Source: http://www.opengroup.org/soa/source-book/osimmv2/model.htm
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Why do we need to change?
Monolithic.
No integration.
Monolithic. Some
layers
or tiers.
Point-to-Point
Current
State
ESB = Enterprise Service Bus
BPM = Business Process Mgmt
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Enterprise-wide.
Services + SOA
patterns.
Some ESB
Crossorganizational.
Layers or tiers.
More integration
Target
State(s)
Enterprise-wide.
Composite Services
ESB
Statistics Canada • Statistique Canada
Adaptive Enterprise
Dynamic reconfig. by
Biz Analysts.
Dynamic integration.
Integrated across
the enterprise and
external partners.
ESB + BPM
StatCan “Anchor” Model
Core Production Segments
Business Surveys Processing & Analysis
Input
Channels
System of National Accounts& Analysis
Collection
Dissemination
Social Surveys Processing & Analysis
Output
Channels
Census Processing & Analysis
GC back
office
Corporate Administrative Processes
Coding
Core Statistical
Services
Questionnaire
Design
Sampling
Edit &
Imputation
Estimation
Tabulation /
Analysis
Modelling
Confidentiality
Core Information Services
Technology Layer
Data
Registry
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Tax
Address
Registry
Core Technology Platforms
Doc’t / Record Mgmt
Office Productivity
Business
Registry
Portal
Geography
WCMS
GIS
Enterprise Application Integration
Identity & Access Mgmt
Information
Mgmt
Other Metadata
ERP
Databases
Statistical Data Mgmt
File Svcs
Workflow / BPMS
CRM
BI / DW
Core Infrastructure Services (Data Centre, Network, Email, Desktops, Virtualization,
Archive, IT Security Services)
Statistics Canada • Statistique Canada
Classification
Collaboration
App’n Technology
Statistical Analysis
SSC
Typically, no given organization is at the same level of maturity in each of these dimensions. It is not atypical to find,
say, an Application development maturity of Level 3, but a Business maturity of Level 1 at a given organization. The
value of the table in Figure 6.1 is to not only map the current level of maturity for a given organization (or department
within an organization) along various dimensions, but to also show how a given project roll-out will help in increasing
the maturity of the department/organization along these various dimensions of maturity.
StatCan Enterprise Application
Integration Platform (EAIP)
6.3
 Investigation started in 2008
with business analysis
 Acquired Oracle BPM Suite
platform in May, 2013
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•
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Enterprise Service Bus
BPM Engine for process
automation and orchestration
Business Activity Monitoring (in
support of dashboards,
operations)
Service Registry and Repository
Complex Event Processing
engine
 Lead solution project –
Integrated Business Statistics
Processing platform (IBSP)
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Operationalizing Service Oriented Integration through Planned
Projects
When seeking to begin transformation of an education institution’s IT systems to a more service oriented approach, it
is important to take the long term, strategic perspective as well as the tactical pragmatic perspective. The strategic
perspective lays the vision and roadmap, while the tactical approach ensures that your current projects deliver value
while taking you towards the realization of the overall vision.
Core
Information
Services
z
EAIP
SOA
Governance
IBSP, CBA
Figure 6.3 Four Step approach to SOA.
Sample SOA 4-step roadmap
Service oriented architecture always places an extraordinary level of importance on the enterprise domain and the need
for alignment between the capabilities of technology and the services being delivered by the enterprise. Furthermore,
given the high number of packaged
in Education,
to take that
first, holisticfor
view of the
Source:applications
“White Paper:
Adoptionit is
of imperative
Service Oriented
Architecture
organization and its IT architecture
and Systems
lay down an
for the Enterprise.
In other
words,
Enterprise
in integration
Education:strategy
Recommended
Practices”
(September
understanding the IT systems
that need
to integrate with each other coupled with an understanding of the data elements
2009)
http://www.imsglobal.org/soa/
that flow between them greatly simplifies the creation of a flexible and agile service oriented architecture.
Statistics Canada • Statistique
Canada
IMS Global Learning
Consortium, Inc.
www.imsglobal.org
25 of 69
Target Service Suites
Statistical Production Services
Collection Services
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Survey Planning
Instrument Generation
ICOS Governance
Sample Management
Training
Collected Data Management
Response Collection
Workload Management
HR Management
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Logistics
Case Management
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Response Processing
Collection Systems Operation
Survey Pre-Production Testing
Survey Progress Monitoring
Pre-Collection Respondent
Communication
Respondent Support
Internal Communication
•
Web service /
EAIP services
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15
•
Web service /
EAIP services
Admin Data
Management
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To be determined
Data validation
Data acquisition
Data management
To be determined
Alignment with FGP ?
Data Service
Centre(s)
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“New Dissemination Model”
Single Output Database
CLF compliance
OpenData portal
Syndication
Social Media
Web Services
Census 2016 Platform
Metadata
Management
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dataset
Statistics Canada• • Steady-state
Statistique
Canada
management
DSC
NDM
To be captured
C-2016
Geography
Services
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•
Dissemination
Services
Census
Tabulation
Confidentiality
Sampling
Edit & Imputation
Etc.
Statistical Infrastructure Services
Address
Register
Services
Common processing
platform for all socioeconomic, labour,
health surveys
Generalized
Systems
Services
G-Suite
Business
Register
Services
•
Common processing
platform for all
business / microeconomic surveys
Environmental ?
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Macroeconomic
Analysis &
Modeling
SSPE
IBSP
ICOS
•
•
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Social
Processing
Services
Business
Processing
Services
Search / discover
Statistics Canada • Statistique Canada
Statistical Metadata
•
Management Strategy •
implementation
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Metadata Portal
Stewardship
Model repository?
Metadata search
Classification
Services
Classification Management
Concordance Management
Common services
CCE
Key Transformation Projects
Enterprise Architecture 2.0
 What do we mean by “Enterprise Architecture 2.0?”
1. Adoption of a Service-Oriented Architecture (SOA) approach to
our enterprise architecture
2. A shift in focus beyond “bottom-up” technology standardization
to service portfolio management (business services / IT
services linkage)
3. Address the “business process management” gap
4. Leverage international models and standards in our enterprise
architecture – be part of the Common Statistical Production
Architecture (Plug and Play) movement
16
Statistics Canada • Statistique Canada
Client User Pathways
A client user pathway represents the flow of interaction between a client (user) and a system towards
an eventual outcome. The word “system” is used in the general sense, and doesn’t have to represent
an IT system specifically.
Diagrams Source: James Kelway, http://userpathways.com
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Statistical SOA Value Proposition
 As discussed at MSIS 2011,
2012 (Engdahl et al.)
 Process-driven approach to
solution delivery
 Design-time and run-time
binding of functionality
 SME, Methodology,
Business Process Designers
can create their own
solutions via configurations,
process design changes
 Addresses the Design / Build
bottleneck (SNZ paper)
 Anchored on GSBPM, GSIM
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Source: Tentative anatomy of a new generation of IT-architecture to
support GSBPM-processes, Jakob Engdahl and Hans Irebäck, Anders
Holmberg Statistic Sweden, Sweden MSIS 2011 Luxembourg
Statistics Canada • Statistique Canada
How do we design, use, and manage
statistical production processes?
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How will Subject Matter,
Methodology, Statisticians
design, configure, and use
solutions?
What are the key roles?
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Service portfolio
management
•
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Business Analysis
Business Process Design /
BPM automation
Developers, Assemblers
Operators, …
Identification, design, delivery
of services
Role of Enterprise
Architecture
Statistics Canada • Statistique Canada
Source: Combining Business Process Management and Enterprise
Architecture for Better Business Outcomes, Jensen, Cline, Owen. IBM
Redbooks. March 2011
StatCan and “Plug and Play”
 StatCan hosted Plug and
Play Architecture Sprint 1 in
Ottawa
• Draft 0.1 out for controlled
review
 Next generation of
component sharing and
collaboration
• “Beyond Banff and Blaise”
 Potential to make important
contributions to our collective
transformation
20
Statistics Canada • Statistique Canada
Conclusion
 We have embarked on the next part of our Enterprise
Architecture “journey” at StatCan
• Adoption of a Service-Oriented Architecture (SOA) approach to
our enterprise architecture
• A shift in focus beyond “bottom-up” technology standardization
to service portfolio management (business services / IT services
linkage)
• Address the “business process management” gap
• Leverage international models and standards in our enterprise
architecture – be part of the Common Statistical Production
Architecture (Plug and Play) movement
 Our goal is to accelerate the realization of StatCan’s
Corporate Business Architecture transformation
21
Statistics Canada • Statistique Canada