business architecture model within an official statistical context
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Business Architecture model within an official statistical context
Nadia Mignolli
Giulio Barcaroli, Piero Demetrio Falorsi Alessandra Fasano
Italian National Institute of Statistics (Istat)
Department for Integration, Quality, Research and Production Networks Development (DIQR)
Dublin, April 14th – 16th 2014
Meeting on the Management of Statistical Information Systems - MSIS 2014Topic (iv): Architecture
Outline
Background
Main reference definitions
Changes and new features
BA Business Lines: contents and activities
BA model
Principles
Lessons learned
Nadia Mignolli. Dublin, April 14th – 16th 2014
Background
Istat modernisation programme Stat2015 has the main purpose of Standardisation and Industrialisation of the statistical production process which has to be:
consistent with current actions carried out at international and European level (SN BA Project; CSPA; EU vision - from 1.0 to 2.0)
cost-efficient (re-use of data, methods, processes, tools)
aligned both with organisational frameworks adopted by mature industries (Service Oriented Architecture – SOA) and with statistical standards (GSBPM 5.0; GSIM)
This organisational change needs a shared vision and a common language to undertake congruent innovation paths
Business Architecture (BA)
Nadia Mignolli. Dublin, April 14th – 16th 2014
Steps forwardsFirst proposal: elaborated by the Sponsorship on Standardisation on the basis of Statistics Netherlands (CBS) model
Current BA Model: a joint task of
Statistical Network - the Business Architecture Project (Institutes of Australia, Canada, Italy, New Zealand, Norway)
ESSNet on Standardisation (to refine the Sponsorship proposal)
BA model sharable and adoptable by NSIs: this represents the foundations to foster and intensify the creation of a BA model at international/European System level, considering higher level interactions
Nadia Mignolli. Dublin, April 14th – 16th 2014
Enterprise Architecture Layers
Statistical Network BA Project Team (shared also with CSPA), 2013
Enterprise Architecture (EA) EA is about understanding all the different elements that make
up the enterprise and how those elements interrelate. It is an approach to enabling the vision and strategy of an organisation, by providing a clear, cohesive, and achievable picture of what is required to achieve this target
(Statistical Network BA Team Project, 2013)
Business Architecture (BA) the conceptual part of the EA
within an NSI, it drives the overall EA
it covers all the activities undertaken to produce statistical outputs, including conceptualisation, design, build and maintain information and application assets
(Statistical Network BA Project Team and CSPA, 2013)
Main Reference Definitions
Nadia Mignolli. Dublin, April 14th – 16th 2014
EA and BA Interactions
Statistical Network BA Project Team (shared also with CSPA), 2013
Changes and New Features
Alignment of all the activities defined within BA business lines with phases and sub-processes of GSBPM 5.0
Consistent definition of Decision and Design principles
Implementation of infrastructures based on Repositories of:
Human Resource Competencies (RHC)
Data and Metadata (RDM)
standard Methods and Guidelines (RMG)
Tools and Applications (RTA)
Nadia Mignolli. Dublin, April 14th – 16th 2014
BA Business LinesIn order to achieve harmonisation for the involved organisations is advisable to:
define their strategic objectives and plan the activities that allow to achieve them (Strategy)
support functions that develop work programmes (Corporate support)
design the processes corresponding to the planned activities (Design)
organise the designed processes taking into account the operational constraints (Management)
implement the processes ensuring efficiency and quality (Implementation)
provide capabilities to undertake all the above activities (Capability)
Nadia Mignolli. Dublin, April 14th – 16th 2014
BA Business Line ContentsHigh level strategic, externally focused, cross-cutting and support functions and activities
Essential for the functional organisation and for the statistical process control
Its products embrace: scheduling of activities, description of results, state implementation, quality reports
It realises the value chain from the initial sources to the statistical information
Development and management of capabilities underpinning the statistical production process through repositories
Nadia Mignolli. Dublin, April 14th – 16th 2014
CAPABILITY
DESIGNMANAGEMENTIMPLEMENTATION
STATISTICAL PRODUCTION
CORPORATE SUPPORT(Legal framework;
HR, Finance and Administrative Management; etc.)
STRATEGY(Strategic relations; Strategic
planning; Policy definition; budgeting; etc.)
I7I6I6I4,I5
CORPORATE SUPPORT: Legal framework; HR, Finance and Administrative Management; etc.
Planning (HR, etc.);Monitoring; Adjustment
Design production system and
rules
Check data availability
Design outputs
Determine needs for
information
Portfolio manageme
nt
Process, method and quality reference metadata
Metadata - Scheduled
actions
Metadata - Planned quality
Re-use/development and release
Raw input data and metadata
Collect ProcessAnalyse:
validate and finalise output
Dissemination (also with
Web 2.0/3.0 )
Analyse: applydisclosure
control
Validated internal
microdata and metadata
Internal aggregated
data and metadata
Output Micro and macro data and metadata
STRA
TEG
Y an
d CO
RPO
RATE
SU
PPO
RTD
ESIG
NM
AN
AG
EMEN
TIM
PLEM
ENTA
TIO
N
Stakeholders
Users
Respondents/Administrative
sources/Big DataMetadata -
Catalogue:productsquality
Metadata - ProgressReports (Audit)
From S1 to S4
D4 D3 D2 D1
I1 I2,I3
From M1 to
M3
Repository of Data and Metadata
RDMRepository of standard
Methods and Guidelines
RMG
Reference and structural metadata
Strategic planning metadata
Repository of Tools and
Applications
Repository of Human
Resources Competencies
RHCRTA
CAPA
BILI
TYST
ATI
STIC
AL
PRO
DU
CTIO
N
M S; CSD4
From C1 to C4
STRATEGY: Strategic relations; Strategic planning; Policy definition; budgeting; etc.
From CS1 to
CS5
The BA Model
Nadia Mignolli. Dublin, April 14th – 16th 2014
Infrastructures
Nadia Mignolli. Dublin, April 14th – 16th 2014
The most important infrastructures needed for the efficiency and efficacy of the overall process are:
the Repository of Human Resource Competencies (RHC), that gathers information concerning employee skills;
the Repository of Data and Metadata (RDM), containing input data, intermediate data and output data ready for dissemination, with defined quality standards and metadata
the Repository of standard Methods and Guidelines (RMG), that contains the set of statistical methods, recognised as standards, to be applied to processes
the Repository of Tools and Applications (RTA), including three distinct categories of software (generic IT tools, reusable applications and ad hoc applications)
Principles The whole BA model is led by fundamental
principles that become practical guidelines for the implementation of each business line activity and for ensuring the success of the model itself
Different Decision (7) and Design Principles (9) have been suitably defined, also taking into account the international and European context
Principles regard the overall governance, the process rules and the specific infrastructures
Nadia Mignolli. Dublin, April 14th – 16th 2014
Key Messages from BA Principles (I) The whole statistical process is output and metadata-driven
The statistical process chain starts from the output desired (from required products) and goes backwards, defining the various aspects of the process
Firstly metadata are designed and then data production can start
Metadata have to be generally accessible and, as far as possible, standardised with regard to the types of units, the definition of concepts, classifications, quality characteristics, process
Quality Assessment
Quality has to be evaluated and documented at the different stages of the statistical production process
It is defined and planned during Design or Redesign
It is monitored and assessed at each stage and in correspondence of intermediate and final data releases
Nadia Mignolli. Dublin, April 14th – 16th 2014
Key Messages from BA Principles (II)
Re-use and Adoption of Standards: Repositories
Focuses on both what is produced within the Institute and what is issued outside, with particular attention to the standards defined at international and European level
Reuse of existing and available data is generally to be preferred over the decision to conduct a new survey
The “to be” production consists of a series of standardised single processes and of modular services that can be shared and reused in different contexts and statistical areas
Developments from scratch should be limited
Nadia Mignolli. Dublin, April 14th – 16th 2014
Key Messages from BA Principles (III)
Industrialisation of the Statistical Process
Ensuring the independence between Design and Implementation
A process can be realised by agents other than those who have designed it
Design is performed only when needed, while a current statistical process is carried out on a regular basis
Implementation of a new project involving several innovations requires a new Design phase
Statistical production has a repetitive nature with a rather rigid organisation style that can be largely automated
Nadia Mignolli. Dublin, April 14th – 16th 2014
Concluding Remarks The adoption of a common language (BA model) becomes
essential to undertake congruent innovation paths
A BA model sharable and adoptable by NSIs represents the foundations to foster and intensify the creation of BA model at international level, considering higher level interactions
This is consistent with what is taking place at national, European and international level
Central Bank of Italy (direct comparisons and evaluation of the work)
Sponsorship and ESSNet on standardisation Statistical Network High-Level Group for the Modernisation of Statistical Production
and Services
Nadia Mignolli. Dublin, April 14th – 16th 2014
Next Steps Alignment of BA business line activities within the Statistical
Network
BA guiding principles in details
Communication process
Infrastructure implementation both in terms of procedures and shared services
Nadia Mignolli. Dublin, April 14th – 16th 2014
Contacts:
mignolli@istat.it
www.istat.it
Thank you for your attention
Nadia Mignolli. Dublin, April 14th – 16th 2014
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