Business Architecture model within an official statistical context

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)


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


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


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)


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)


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


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


Infrastructures


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


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


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


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


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


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


Contacts:

[email protected]

www.istat.it

Thank you for your attention


Documents

Business Architecture model within an official statistical context