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 14 th – 16 th 2014 Meeting on the Management of Statistical Information Systems - MSIS 2014 Topic (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 14 th – 16 th 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 14 th – 16 th 2014

Steps forwards  First 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 14 th – 16 th 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 14 th – 16 th 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 14 th – 16 th 2014

BA Business Lines In 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 14 th – 16 th 2014

BA Business Line Contents High 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 14 th – 16 th 2014

CAPABILITY DESIGN MANAGEMENT IMPLEMENTATION STATISTICAL PRODUCTION CORPORATE SUPPORT (Legal framework; HR, Finance and Administrative Management; etc.) STRATEGY (Strategic relations; Strategic planning; Policy definition; budgeting; etc.)

I7 I6 I4,I 5 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 Process Analyse: validate and finalise output Dissemination (also with Web 2.0/3.0 ) Analyse: apply disclosure control Validated internal microdata and metadata Internal aggregated data and metadata Output Micro and macro data and metadata STRATEGY and CORPORATE SUPPORT DESIGN MANAGEMENT IMPLEMENTATION Stakeholders Users Respondents/ Administrative sources/Big Data Metadata - Catalogue:  products  quality Metadata - Progress Reports (Audit) From S1 to S4 D4 D3 D2 D1 I1 I2,I 3 From M1 to M3 Repository of Data and Metadata RDM Repository of standard Methods and Guidelines RMG Reference and structural metadata Strategic planning metadata Repository of Tools and Applications Repository of Human Resources Competencies RHC RTA CAPABILITY STATISTICAL PRODUCTION M S; CS D4 From C1 to C4 STRATEGY: Strategic relations; Strategic planning; Policy definition; budgeting; etc. From CS1 to CS5

The BA Model Nadia Mignolli. Dublin, April 14 th – 16 th 2014

Infrastructures Nadia Mignolli. Dublin, April 14 th – 16 th 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 14 th – 16 th 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 14 th – 16 th 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 14 th – 16 th 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 14 th – 16 th 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 14 th – 16 th 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 14 th – 16 th 2014

Contacts: Thank you for your attention Nadia Mignolli. Dublin, April 14 th – 16 th 2014