On the Design and Implementation of a
Generalized Process for Business Statistics
Advisory Board, 19/11/2018
M. Bruno, G. Ruocco, M. Scannapieco
 Objectives
 What have we done?
 GPBS Architecture
 Preliminary results:
 Metadata: GSIM compliant process metadata
 Working data: standardization of survey data and
metadata
 Statistical service proof-of-concept: data persistence,
metadata management and workflow management
Outline
2Generalized Process for Business Statistics – Advisory Board, 19/11/2018
Standardization of methods, metadata and
IT tools to be used in business surveys
production chain
[AS-IS] Business Surveys [TO-BE] Integrated Surveys
3
Objectives
«GPBS has the main objective of designing and
implementing a standardized system to support
business statistics»
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
GPBS within the Advisory Board
 GPBS proposed to the Advisory Board in november 2017
 Main recommendations:
 data driven workflow
 generalized functionalities to integrate ad-hoc legacy
applications in a standard environment
 analysis of generalized tools developed by other NSIs
(e.g. BANFF from Stat. Canada)
4
What have we done? (1/2)
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
 Selected a subset of Short-Term business Statistics (STS) and
Structural Business Statistics (SBS)
 Analysed International Standards in the context of Official
Statistics:
 EARF: Enterprise Architecture Reference Framework
 CSPA: standard for sharing statistical services
 GSDEM: standard for editing & imputation
 GSIM: information objects in statistical processes
 Started the design and implementation of the TO-BE
architecture
5
What have we done? (2/2)
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
GPBS Architecture (1/2)
6
Source: ESS Statistical Production Reference Architecture (SPRA)
Metadata
Repository
Orchestrator
Statistical
Service
Data
Repository
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
GPBS Architecture (2/2)
7
Source: ESS Statistical Production Reference Architecture (SPRA)
S-META
Orchestrator
SELEMIX
WORKING
DATA
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
8
GSIM compliant process metadata (1/2)
S-Meta component: conceptual level model
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
Metadata Team
9
GSIM compliant process metadata (2/2)
S-Meta component: logical level model
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
IT Architecture Team
10
Working data
Survey data and metadata modelling: from legacy systems to a
generalized data architecture
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
Working Data Team
11
Statistical service proof-of-concept (1/2)
Business process modelling: design and preliminary
implementation of the core functionalities of a statistical
service for selective editing
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
Methodology Team
12
Statistical service proof-of-concept (2/2)
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
Recommendations and service architecture
 Analyse what each step in the processes to implement requires
from the legacy apps (‘Data repository’ and ‘Working data’);
 Capture the relevant (configurable) data processing parameters;
Specification of the decision points and how the parameters affect
the process; Lightweight solution to document the schema of
inputs/outputs (‘Metadata repository’).
Thank you!
13Generalized Process for Business Statistics – Advisory Board, 19/11/2018
Trying to Keep It Simple and Stupid
(KISS)

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SESSION IV Quality issues and generalized business processes - M. Bruno, Generalized Process for Business Statistics

  • 1. On the Design and Implementation of a Generalized Process for Business Statistics Advisory Board, 19/11/2018 M. Bruno, G. Ruocco, M. Scannapieco
  • 2.  Objectives  What have we done?  GPBS Architecture  Preliminary results:  Metadata: GSIM compliant process metadata  Working data: standardization of survey data and metadata  Statistical service proof-of-concept: data persistence, metadata management and workflow management Outline 2Generalized Process for Business Statistics – Advisory Board, 19/11/2018
  • 3. Standardization of methods, metadata and IT tools to be used in business surveys production chain [AS-IS] Business Surveys [TO-BE] Integrated Surveys 3 Objectives «GPBS has the main objective of designing and implementing a standardized system to support business statistics» Generalized Process for Business Statistics – Advisory Board, 19/11/2018
  • 4. GPBS within the Advisory Board  GPBS proposed to the Advisory Board in november 2017  Main recommendations:  data driven workflow  generalized functionalities to integrate ad-hoc legacy applications in a standard environment  analysis of generalized tools developed by other NSIs (e.g. BANFF from Stat. Canada) 4 What have we done? (1/2) Generalized Process for Business Statistics – Advisory Board, 19/11/2018
  • 5.  Selected a subset of Short-Term business Statistics (STS) and Structural Business Statistics (SBS)  Analysed International Standards in the context of Official Statistics:  EARF: Enterprise Architecture Reference Framework  CSPA: standard for sharing statistical services  GSDEM: standard for editing & imputation  GSIM: information objects in statistical processes  Started the design and implementation of the TO-BE architecture 5 What have we done? (2/2) Generalized Process for Business Statistics – Advisory Board, 19/11/2018
  • 6. GPBS Architecture (1/2) 6 Source: ESS Statistical Production Reference Architecture (SPRA) Metadata Repository Orchestrator Statistical Service Data Repository Generalized Process for Business Statistics – Advisory Board, 19/11/2018
  • 7. GPBS Architecture (2/2) 7 Source: ESS Statistical Production Reference Architecture (SPRA) S-META Orchestrator SELEMIX WORKING DATA Generalized Process for Business Statistics – Advisory Board, 19/11/2018
  • 8. 8 GSIM compliant process metadata (1/2) S-Meta component: conceptual level model Generalized Process for Business Statistics – Advisory Board, 19/11/2018 Metadata Team
  • 9. 9 GSIM compliant process metadata (2/2) S-Meta component: logical level model Generalized Process for Business Statistics – Advisory Board, 19/11/2018 IT Architecture Team
  • 10. 10 Working data Survey data and metadata modelling: from legacy systems to a generalized data architecture Generalized Process for Business Statistics – Advisory Board, 19/11/2018 Working Data Team
  • 11. 11 Statistical service proof-of-concept (1/2) Business process modelling: design and preliminary implementation of the core functionalities of a statistical service for selective editing Generalized Process for Business Statistics – Advisory Board, 19/11/2018 Methodology Team
  • 12. 12 Statistical service proof-of-concept (2/2) Generalized Process for Business Statistics – Advisory Board, 19/11/2018 Recommendations and service architecture  Analyse what each step in the processes to implement requires from the legacy apps (‘Data repository’ and ‘Working data’);  Capture the relevant (configurable) data processing parameters; Specification of the decision points and how the parameters affect the process; Lightweight solution to document the schema of inputs/outputs (‘Metadata repository’).
  • 13. Thank you! 13Generalized Process for Business Statistics – Advisory Board, 19/11/2018 Trying to Keep It Simple and Stupid (KISS)