Euro Groups RegisterTOWARDS INTEROPERABLE STATISTICAL BUSINESS

REGISTERS

Harrie van der VenProject manager ESSnet EGR

January 2014Valencia

Euro Groups Registera complex project with an intensive cooperation between Eurostat, NSI’s, ESSnet and IT service provider s

ESSnet partners during the MEETS program:

Objective of the Euro Groups registerThe Euro Group Register (EGR) provides

an infrastructural element for the production of coordinated and consistent

statistical output on globalisation in EU

The EGR should become the “backbone” for statistics on

globalisation by offering a register of statistical units to be used

for deriving frame populations by all statistical authorities of

EU+EFTA

The issue: FATS discordance

N of Enterprises Turnover Persons employed

Mining and quarrying 0% 162%

Manufacturing 138% 115% 118%

Electricity, gas, steam and air conditioning supply 120% 125% 111%

Water supply; sewerage, waste management and remediation activities 88% 460% 129%

Construction 84% 21% 60%

Wholesale and retail trade; repair of motor vehicles and motorcycles 67% 71% 56%

Transportation and storage 150% 122% 101%

Accommodation and food service activities 232% 57% 57%

Information and communication 124% 81% 92%

Real estate activities 357% 11000%

Professional, scientific and technical activities 195% 94% 97%

Administrative and support service activities 166% 73% 108%

Total 118% 92% 89%

Outward FATS (DE-FI-FR-UK) in % of Inward FATS (NL)

What has been achieved in the

MEETS program?

EGR frame population methodologyThe concept of ‘frame population methodology’ refers to a

method, rules and procedures for defining and using frame populations in statistical activities.

The ESSnet EGR developed a such a methodology for FATS statistics: Outward FATS and Inward FATS including operational rules to be applied in data quality management for national statistical business registers as well as EGR.

The ESSnet EGR developed a statistical service for statisticians to select coordinated frame populations for FATS statistics (ready for use)

EGR frame population service: selecting coordinated populations for FATS statistics ( a screen shot)

EGR Identification serviceThe EGR concept is based on a collaborative system of

national and central business registers

The unique identification of legal units and statistical units is a core critical requirement for a successful implementation of this concept

The ESSnet EGR developed a service for a unique identification of legal units worldwide to be used by business registers staff as well as statisticians

EGR identification service: identifying legal units worldwide (a screen shot)

EGR process and information models

A collaborative network requires common process, information and data models, guidelines etc. The ESSnet EGR designed and still is designing such models.

A sustainable EGR needs more:

INTEROPERABILITY

Lack of interoperability (1)Present situation (at national as well as EU level):1. No standard on creation of frame populations (different

models: frozen frames, ‘live’ frames)2. No standard on the maintenance of frame populations:

different ways of dealing with ‘errors’ and time lags3. Different ways of using of statistical business registers in

business statistics4. No common information, data and process models 5. Lack of generic tools for handling data sets, e.g. validation,

data exchange

Lack of interoperability (2)As a consequence:1. Maintenance of EGR a laborious process2. Maintenance of EGR an error-prone process 3. No sufficient and effective use of EGR in business statistics4. Continuing inconsistencies in statistics on globalization5. Missing opportunities for producing statistics on

globalization by using available data 6. Data sharing impossible or complex

Towards the ESBR projectThe ESBR project is initiated by the EGR project to tackle the

issues of interoperability

Interoperability not only needed between statistical business registers but also between statistical business registers and statistical production processes (especially globalization)

The further development of the EGR as a network of statistical business registers builds the core of the ESBR project

Links with other ESSnetsProfiling: tool for data quality management

Consistency: analysis and proposals on strengthen the role of statistical business registers

Data warehousing: statistical business registers should become providers of ‘backbone’ (statistical units)

Global value chain: provider of user requirements concerning statistics on globalization

SIMSTAT: standards on exchange of micro data

MEMOBUST: provider of ‘best practices' and methodological solutions

ESBR: the way to go forward 1. Crucial: a structured way of working by

applying business architecture principles (e.g. CSPA, GSBPM, GSIM)

2. Start with: evaluation and integration of results of different relevant ESSnets into a ‘Business model for interoperable statistical business registers’

3. Get a high level ESS agreement on the ‘Business model’

4. Work out and implement the ‘Business model’