• BOP-DSD: a common language for data computation and data dissemination

• SDMX-ML: a driver for a large modernisation project

BOP-DSD and SDMX-ML: two joint innovations at the Banque de France

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1. BOP-DSD

• Administrative organization in BdF: by BOP item and reporters’category

• One centralising software NAB– one code structure BOP-DSD

• 16 common dimensions + 3 own dimensions • One code for each series of a large dataset • Issues and challenges

BOP-DSD and SDMX-ML: two joint innovations at the Banque de France

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Administrative organization in BdF: by BOP item and reporters’category

Directorate General

Statistics

Directorate Balance of Payments

(DBDP)

Synthesis division (SDS)- Gal Gvt, travel and aggregation

Securities division (SDT) - PI

Financial Intermediaries division (SIF) – OI of AM, MFI, Investment firms, non monetary funds

Directorate Surveys and

Sectoral Statistics

(DESS)

Direct Investment division (SID)- DI

Full Direct Reporters division (SDDG) – big non financial players+ big insurance companies

Entreprises international transactions surveys division (SEOIE)- small and medium non financial firms

Statistical and IT

engineering directorate

(DIMOS)

Data storage and dissemination division (SBDD)

IT project and maintenance division (SPMS)

Statistical Engineering and methodology division (SIMS)

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One centralising software NAB– one unique code structure BOP-DSD

Reporting agent

Reporting agent

Onegate

SAS programs for producing

division

NAB software for producing

divisions

NAB-aggregation

module

Code structure for data: BOP-DSD + own

dimensions

MSBI-OLAP

In our production process, we felt we needed three more dimensions:

- Producing division: to identify who to contact when there is a question on series (from the experience with our past software, a centralised software makes it easy to forget the organisation of the production)

- Transaction origin: in particular in the UE, we compute trade of goods in terms of country of provenance (for UE aggregates) and country of origin (for our own communication)

- Fobisation: whether goods and services are computed before or after fobisation

16 common dimensions + 3 own dimensions

• External diffusion: – International organisations IMF, OECD, ECB, Eurostat, world bank, BIS – French national statistical institute INSEE – Annual report of balance of payments – Webstat http://webstat.banque-france.fr/en/

• Internal diffusion

– Financial national accounts – Banque de France’s internal database

Same classification for production and diffusion

Avoid multiplying codes for external statistics (around 1000 BoP items) that are numerous because of country (around 300), currency dimensions (usual values: €,$, £, ¥)

Allow the systemisation of computations, that were not possible when in particular balance of payments and international investment position items had incoherent codes

One code for each series of a large dataset

• Combining all dimensions in all directions produces rapidly an explosive number of series – Need for careful analysis of the workflows and

engineering process – Both at functional and technical levels (ie software and

mainframe parameters)

Issues and challenges

2.SDMX-ML : a driver for a large modernisation project

• The Banque de France is modernising its time series

management process

• Challenges faced by the Banque de France

• A transversal project

• New tools to be implemented

• Benefits expected from the project

BPM6 and SDMX-ML: two joint innovations at the Banque de France

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• The current database framework was designed in 1998

– Sharp rise in the number of series stored and disseminated – SDMX codification – Evolution of interfaces – Increased need to secure confidential data – ...

=> obsolete

• A modernisation project scheduled for 2014 and 2015

The business case is being prepared

The Banque de France is modernising its time series management process

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A transversal project

ECB and EUROSTAT

DATA STORAGE AND DISSEMINATION DIVISION

Data management, coordination

IT DIVISION

Design of the new technical architecture, software

integration and development

DATA PRODUCERS

Data migration to new SDMX codification

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• SDMX-ML dissemination at the core of the project;

target:2014 SDMX 2.0 2014 deadline: June for BPM6 and September for ESA2010

Data migration towards new SDMX BPM6 and SNA codification in progress in 2013

• Budgetary constraints

• Human resources: cooperation with external IT specialists

• Design of a long lasting environment

SDMX-ML : challenges faced by the Banque de France

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• Dissemination process incorporated in the future environment

• Data directly posted by the producers into the system

• Storage of successive versions

• Confidentiality and embargo management

• Data encryption embedded in the data base

• Automated data dissemination quality check

• More user-friendly search engine

• Graphic options & predefined automated scoreboards

• Data customisation for specific statistical software (SAS, Eviews, BO...)

• Possibility for producers and users to share a common work space

New tools to be implemented in the future data environment

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• BPM6 and ESA2010 data management

• Standardised data dissemination with international institutions

• More convenient and efficient maintenance of the system

• Enhanced security of the storage and dissemination process

=> easier to store and disseminate confidential data

• Easier and more efficient data management quality check

• More cooperation between data producers and users

• Better data sharing

• Improved external image

Benefits expected from the project

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