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SDMX at the BIS – from the core to the boundaries

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Presentation on theme: "SDMX at the BIS – from the core to the boundaries"— Presentation transcript:

1 SDMX at the BIS – from the core to the boundaries
SDMX at the BIS – from the core to the boundaries Heinrich Ehrmann Head of Statistical Information Systems, BIS SDMX Global Conference Addis Ababa, 2-5 October 2017 The views expressed are those of the author and do not necessarily reflect those of the BIS or the SMDX sponsors.

2 SDMX usage in a nutshell
SDMX usage in a nutshell use attributes to drive calculations VTL for expressions mapping from XBRL ? input processing EXCEL templates mapping transformation exchange formats information model ==> storage model structure validation “reporting universe” validation search/retrieval VTL for validation “calculate” attributes aggregation

3 Core features and their current usage
Core features and their current usage .… storage model common set of tables containing metadata (SDMX IM) common set of tables for config/access control (BIS specific) dataflow specific sets of tables for each Dataflow (SDMX IM) …. exchange format almost all data exchanges with the BIS data providers and recipients are based on SDMX formats remaining cases are transformed to SDMX with simple pre-processing scripts

4 Core features and their current usage
Core features and their current usage .… provisioning of (new) dataflows validate and load metadata (concepts, DSDs, codelists, … ) create tables for dataflow(s) (generated from metadata) add complementary config information (manual/interactive step per dataflow) validate and load data (routines are generated at runtime) search/retrieve/disseminate data (interfaces and routines are generated at start-up/runtime)

5 New features (work in progress)
New features (work in progress) .… storage model add constraints, hierarchical codelists and structure maps to the common set of tables containing metadata (SDMX IM) …. further automation of data processing make use constraints for validating the reporting universe make use of hierarchies to calculate aggregates generate EXCEL reporting templates (using related metadata) process input data from EXCEL templates make use of structure maps to convert between DSDs expose data via SDMX Restful webservice expose data via ODBC interface (table-valued functions generated from metadata)

6 Outlook (pending progress of SDMX roadmap 2020)
Outlook (pending progress of SDMX roadmap 2020) use VTL for communicating and implementing calculations integrate entity-level data (e.g. instrument level data) map to/from neighbouring exchange standards (e.g. XBRL) extend “attribute based calculations”

7 Limits of automation (work without progress)
Limits of automation (work without progress) .… use attributes for calculations only the simple cases of standardised homogenous attributes lend themselves for automatic usage in calculations (e.g. “observed” – indicating the max-/min-/sum-/end-of-period characteristic of an observation) standardisation and semantics of key attributes like “UNIT” are typically not up to a level that allows programmatic use …. create attributes via calculations even for homogenous components of an expression statisticians find it hard/impossible to specify algorithms that would set the resulting attributes (e.g. averaging across 10 confidential observations)

8 In summary … SDMX is tremendously useful for the BIS statistical data processing of aggregated data for the core phases as described by the GSBPM extending the processing to entity level data is (not yet) a smooth fit to the SDMX information model – but progress is under way automatic use or creation of SDMX-attributes in calculations - still a vision -

9 Thank you Heinrich.Ehrmann@bis.org +41 61 280 6754 (office)
Thank you (office) (mobile)


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