Statistics production

Use case
Statistics production

Statistics production benefits greatly from the introduction of metadata-driven processes and tools. This benefit increases even further if validation, transformation, and aggregation processes are metadata driven.

Repeatable and systematic metadata-driven statistics production

For statisticians, data collectors, data reporters and data publishers.

While Statistics Dissemination is essential to ensuring relevance of statistical outputs, it is statistics production where the complex and highly specialised tasks of validating and aggregating data takes place along with the production and analysis of high quality statistics.

Statistics production benefits greatly from the introduction of metadata-driven processes and tools. This benefit increases even further if validation, transformation, and aggregation processes are metadata driven.

Here you will find information about flexible data processing tools and integrations for data validation, data transformation (mapping), converting data between transmission formats, and more, in support of the statistics production process.

Articles

How to use an external database with the FMR Docker image
BIS IT

How to use an external database with the FMR Docker image

Learn how to setup an external database for FMR's operational storage in preference to MySQL.

Creating balance equality validation rules using hierarical codelists in FMR
BIS Statistics Operations

Creating balance equality validation rules using hierarical codelists in FMR

Learn how Hierarchical Codelists can be used to define balance equality validation rules.

Simplifying Data Collection thru Dissemination using open source tools and SDMX
BIS Statistics Operations

Simplifying Data Collection thru Dissemination using open source tools and SDMX

From data collection through dissemination using open source tools and a data model.

Learning Resources