According to the 2021 survey on the use of “ModernStats” models[1], the Generic Statistical Business Process Model (GSBPM) is widely implemented, while the use of Generic Activity Model for Statistical Organisations (GAMSO), Generic Statistical Information Model (GSIM), and Common Statistical Production Architecture (CSPA) is more limited.
To highlight, out of the 45 respondents, two-thirds answered that there is widespread awareness and high level of familiarity with the application of GSBPM. For the organisations that took part in both surveys in 2018[2] and 2021, half of them reported increased use of GSBPM to modernise their statistical production process. Many of the organisations reported to have further developed a national version of GSBPM, with modification of phases and sub-processes in GSBPM and addition of a finer level of details based on the local context.[3] The top three benefits of using GSBPM identified by the respondents are (i) ease of internal communication, (ii) facilitation of quality management, and (iii) ease of comparing processes and identifying inefficiency within the organisation.
Regarding the limited use of GAMSO, GSIM, and CSPA, the major reasons behind are the lack of awareness and related knowledge, while some reported that they have their own model and do not feel the need to adapt to these models. In addition, organisations generally lack human resources and expertise to implement the model. It hinders further application of the model, despite the widely recognized benefits of facilitating the share of methods, service or capability within the organisation as well as easing internal communication.
The ModernStats models discussed above provide a common language and tool to map all activities within and between statistical organisations to a common approach. They enable statistical organisations to collaborate and facilitate exchange of information and the sharing of statistical services, thereby contributing to the advancement of official statistics at the national and international levels for evidence-based policymaking and assessing progress towards achieving the Sustainable Development Goals.
To promote the use of modernisation statistical models, a proactive communication strategy and capacity building programme are essential. UNECE will also continue to work closely with statistical organisations to update the models as well as improve linkage and consistency among the models to support wider integration and implementation.
[1] The online survey was conducted in February and March 2021.
[2] Results of the 2018 survey can be found at https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.58/2018/mtg1/UNECE_CHOI_Presentation.pdf
[3] Under the High-level Group for the Modernisation of Official Statistics (HLG‑MOS), the Supporting Standards Group provides support for the implementation of the “ModernStats models”. A new task team was created in 2021 to compile examples of finer level of GSBPM activities, identify commonalities among them, and prepare a supplementary document to support countries using GSBPM in more detailed level as well as provide input for the next GSBPM revision.