Problems of the Typology of the Statistical Production Processes Results by Information Objects in GSBPM

Abstract

The article analyzes the results of the process components (PC) of technological plan (program) of official statistical observations (TP OSO) in Ukraine for 2014–2015. TP OSO was designed for the process scheme based on Generic Statistical Business Process Model (GSBPM) with details of PC hierarchical levels: "process sub–process – procedure – operation".

Based on the analysis, the typology of PC results is made, with linking them to top–level groups of information objects (IO) of Generic Statistical Information Model (GSIM). TP OSO was designed by the State Statistics Service of Ukraine as a tool to improve statistical production process management, including planning, monitoring, audit and results evaluation. The release version of the Classifier of Processes and Processes

Elements of Statistical Production Processes (Classifier) for TP OSO was created in 2013–2014. Classifier includes Reference Book of TP OSO Performed Procedures and Operations Results (Reference Book). Reference Book is organized as a nomenclature of results for each operation or a procedure without operation. This nomenclature was produced from result descriptions in the pilot project of TP OSO in 2013–2014. Reference Book aims at systematizing various result descriptions and creating the framework for constructing the result descriptions standard. This standard is supposed to provide the consolidated use of statistics in the information media, in order to make the statistics readily available for interpretation and comparison, and to be used in constructing a meta–database about statistical production process once typology and unification of result descriptions for each PC is made.

Developing the typology algorithms for results of PC GSBPM as the framework for constructing the standard for their description has importance for reorganization of the Ukrainian statistical production, because these results are information components of GSIM, and GSIM refers to the highest level of information architecture in the CSPA framework.

The link of Generic Activity Model for Statistical Organisations (GAMSO) and GSBPM (as a part of GAMSO) with GSIM is analyzed. The basic components of the input data and results of PC GSBPM for TP OSO are identified. A scheme is given, illustrating movement of information objects representing input information and results of PC in GSBPM. This scheme can be used as a pattern for description of information flows in the Information Architecture of CSPA. Typology of the PC performance results, shown in the scheme, was made (without reference to a specific PC), with subsequent detailing of selected types. Thereby, the typology of results is made by type of result in a specific group of IO GSIM.

Further steps are proposed to for rationalization of statistics production process and CSPA development:

• Develop a standard for PC of TP OSO results descriptions by type of result on the basis of the results of TP OSO for 2014–2915; use this standard to systematize Reference Book, with linking the results to IO GSIM, and make the appropriate changes in PC descriptions in the Classifier.
• Make a comparative analysis of official statistical observations (OSO) schemes of similar type (by periodicity, coverage of statistical observation units and other characteristics) and a selected OSO performed in various years, to evaluate its effectiveness.
• Define the patterns for typical scheme of production process for similar groups of OSO and other types of statistical work.
• Make recommendations for improvement of statistical work, to ensure data quality.
• Using the improved Classifier and Reference Book, up–date the information and reference database for the computerized cost accounting system operating in Ukrainian official statistics bodies, in order to set up the conditions for evaluating the production process effectiveness.
• Optimize the functionality of statistical work and the organizing structure of the official statistics bodies.

The proposed principles for using the typology of PC performance results are expected to improve statistical production by harmonization and standardization of various parts of this process. This will promote shared use of tools, services and solutions to attain the goal: to set up turnaround management of changes in a way suitable for a particular change.