What does it mean for me?
The business view
30. GSIM will help you in effectively managing your organisation’s business architecture by providing a standardised list of information objects used in the statistical production. Mapping actual inputs and outputs of the statistical production onto information objects of the GSIM supports standardisation across subject matter domains.
31. GSIM will help you to improve your communication with colleagues (both locally and internationally). Communication of subject matter between domains is often poor, making the sharing of concepts, variables, and design components difficult without a complex mapping exercise. GSIM can serve as a common language and will ease communication between:
- Subject matter specialists, methodologists, architects, information technologists, quality managers and metadata managers;
- Statisticians in different domains of a statistical organisation;
- Statisticians in different organisations.
32. GSIM will help you design and understand your processes (and their inputs and outputs) better.
33. For a production cycle, a statistician can design the input and the output, and the process in-between. In GSIM terms, the output and the input can be designed in terms of structures and concepts information objects, and the process in-between can be designed using the business information objects. The structures and concepts objects are provided by subject matter specialists.
34. As seen in Figure 5, if the GSBPM is considered as a frame of reference for statistical production processes, the top level can be considered as equivalent to the statistical production process as a whole. The next level down corresponds to a phase of the statistical production process (for example the “Process” phase of the GSBPM). The third level corresponds to a sub-process (for example sub-process 5.3 of the GSBPM – Review and validate). The fourth level consists of the individual building blocks within the sub-process, such as detecting financial values that might be expressed in thousands rather than units.
35. An important issue for statisticians is the problem of single-use design components, which are often recreated or at least modified for each production cycle. GSIM facilitates the description of inputs and outputs at each level of the GSBPM, following the same pattern thus providing a consistent structure to design statistical processes. It supports the design, specification and implementation of harmonised methods and standard technology to create a generalised statistical production system.
36. Using GSIM will enable producing reusable and flexible process building blocks which can be used by statisticians to produce final products of varying complexity, facilitating the production of a wider variety of products and responding more easily to changing client needs.
37. The use of GSIM, in combination with other ModernStats models, will reduce workloads as many processes can be repurposed and reused. This means less time spent on repetitive work and more time for innovation.
38. In the long term, GSIM, in combination with other ModernStats models, will make statisticians less reliant on information technologists. Due to tools that can be designed and developed to be parametrized for dealing with projects from different domains.
39. Statisticians are very much concerned today about the applicability, usability and stability of their methods and technical solutions. In the “stove-pipe” approach to statistical production, the subject matter specialist is heavily dependent upon the information technologists in the design, build and production of statistical systems.
40. Statisticians will gain greater control over the design of their processes making them more self-supporting in the design and production of their statistics.
41. Production will be based upon more standardised applications that are more robust to change and less vulnerable to changing personnel. An increase in the use of standardised applications implementing standardised methods, which can easily be shared across domains, will enable statisticians to more easily work in different domains.
Figure 5. GSIM information objects
in the context of GSBPM
The information technology view
42. The main concern for information technologists is the duplication of effort due to the “stove-pipe” organisation of statistical production. Unstable and different requirements from these “stove-pipes” lead to tailor-made one-off solutions, whilst a high turnover of Information Technology (IT) staff can result in poorly documented and non-standard applications.
43. The introduction of GSIM both at the national and at the international level can bring short term benefits for IT specialists. GSIM will provide a common language for information technologists to talk to clients and colleagues both locally and internationally. The semantic network of information objects provided by GSIM helps to understand their intrinsic relations and to improve the design of platforms of systems that are more interoperable with each other.
44. At the national level, statisticians will become more self-supporting in the design (see Figure 6) and the production of their statistics reusing and repurposing harmonised components as GSIM, together with other ModernStats models, will enable more flexible and modular production systems. Production will be based upon more standardised applications that are more robust to change and less vulnerable to changing of IT personnel. An increase in the use of standardised applications, which can easily be shared across domains, will enable the IT specialists to more easily work in different domains.
45. The use of GSIM will reduce the workload as many components can be repurposed and reused. This means less repetitive work and more time for innovation.
46. This will free the IT staff to make more robust applications and explore new ways to better meet the changing needs of the statistical organisation and their clients at large. This will include more time for the creation of robust, modular, harmonised, well-documented processes that comply with the requirements of CSPA.
Figure 6. Design your own imputation process
47. At the international level, there will be increased possibilities for co-design and co-development of common components based upon more robust user-requirements from a wider user community. The IT developers will also have access to a larger development community that all speak the same language to describe their statistical information.
The management view
48.Using GSIM (especially when it is used with GSBPM together) as a base for standardised information objects can support various management activities covered by GAMSO activity areas:
- For the top management - making decisions and planning on statistical programs, and the controlling activities;
- For financial management – controlling system for statistical business process and calculating costs of statistical products;
- For quality management – designing a quality indicator, implementing quality framework and monitoring product and process quality;
- For methodology management – designing, standardising and maintaining methodologies;
- For information management – managing metadata and data management system/tool and compiling data management strategy.