“GSBPM describes and defines the business processes needed to produce official statistics. It provides a standard framework and harmonised terminology.

GSIM provides a common language for describing information that supports the whole statistical production process, from identifying user needs to disseminating statistical products.”

Efficient workflows and the use of modern technologies are key to improving the efficiency, transparency, and adaptability of statistical production processes. At ORBICAP, we support organisations in optimising their workflows by aligning processes with established quality assurance frameworks and ensuring that quality-related documentation is in place at all levels—organisational, process, and product.

Our approach is practical and grounded in international best practices. By addressing inefficiencies and integrating appropriate technologies, we help organisations streamline their operations, improve resource utilisation, and ensure that workflows remain resilient to change.

Key Services:

  • Business Process Mapping and Analysis:
    Mapping and analysing end-to-end statistical production processes using frameworks like the Generic Statistical Business Process Model (GSBPM) and the Generic Statistical Information Model (GSIM) to ensure standardisation and efficiency.

  • Bottleneck Identification and Resolution:
    Identifying inefficiencies and streamlining workflows to improve agility, resource utilisation, and overall productivity.

  • Automation and Technology Integration:
    Supporting the transition to modernised production environments by integrating automation, digital tools, AI, and machine learning into statistical workflows. Knowledge of privacy-enhancing technology is conveyed.

  • Administrative Data Integration:
    Incorporating administrative data and registers enhances efficiency, reduces collection burdens, and aligns with strategic goals.

  • SDMX and GIS Guidance:
    Provided infrastructural advice on integrating statistical data and metadata exchange (SDMX) protocols and geographical information systems (GIS) data to support data interoperability and achieve sustainable development goals (SDGs).