An analytical model for dynamic data contextualisation to inform resilience in the South African financial services industry

Abstract

The work presented extends and contributes to research in business continuity management systems and focuses on a data driven approach to organisational context as defined by Clause 4 of the ISO22301 Standard. Although previous work in this area has produced resilience and business continuity Frameworks, practical systems design principles and measurement, there has been limited investigation into the commonly encountered scenario of effectively managing data to inform the Business Continuity Strategy (Clause 8). In the report presented, a systems thinking approach has been applied to extend the Business Continuity Management Frameworks practically integrating a system of insight into environmental scanning and information seeking components of the system. Environmental scanning simulation and taxonomy classification mapping results were obtained through ethnographic standardisation and subsequent data modelling of a system of insight. This represents a unique and valuable contribution to practitioners and systems engineers working in the field of Business Continuity Management and Business Resilience.