The paper is an introduction to the new conceptualization of the business intelligence modeling from the perspective of meta-systemic knowledge and socio-cognitive values involved in the management of large complex heterogeneous real-world systems integrating human, technological and environmental components. On the other hand, the paper demonstrates how the application of a modern systemic approach TOGA (Top-down Object-based Goal-oriented Approach, its top-ontology, and artificial intelligence software technologies enable together to define meta-modeling frameworks and to indicate why, where and how business intelligence can be constructed and reinforced.
This approach should lead to the indication of critical factors of business organizations, and, as a consequence, to the development of intelligent business decision support systems. Conscious applications of socio-cognitive engineering paradigms should also dramatically improve quality, efficiency and efficacy of the design, planning and management of business enterprises.